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- Published: 23 August 2023
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Meta-analysis of food supply chain: pre, during and post COVID-19 pandemic
- Abdul Kafi ORCID: orcid.org/0000-0002-7300-6898 1 ,
- Nizamuddin Zainuddin 1 ,
- Adam Mohd Saifudin 1 ,
- Syairah Aimi Shahron 1 ,
- Mohd Rizal Razalli 1 ,
- Suria Musa 1 &
- Aidi Ahmi 2
Agriculture & Food Security volume 12 , Article number: 27 ( 2023 ) Cite this article
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Metrics details
Despite the unprecedented impact of COVID-19 on the food supply chain since 2020. Understanding the current trends of research and scenarios in the food supply chain is critical for developing effective strategies to address the present issue. This study aims to provide comprehensive insights into the pre, during, and post COVID-19 pandemic in the food supply chain.
Methodology
This study used the Scopus database from 1995 to November 6, 2022, to analyse the food supply chain. Bibliometric analysis was conducted using VOSviewer software to create knowledge maps and visualizations for co-occurrence, co-authorship, and country collaboration. Biblioshiny, a shiny app for the Bibliometrix R package, was then used to explore theme evaluation path maps in the research domain.
The bibliometric analysis of 2523 documents provides important insights into present and future publication trends. Top author keywords included blockchain, traceability, food safety, sustainability, and supply chain management. The Sustainability (Switzerland) journal ranked first in productivity, and the International Journal of Production Economics received the highest citations. The United Kingdom was the most productive country, collaborating with partners in Europe, Asia, and North America. The Netherlands had the highest percentage of documents with international authors, while India and China had the lowest. The thematic evaluation maps revealed that articles focused on important research topics including food processing industry, information sharing, risk assessment, decision-making, biodiversity, food safety, and food waste.
This study contribute to the growing body of literature on the food supply chain by providing a comprehensive analysis of research trends during different phases of the pandemic. The findings can be used to inform policymakers and industry leaders about the measures required to build a more resilient and sustainable food supply chain infrastructure for the future. This study considered only Scopus online database for bibliometric analysis, which may have limited the search strategy. Future studies are encouraged to consider related published articles by linking multiple databases.
Introduction
Food supply chains are extensively explored and dependent on worldwide situations. The COVID-19 pandemic has addressed the deficiency of flexibility in food supply chain, resulting in financial and social disasters with global implications [ 1 ]. Similarly, the COVID-19 pandemic has impacted the food supply chain, from field to consumer, which represents an important sector in any country. The discriminatory nature of the pandemic had a remarkable impact on people's lives and health standards, as well as global business, supply chains, and major economies [ 2 ]. Associated restrictions imposed during the pandemic affected the food safety of household by directly disrupting the food supply chain [ 3 , 4 ]. As a consequence of the severity, the stability of the food supply chain is essential to prevent interruption towards the national economy, social security and public health. Significant association of food supply chain occurred at the combination of dynamic, fragile and complicated that can simultaneously be influenced by the regulator actions, such as road closures, lockdown, and vehicle movement control. While such restrictions prevent the spread of a disease, they can also disrupt the trade of agricultural products and market chains [ 5 ]. Since the restriction was imposed by governments around the world, food distribution declined to 60% [ 6 ]. While, the COVID-19 pandemic also created serious obstruction in many sectors such as livestock production, vegetable production, plantation, cultivation and harvesting due to a shortage of labour as these sectors are comparatively labour-concentric [ 7 ]. Although, labour shortages also represented a crucial problem even before the beginning of the COVID-19 pandemic [ 8 ]. This issue is undermining the capability of farmers and agriculture enterprises to operate because of scarcity of workers owing to illness and physical distance during harvesting. These circumstances delayed the provision of food and agriculture input and integrated issues in the food supply chain to market [ 9 ]. However, several firms depend on their key inputs, whereby the maximum are more vulnerable to disruptions since domestic markets have to meet their requirements. Barriers to logistics which interfere food supply chain further weaken high-value commodities because of their limited shelf life [ 6 , 10 ]. Therefore, maintenance of logistical efficiency, particularly during and after the global crisis is a vital aspect of the food sector. Correspondingly, raw material procurement from suppliers is the biggest bottleneck in the food supply chain and ensuring a continuous flow of food from producers to end users [ 11 ]. The challenge is to risk the capacity of agriculture producers to operate as usual which can negatively affect freshness and food safety, food quality, and limit market entrance and pricing [ 10 ]. The effects on agricultural systems due to the pandemic depend heavily on the composition and intensity of agricultural activity and vary according to the product manufactured and the country. In low-income countries, productivity is mostly labour oriented, whereas, in high-income countries, capital-intensive practices are generally dependent on agricultural production. Therefore, the supply chain should remain operational with a focus on crucial logistical problems [ 6 ]. In addition, the supply chain involves not just producers, distributors and customers, but also labour concerted food processing plants. Production in several plants has been limited, interrupted or temporarily stopped owing to workers who have been identified COVID -19 positive and who have hesitated to go to work presuming they are sick, especially in meeting processing firms at the time of the pandemic outbreak [ 12 , 13 ]. Besides, another important factor that caused food supply chin disruption during COVID -19 pandemic is centralized food production. This approach has contributed to the production and cost reduction of food processors. Centralisation has some limitation such as inflexible and long supply chain problems. Furthermore, it might cause challenges to meet demand through a small numbers of very big production facilities [ 14 ] such as closing the full process if a pandemic leads to high volume production lines with less options. In the face of these problems, food supply chain have shown tolerable resilience while supermarket shelves were refilled with the disappearance of hoarding behaviour and the demand growth response to supply chains [ 15 ].
Although several articles were published and included the aspect of COVID -19 impact on the food supply chain but are primarily concerned with the focus on the subject. Direct studies were related to bibliometric analysis to know the trend and scenario of research were not known. Thus, it is crucial to provide information with a clear direction of the present research status and future trends in the COVID-19 food supply chain. Evidence from several cohort studies in the bibliometric analysis was conducted on food safety governance [ 16 ], food supply chain safety research [ 17 ], and agri-food value chain [ 18 ]. As far as we know, there are no bibliometric analyses conducted related to COVID-19 food supply chain pre, during and post-pandemic.
After identifying this gap, this study tries to fill the gap by developing a detailed analysis of COVID-19 food supply chain studies pre, during and post-pandemic. As a quantitative analysis method, a bibliometric technique is adopted to develop a trend in various domains and utilized to uncover the present status [ 19 , 20 , 21 ]. In bibliometric analysis, researchers can define fields of research, looking at the further direction of research, and getting involved with other institutes and countries [ 22 ]. Hence, this study specifically focused to answer the pertaining research questions to present the trend of the previous studies on COVID-19 and the food supply chain with the global development of the field.
What are the dynamics and trends of COVID-19 food supply chain literature?
What are the highly-cited documents in COVID-19 food supply chain research through time?
What are the most productive authors, countries, institutions, and source titles in terms of publication numbers?
What are the more productive keywords in the COVID-19 supply chain research pre, during and post-pandemic?
What is the current knowledge formation status relating to co-occurrence, collaboration and co-authorship linkage in COVID-19 food supply chain research?
Which are the most productive research themes, and how did they evolve through time?
This study adopted a bibliometric technique to analyse the publication of COVID-19 on food supply chain research extracted from the Scopus database to provide a functional overview of the current trend of predictable research throughout the world. Scopus is considered the largest cited and referenced abstract of literature containing a wide range of subject areas. Employing Scopus is, therefore, an attempt to comprise more subjects which are not explored in WoS [ 23 , 24 ]. This study will help researchers, policymakers and individuals to support food supply chain research trends and to explore the possibilities and opportunities for future study.
To answer the research questions, the paper is organized into the following sections. “Introduction” Section discusses a brief introduction to the topic including the current knowledge on the impact of COVID-19 on the food supply chain, the research gap, and the purpose of the study. “Literature review” Section discusses the literature review in the field of the COVID-19 food supply chain in general. “Bibliometric analysis and methods” Section describes the methodology used in this study which includes Bibliometric, Biblioshiny, and presents the flowchart and data analysis structure. “Results” Section covers the discussion to answer the above research questions and future research directions. “Conclusion” Section describes the conclusion that covers the contributions, limitations and future research scopes.
Literature review
The COVID-19 pandemic triggered disruptions to the food supply chains which included purchaser concern buying attitude for key items, as well as a rapid change in consumption trends, which shifts away from the food service industry and toward meals ready and consumed at home [ 25 ]. A similar study was focused on the supply chain and the food industry is no exception. Due to a decrease in demand, the closure of food production services, and financial constrain, the businesses are unable to continue supplying their products to stores[ 26 ], and the current status of the COVID-19 pandemic has put unprecedented pressure on food supply chains. These include bottlenecks in transportation, logistics, farm labour, and food processing [ 15 ]. This behaviour of the food supply chain (FSC) is identified a main reason worldwide [ 27 ]. The scenario is that the food supply chain is disrupted with a potential breakdown in food freight borders, increasing business flexibility and social capital through real-time business communication [ 28 ]. Because of emerging COVID-19 pandemic issues, there are major concerns about food production, manufacture, delivery, and consumption in the food supply chain [ 2 ]. Therefore, a lack of consumer access to food poses the ultimate threat to food security. There is also a massive rise in global food issue with the appearance of COVID-19 and the advent of numerous difficulties in all sectors of the food supply chain (such as production, distribution, and transportation), and this problem has taken on added significance [ 29 ].
COVID-19 pandemic has had a significant effect on the global food supply chain, raising public awareness about the constancy of the global food network and the significant interruption to food availability [ 30 ]. It is proven the COVID-19 pandemic has an effect on the agricultural and food supply chain from two angles, which are "food supply and food demand" [ 31 , 32 ]. In current months, the COVID -19 pandemic had threaten the global food supply chain creating economic instability, constraints to food accessibility, restrictions on farm commodity shipping, limitations on food production, difficulties in food product transit, evolving consumer demand, food production facility closures, shortages of farm workers to harvest vegetables, farm worker travel restrictions, and fruit deficiencies [ 33 , 35 , 35 ]. Therefore, numerous countries adopted diverse strategies to reduce the impact of COVID -19 on the food supply chain [ 34 ]. However, a potential problem still exists that need to be addressed to gradually resolve the present crisis. Hence, the global food supply chain is facing many issues resulting from the continuing COVID-19 pandemic around the world, which has prompted serious issues about food supply, distribution, processing, and demand [ 35 ]. Accordingly, the COVID -19 pandemic has increased disruption and damage to the global food supply chain in the following areas, which are (i) logistics (ii) harvest (iii) processing (iv) sourcing, and (v) go-to-market [ 36 ].
Bibliometric analysis and methods
Bibliometric analysis.
Bibliometric studies provide a wide range of options for understanding the significance of all studies. A quantitative and qualitative technique of bibliometric analysis is used for the publication of journals and articles, including their corresponding citations over time [ 37 ]. It differentiates the present status of research by measuring the scientific outcome of a country and institution and has played a major role in the past in influencing policymaking and improving the knowledge of science [ 38 , 39 ]. This also allows researchers to identify and help them to determine the scope of study topics, and plan their focused mind and projection of trends [ 40 ]. This method can provide a statistical output for calculating and estimating the number and development trends of a particular field [ 41 , 42 ]. Several studies have explored the food supply chain using the bibliometric technique [ 43 , 45 , 45 ]. This research provides a quantitative literature review by drawing connections between various keywords related to the food supply chain. It is a standardized technique for calculating and assessing written communication among authors [ 46 ], quantifying the trend and characteristics of a certain research area based on several measures [ 47 , 48 ], and focusing on research titles, keywords, affiliations, authors, and article publication [ 49 , 50 ], network and countries [ 51 ], co-authorship links, co-citation links, bibliographic coupling links that may be used in citation mapping to visualize a cluster or theme [ 51 ], and supply chain management [ 52 ]. In this study, Scopus databases are considered to extract necessary information. It is chosen as the source of the largest abstract indexing database and it is recommended by the previous studies that would cover a wide range of areas and provide comprehensive search options to help researchers develop search strings with accurate results, especially in broad areas of the research [ 44 , 53 ].
Thematic evaluation
Thematic evolution is a new research technique that is currently the widest accepted method for using many disciplines to measure the topic growth, evolution, and flow of a specific research area over time, supporting scholars in understanding the growth of a particular research area more methodically. This study used Biblioshiny, a shiny application for the Bibliometrix R package, to performthe thematic evaluation mapping [ 38 , 54 ]. To analyze the evaluation theme, the proportion of total authors' keywords indicated by drawing the range of the subject direction on the coordinate axis. The growth and decrease of the alluvial area represent the change in scale over time.
Data collection
This study has chosen the online Scopus database from 1995 to 6 November 2022 in food supply chain because it is the world's largest citation and abstract database of scholarly works from international publishers which provides a one-stop platform for scientific scholars [ 55 ]. Especially, compared to other databases like Web of Science (WoS), Google Scholar (GS), and PubMed (PubMed), Scopus has a wider variety of publications and helps with both keyword searches and bibliographic analysis [ 56 ]. Scopus has 20% higher coverage than WoS in terms of citation analysis, however, Google Scholar produces inconsistent results. PubMed is a database that is commonly utilised in scientific research [ 56 ]. Figure 1 shows the search strategy and detailed steps for the data collection for this study.
![research paper on food supply figure 1](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig1_HTML.png)
Flow diagram of article searching strategy of food supply chain documents
Search strategy
In a bibliometric study, it is important to choose the appropriate keywords. Based on the research questions, this study limited the search to two main title keywords: “food” and “supply chain”. Therefore, this research encompassed two possible combination strings of keywords that are relevant to the study’s topic. The title of an article should incorporate information that can be used to capture the attention of readers since it is the first element that readers will observe first [ 57 ]. Finally, this study comprises two search query strings TITLE (“food”) AND TITLE (“supply chain”). A total of 2523 research documents between 1995 and 6 November 2022 were obtained from the Scopus database (Additional file 1 ). There were no excluded methods applied during the search of the document as shown in Fig. 1 .
Tools and data analysis
Numerous disciplines had adopted VOSviewer to perform bibliometric analysis, e.g., social media in knowledge management [ 58 ], supply chain and logistics [ 59 ], presumption [ 58 ], business intelligence [ 60 ], health [ 61 ], and brand personality analysis [ 62 ]. To achieve the research objectives and research questions, this study adopted VOSviewer software to visualize the geographical distribution, authorship, citations, keywords, collaboration among countries specifically on COVID-19 food supply chain topics. The VOSviewer visualises bibliometric maps in different methods to present various features of literature structure. The VOSviewer employs an integrated approach to mapping and clustering that is constructed on the normalised term co-occurrence matrix and a similarity measure that determines the intensity of association between terms [ 51 , 63 ]. Based on citations and bibliographic coupling links, the VOSviewer creates clusters of authors' keywords, countries, and organizations. These clusters indicate the compactness of articles, keywords, countries, and organizations in specific research. In addition, Microsoft Excel 2013 software tools were used to analyze the primary data collected from Scopus (CSV format). Finally, R studio explores the evolutionary themes of COVID-19 food supply chain research topics pre, during and post-pandemic. Figure 2 portrays the different steps and analyses performed in this study. To address the research questions, the study is divided into two parts: descriptive analysis and network analysis.
![research paper on food supply figure 2](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig2_HTML.png)
Framework for bibliometric analysis
Descriptive analysis
This section explores the COVID-19 food supply chain research profile from 1995 to 2022, these include all current publication information, research trends, prolific authors, highly cited papers, publication sources, most productive institutions and countries, and the authors’ keywords as shown in Table 1 .
Yearly publication trend
The total publication, total citation, citation per article, and citation per year of the articles published between 1995 and 2022 were used to analyzed the yearly publication trends. Table 2 and Fig. 3 describe the yearly publication trend on the food supply chain pre, during and post COVID-19. In general, the number of publications on the COVID-19 food supply chain significantly increased from 217 articles in 2019 to 419 articles in 2021. The rate of development after 2020 was rather drastic and the number of publications increased to almost double that of the previous year. The growth of published articles indicates that the topic is beginning a stage of development. As a result, as of November 2022, 345 articles were published that have undertaken and explored new related topics attributed to the worldwide pandemic issues which simultaneously disrupted the supply chain.
![research paper on food supply figure 3](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig3_HTML.png)
The trend of publications per year of COVID-19 food supply chain
Most productive authors
The number of total publications, total citations, and h- index are analyzed to understand the most influential authors in COVID-19 food supply chain research domain. There are 5839 single authors devoting to food supply chain research from 1995 to 2022. Table 3 shows the twenty most prolific authors and found that Van Der Vorst, J.G.A.J has received the highest number of publications at 26 publications, 1945 total citations and h - index of 18 in this domain. Results revealed that Kumar, A. and Li, D are among the most prominent authors in the COVID-19 food supply chain field.
Highly cited papers
Table 4 shows associated information (authors, article title, total citations, and citations per year) of the top 20 most productive journals. The paper titled “Food waste within food supply chains: Quantification and potential for change to 2050” had 1699 total citations and 141.58 citations per year, followed by “Understanding alternative food networks: Exploring the role of short food supply chains in rural development” with a total citation of 1033 and 54.37 citations per year, and “An agri-food supply chain traceability system for China based on RFID & blockchain technology” had a total citation of 751 and 125.17 citations per year, respectively. In addition, the core journals in COVID-19 food supply chain studies are multidisciplinary, referring to traceability, corporate social responsibilities, modelling approach, sustainability, bioavailability and human health, blockchain technology, fresh food quality etc.
Most productive source titles
There are 2523 articles published in different journals . Table 5 shows the top twenty source titles that published ten or more documents from 1995 to 2022. Sustainability (Switzerland), Journal of Cleaner Production and British Food Journal are the top three publishers with a total publication of 102, 67, and 52 on the COVID -19 food supply chain and total citations of 1571, 2669 and 1394, respectively.
Most productive countries
According to the Scopus database, COVID-19 food supply chain documents were extracted from 127 countries. Table 6 shows the top thirty most prolific countries with at least 25 papers published. Among the highest thirty countries, the United Kingdom is the most productive country with a leading publication of 400 articles, accounting for 15.85% followed by China with 327 articles (12.96%) ranked the second position, United States ranks third with 272 articles (10.78%), Italy ranks fourth with 234 articles (9.27%) and India ranks fifth with 230 articles (9.12%), respectively. As indicated, these productive countries have a greater concern about COVID-19 food supply chain research pre, during and post-pandemic than other countries.
Most prolific institutions
Table 7 lists the top ten most prolific institutions for the 327 articles studied accounting for 12.95% of total documents relating to COVID–19 food supply chain research. Wageningen University & amp; Research, Alma Mater Studiorum Università di Bologna and Cranfield University are the core contributor to this research domain. These institutes have published 183 articles, which interprets for 7.27% of the entire publications. The results indicate that the productive documents are extremely intense among a few institutes only.
Top frequent authors’ keywords
Table 8 presents the top frequently used authors' keywords in the food supply chain before the COVID-19 pandemic. There are 34 occurrences of the food supply chain put in the first place, followed by 24 and 10 occurrences in supply chain and supply chain management, respectively.
In bibliometric analysis, a word cloud of author's keywords is a visual representation of the most commonly used words in an article's list of keywords to identify the most common themes in an author's work. The size of each word in the cloud represents its frequency in the list of keywords [ 84 ]. Figure 4 shows the word cloud map of the top author’s keywords before the COVID-19 pandemic. In the map, cloud-found food supply chain, supply chain, supply chain management, food industry, food safety, and traceability are the always core analyse research topics. Based on this analysis, it was found that a relationship was established linking food safety, agri-food supply chain and sustainability. This proves the importance of research in linking these three keywords and their impact on the COVID-19 food supply chain are interconnected.
![research paper on food supply figure 4](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig4_HTML.png)
Word cloud of top author’s keywords (BEFORE COVID-19)
In addition, this study used Multiple Correspondence Analysis (MCA) with the R package bibliometrix to investigate the author's keywords. The MCA is a data analysis method that could be applied to the graphical analysis of categorical data [ 38 ]. This study chose MCA because this analysis can identify the underlying themes established on the author’s keywords. Using the MCA method, related keywords are grouped, providing a hierarchical display of how frequently used terms are typically employed [ 83 ]. If two separate terms (like food and supply chain) appear in the same number of articles, then the two terms can be grouped [ 38 ].
Figure 5 maps the authors’ keywords conceptual structure associated with the “food” and “supply chain” publications domain before the COVID-19 pandemic. This map shows that the publications included in the analysis are categorized into two major groups which are red and blue. In each group, some words are connected. The red cluster shows more different words to which many research publications connect the words organized in this field. The conceptual structure is appeared in the keyword ‘co-occurrence’. For the red cluster, food is linked to food safety, organic food, short food supply, agri-food supply chain, and supply chain management. For the blue cluster, the supply chain is linked to food industry, sustainability, green supply chain management. Future research focuses on service oriented architecture and traceability, which follow the food supply chain stability to protect the disruption.
![research paper on food supply figure 5](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig5_HTML.png)
Conceptual structure map based on author’s keywords (BEFORE COVID-19)
Table 9 shows the most commonly used author’s keywords in food supply chain after COVID-19. Food supply chain appeared is in first place with 61 occurrences, followed by the supply chain, and sustainability with 44 and 31 occurrences, respectively. Following Fig. 6 , Table 9 indicates the top ranked keywords based on their co-occurrence.
![research paper on food supply figure 6](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig6_HTML.png)
Word cloud of author’s keywords (AFTER COVID-19)
Figure 6 shows the word cloud map of the author’s keywords after COVID-19 pandemic. Among the top word, cloud focused food supply chain, supply chain, blockchain, sustainability, short food supply chain, supply chain management, food industry, and agri-food supply chain are the core analyse research topics. Based on this analysis, it was found that a relationship has been established linking food safety, food security, food waste, traceability, and resilience. These top words are not expected and not to consider the searching string. However, these associations clearly indicated that there are severe influences on food supply chain as a whole after COVID-19 pandemic.
Figure 7 presents the author’s keywords conceptual structure involved with the food supply chain research domain after COVID-19 pandemic. The figure explores that the publications evolved in the analysis are clustered into two key groups, which directs the logical construct of food supply chain studies. For the red group, food is linked to food system, food loss and waste, short food supply chain, and food supply chain performance. For the blue group, supply chain is linked to total interpretative structuring modelling, digital technology and internet of things. Future research focuses on food supply chain study related to blockchain, traceability, resilience, innovation, sustainable development, consumer behaviour and crucial economy, which is the way of comprehensive understanding of food supply chain research trends.
![research paper on food supply figure 7](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig7_HTML.png)
Conceptual structure map based on author’s keywords (AFTER COVID-19)
Based on the analysis of word clouds and conceptual structure maps, it has been found that certain words may appear frequently in a word cloud of an author's keywords but not be represented in the author's conceptual structure of keywords. This is because a word cloud simply represents the frequency of occurrence of individual words or phrases, while an author's keywords conceptual structure focuses on the relationships between those words and phrases. For example, a word like "food industry” may appear frequently in an author's list of keywords and thus have a comparatively large size in the word cloud, but it may not be a central concept in the author's research, and therefore may not have a visible position in the author's keywords conceptual structure. On the other hand, a less frequently occurring word like "consumer behaviour” may have a more central position in the author's conceptual structure, even though it appears less frequently in the word cloud. Overall, both tools serve different purposes in bibliometric analysis and provide complementary insights into an author's research focus [ 50 ].
Bibliometric mapping analysis of COVID-19 food supply chain
A common application of bibliometric mapping analysis is to recognize particular research fields to gain an outline of the topology of the study area, its themes, topics, and terms, and how they connect closely [ 85 ]. Furthermore, to visualise the output of bibliometric mapping, a worldwide mapping analysis method is visualization of similarities (VOS) [ 46 , 51 , 83 ] has been adopted through a computer aided program called VOSviewer (Leiden University, Netherlands) [ 63 ]. The VOSviewer visualizes bibliometric maps in a range of methods in accordance with emphasising unique factors regarding the literature production. VOSviewer applied a combined method for both clustering and mapping or it is mainly created on the standardised term co-occurrence which estimates relationship strength between terms and is also an effective tool for conducting network analysis [ 86 ]. Furthermore, VOSviewer Version 1.6.2 [ 63 ] allows the construction of sceneries in which terms are coloured based on the year of their first presence in scientific publication. The size of the font and the enclosing rectangle indicates the popularity of a term; bigger rectangles and fonts indicate more productive terms. This study used VOSviewer to visualise co-authorship and collaboration networks and R studio to visualise co-occurrence of keywords and thematic evaluation of COVID-19 food supply chain topics.
Co-authorship analysis
Co-authorship network visualisation revealed knowledge domain maps of major authors groups in the COVID-19 food supply chain research. Figure 8 , each node shows an author, and the size of the nodes indicates the number of published articles. The link connecting two nodes represents the collaborative relationship between two authors, and the thickness of the link indicates the degree of association. Based on the knowledge domain maps of the co-authorship network, potential authors can deliver important information for a research institute to improve collaboration groups, for individual researchers to seek collaboration scopes and for the publisher to gather editorial teams to publish special issues in journals or books. It can be seen from Fig. 8 , the cooperation among prolific authors is intense. Co-authorship network formed several groups, such as the yellow group comprising Van Der Vorst (documents 26, links 26), followed by Kumar (documents 19, links 36) in the green group, and Liu (documents 16, links 16) in the yellow group as the core. Based on the results among the research groups, most productive authors mainly work independent or in collaboration inside the same organization, but the scale of such collaboration is small and not firm resulting to a lack of effective international exchange and cooperation.
![research paper on food supply figure 8](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig8_HTML.png)
Co-authorship network among productive authors
Countries collaboration network
This study established a collaboration network among countries through VOSviewer software in the research domain knowledge map in the field of COVID-19 on the food supply chain. A network visualisation map is presented in Fig. 9 . The co-authorship collaboration was established among 127 countries whereas articles were contributed from 67 countries (minimum threshold document 5). The thickness of the line indicates with each country can be determined by the frequency of co-authorship. This map indicates that a satisfactory collaboration network was established between the United Kingdom, China, United States, Italy, India, Netherlands, Germany, and France. More importantly, the United Kingdom collaboration developed with the European, Asian and North American countries and received the highest citations of 14712, links 301 and 400 documents. However, Singapore, Peru, Israil, Algeria, Romania, Lativia, Ukraine and Qatar have had less cooperation with other countries. In our opinion, there are two significances of the high proportion of articles in countries. First, it contributes to the delivery of more detailed study topics, and secondly, provides a window of opportunity for the collaboration of new countries; in other words, it enables the collaboration of other researchers and institutions in these fields.
![research paper on food supply figure 9](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig9_HTML.png)
Co-authorship collaboration network among countries
Keyword co-occurrence network
Keywords are the major content of publications, and the purpose of keyword analysis is to identify important research compositions in COVID-19 food supply chain. A co-occurrence network of author’s keywords was used to highlight research topics in the field. The method refers to the most commonly used keywords represented by the font size and larger circles [ 61 ]. The lines between the keywords reflect their correlation strength [ 20 , 61 ]. For a better understanding, the related keywords are commonly listed, as indicated by the same colour. Keywords without lines between them indicate that no connection has been developed. Considering that the closer to the centre of the network map terms appear, the more co-occurrence together. A closer connection indicates a stronger association.
To explore associated keywords to COVID-19 food supply chain research, the results in Fig. 10 indicate that two thematic clusters have been identified such as (i) food supply chain, and (ii) Supply chain and each cluster is denoted in a different colour. As shown in Fig. 10 , food supply chain covers the network centre, demonstrated by the greater cluster theme studied by previous scholars. The keyword ‘food supply chain’ is superposed on sustainability, food waste, COVID-19, circular economy, resilience, small and medium enterprise and food loose representing the closeness between them, further, COVID-19 impact on the food supply chain cannot be separated. Though in the second network of the supply chain, the linked keywords are supply chain management, blockchain, food industry, traceability, food safety, agri-food supply chain and short food supply chain. These highlight the COVID-19 pandemic impact and implies the rising attraction in this research field.
![research paper on food supply figure 10](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig10_HTML.png)
Author’s keywords co-occurrence analysis
This study used Biblioshiny software to analyse the author's keywords pre, during and post-COVID-19 food supply chain research to draw the evaluation of core research themes from 1995 to 2022. Figure 11 shows a Sankey diagram to analyse the journal's thematic evolution for the readers related to COVID-19 food supply chain. A Sankey diagram is used to demonstrate how various themes are related and have evolved in the past [ 54 ]. Each box on the map represents a theme, and the size of the boxes is relational to the frequency with which the theme occurs [ 87 ]. The flows connect each box, displaying the theme's evolution traces, and the thicker the connecting line, the stronger the link between the two themes. Overall, themes in COVID-19 supply chain are becoming more diverse over time, probably because more scholars from various fields are attracted to this theme. These indicated that the COVID-19 food supply chain gradually intersects with various fields such as e-government, traceability, information sharing, risk assessment, food waste, and blockchain. As shown in Fig. 11 , COVID-19 research in the food supply chain has evolved into six new themes from 1995 to 2019 and three themes from 2020 to 2022. Furthermore, it shows how the six themes exhibited with three themes before and after the COVID-19 pandemic.
![research paper on food supply figure 11](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig11_HTML.png)
Thematic evaluation based on authors’ keywords (Pre and Post COVID-19)
While Fig. 12 shows the thematic map before the COVID-19 pandemic mainly the upper-right quadrant reveals the motor theme which is high centrality and density because these themes are well developed and significant to the structure of a research field. The lower-right quadrant shows the basic themes. They are categorized by moderate centrality, which is resilience and the main focus in COVID-19 food supply chain research. This quadrant consists both transversal and general themes. The upper-left quadrant shows the niche themes which are strongly interconnected among themselves and have strong centrality to outside research. These concerns are extremely broader and significant. The theme related in the lower-left shows the growing or decreasing themes which are minimal and underdeveloped. The themes in this quadrant have a low density and centrality and they commonly reveal new theme.
![research paper on food supply figure 12](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig12_HTML.png)
The strategic thematic map of the author’s keywords (BEFORE COVID-19)
Figure 13 provides an overview and future trends of academic research on the food supply chain after the COVID-19 pandemic through the themes presented in the four quadrants. The motor themes have been developed extensively in both food supply and supply chain management. Food waste and catering services are well developed and isolated, and they occupy the basic theme. This is practically after COVID-19 pandemic, these themes gained importance for the food supply chain. Relatively emerging theme have currently been discussed comprehensively the subject of blockchain and food safety included in the third quadrant of cointegration has been on the boundary between basic and emerging themes, which is high centrality and density to the structure of a research field. Finally, the fourth quadrant is the food chain and food contamination themes are relatively wider and have a strong connection with the food supply chain. The most important rising topics in this period were the blockchain and food safety, which is on the border between basic and emerging or declining themes. Strongly interconnected niche theme is food contamination as a new problem in the food supply chain.
![research paper on food supply figure 13](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig13_HTML.png)
The strategic thematic map of the author’s keywords (Post COVID-19)
Discussion and future research direction
The descriptive analysis simplifies the present trend of research on the food supply chain by analysing pre, before and -post-COVID-19 data. It shows growing interest in COVID-19 on the food supply chain from the scientific community, which is an attractive issue in research, with a significant publication. Still, the COVID-19 pandemic led to high incidents in the food supply chain and the investigation and development strategies might be the result of this interest. It is proven that the current trend of COVID-19 impact is a major challenge to food supply chain analysis research and the pertaining term in the food supply chain has been encouraged in terms of COVID-19 impact reduction. By analysing the top keywords, many prospects for future study that have been disclosed by the COVID-19 pandemic. The COVID-19 has exposed supply chain vulnerability, confirming the importance of optimization and simulation. Implementing new technologies can improve efficiency, save costs, and increase customer satisfaction, allowing businesses to remain competitive. Similarly, Keywords on short food supply address these difficulties, there may be a shift towards shorter, more localized food supply chains can improve resilience and reduce the risk of disruptions caused by global crises or natural disasters. This approach may also provide potential synergy between sustainability practices and the need for more robust and sustainable food supply systems [ 88 , 89 ]. The use of blockchain technology can enhance traceability in supply chains, reducing the risk of food fraud and improving food safety. Blockchain can also support the adoption of sustainable and effective supply chain management strategies, particularly for short food supply chains. However, further research is necessary to develop new models for direct sales and blockchain-based systems that can validate the sustainability of food products. To minimize waste and increase efficiency, it is essential to integrate blockchain technology into food supply chains in a way that considers both economic and environmental impacts [ 91 ]. Finally, the Covid-19 outbreak has emphasized the significance of collaboration and innovation in the food industry. In the coming years, there may be a surge in investments in research and development, along with increased partnerships between industry players to discover new ways to address the issues affecting the food sector. Through these efforts, the industry can build a more resilient, sustainable, and secure food system for the future [ 92 ]. This also might lead to different directions for research, which include exploring new related topics and exploring less studied fields through a new framework. It might also be beneficial to provide new collaboration opportunities to widen the scope of the study.
Then, this study found the most productive countries, institutes and productive authors. The results explored that the United Kingdom is the most emerging country, but at the growing stages, China, the United States and Italy are also effective contributors in this field. The Wageningen University & amp; Research and Alma Mater Studiorum Università di Bologna have been the most productive institutes with one hundred twenty (120) and thirty-three (33) publications. Looking at the prolific authors, Van Der Vorst received the highest citation with 1945 citations. These countries and institutions have produced more in-depth and critical research in this area. The results of this analysis help governments, institutions, and authors work together, share knowledge of the COVID -19 food supply chain, and employing comprehensive strategies and efficient methods to address supply chain-related issues.
To develop an in-depth understanding of the results, this study used bibliometric mapping to provide a more comprehensive visualization of the results. The author’s keywords and co-occurrence (or co-word) analysis demonstrated that more research was focused on COVID-19 food supply chain and its impact on food security, food safety, traceability, food industry and sustainability which is closer to the circle. This finding addresses the issue of the COVID-19 food supply chain is linked to agriculture production and policy for food sustainability and its outcome is rational on the implication of food safety and food security to protect regular demand [ 87 , 88 ]. Another important issue suggests that creating more supply chain resilience may initiate a better initiative to managing and reducing challenges and risks faced pre and post COVID-19 pandemic [ 89 , 90 ]. Meanwhile, the co-authorship network shows that comparatively less collaboration occurs among authors on COVID-19 food supply chain research. This implies that the findings of Van Der Vorst and Kumar play an important role in the collaboration network. Although having a low level of relationship act as knowledge breakers among groups. The findings of the study also show that Li, D. Manning, L. and Accorsi, R have the same number of publications but few relational ties. This outcome could be influenced by limited collaborations within a closed group. Therefore, effective collaboration among scholars is required to widen the scope of COVID-19 food supply chain research.
By analysing thematic evaluation using the author’s keywords and compiling the results that postulate further direction that the research prolific topics of COVID-19 food supply chain are mainly connected to the food processing industry, traceability enterprise performance, information sharing and dissemination, decision making, risk assessment, food waste, food loose, and food traceability system. These eight primary directions are captured with each other in the evolutionary process. Research on the COVID-19 food supply chain still has significant potential for development because the integration, intensity, and reorganization of themes are more pronounced, showing that the articles are closely related and the degree of diversity is not high. This interdisciplinary research indicates that the COVID -19 food supply chain has an impact on food security and triggered disruption to respond to the current pandemic food security and caused disruption to food supply chain and suggests developing a framework for smooth resilience in the food supply chain system [ 33 ].
Furthermore, this study develops a basic structure for the most affected themes within the global food chain created by the post-COVID-19 pandemic. Generally, the global food chain combines production, processing, distribution, and consumption on a large scale [ 15 , 92 ]. The intensity of the impact may vary among sectors and goods at various stages of the supply chain for various products. There are four significant issues raised in the thematic analysis that the global food chain should address in the post-COVID-19 pandemic. The following diagram (Fig. 14 ) presents the basic structure of the global food chain that can help the food industry adapt to the post-pandemic situations caused by COVID-19.
![research paper on food supply figure 14](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40066-023-00425-5/MediaObjects/40066_2023_425_Fig14_HTML.png)
Proposed framework for building robust and resilience global food supply chain in the post-COVID-19 pandemic
Source: Author(s): Author own construction
Firstly, COVID-19 has highlighted the crucial importance of food safety in the global food chain. Ensuring safe food from farm to fork is now a top priority for governments, food manufacturers, and consumers worldwide. Therefore a robust food safety system (e.g., processing, distribution and preparation activities, consumption, and delivery) and a strong food safety culture would safeguard public health and prevent future pandemics [ 93 ]. Secondly, COVID-19 disruptions in transportation, distribution, and consumption have led to increased food waste, resulting in significant losses in food supply chains. These relevancy have encouraged the implementation of Industry 4.0 technologies and practices, aimed at addressing the widely recognized issue of food waste and loss. Specifically, advanced technologies such as Internet of Things (IoT) platforms, BIG Data, artificial intelligence, and information and communication technologies (ICTs) can be leveraged to obtain up-to-date information, enhance communication between suppliers and buyers, and rationalise the distribution of food supply chain [ 90 ]. Thirdly, the COVID-19 pandemic has disrupted the food supply chain, raising concerns about the need for increased transparency, efficiency, and safety in the food industry. Consequently, there is a growing interest in employing blockchain technology to resolve these issues. Blockchain provides a secure and transparent way to monitor food products from the farm to the table, thereby reducing food waste and ensuring food safety and quality. With its potential to improve supply chain management and food safety, blockchain is anticipated to play a crucial role in the post-COVID-19 pandemic food industry [ 94 ]. Fourthly, the COVID-19 pandemic has resulted in an increase in pressure on natural resources and a decline in biodiversity. The post-COVID-19 pandemic presents an opportunity to construct more resilient and sustainable food systems that promote both human welfare and biodiversity conservation. By creating a secure and transparent record of food production and distribution, stakeholders will be able to better comprehend the environmental impact of food systems and work towards more sustainable practices. In addition, the use of blockchain technology in the food supply chain can help conserve biodiversity by encouraging sustainable agricultural practises and reducing food waste [ 95 ].
The findings of the global food supply chain's main themes of the post-COVID-19 pandemic emphasise food safety, the reduction of food waste, and the conservation of biodiversity. Tracking food products throughout the supply chain, blockchain technology has emerged as an effective instrument for enhancing food safety, quality, and transparency. It is essential to manage the food supply chain sustainably in order to safeguard public health, the environment, and social and economic development [ 96 ].
Another important issue relevant to COVID-19 food supply chain is the gap of strategic intervention in the study. Specifically, the role of the government and country policies in controlling the disruption and ensuring an effective food supply chain that is raised on lean strategic principles is to be considered extensively. For example, only the country's national policy for the food sector to re-design and re-shape their food supply chains before and after the COVID-19 resilience strategy and how it helps to build a smooth food supply chain that is capable of managing the further pandemics. However, the previous study on bibliometric analysis focused on food supply chain safety [ 17 ], and agri-food value chain, this study establishes the novel analysis of the prior study on the COVID-19 food supply chain.
In this study, a total of 2523 papers were published in the field of the COVID-19 food supply chain, and the evolution of the current state of trend during and after the COVID-19 pandemic was scientifically mapped. The COVID-19 food supply chain bibliometric mapping trend was conducted using Vosviewer software and thematic evolution trend analysis using R software to measure the most rising subjects topic. In bibliometric analysis, this study explored key information such as yearly publication trends, article sources and document contents, prolific authors, highly cited papers, most productive institutions, most productive countries, most productive source titles, top authors keyword, co-occurrence, co-authorship network, and country collaboration network. Next, this study highlighted the thematic evaluation, and thematic maps provide an opportunity in specific areas related to the COVID-19 food supply chain pre, during and post-pandemic, thus building subject knowledge importance and how its various aspects have been used before and post COVID-19 pandemic. Thus, this contribution to more empirical policy-related research is encouraged to robust the food supply chain and reduce the impact of the COVID-19 pandemic connected to food safety, agriculture production, resilience solution, mitigate supply chain disruptions, and improve sustainability as shown in Figs. 12 and 13 . Another important contribution, this study revealed specific research gaps in the present literature and proposes a scope for the specific research areas to fill these gaps. Finally, a co-occurrence analysis with the author’s keywords is conducted to stipulate the trend of research pre, before and post-COVID-19 pandemic.
One of the limitations of this study is considering Scopus online database which is the main source for bibliometric analysis. In this case, the selection of data sources may limit the search strategy. Future studies are encouraged for considering other sectors to know how the food supply chain of those sectors is impacted by the COVID-19 pandemic by linking articles from other data sources such as the Google Scholar and Web of Science.
As the pandemic has a massive impact on the world's food supply chain, the study is expected to provide new insight by evolving all the related documents published in this field with a systematic review method. Scholars and policymakers can use this research to know current developments in the food supply chain, and adopt various resilience strategies as discussed to mitigate the impact. However, the pandemic has a severe impact on the global food supply chain. The study is expected to provide more insights by compiling all relevant literature published in this domain using bibliometric analysis. Therefore, this study will be helpful for scholars and policymakers to understand what is happening in the food supply chain pre, during and post pandemic, and policymakers may apply different development strategies as explored to reduce the COVID-19 pandemic impact.
Availability of data and materials
All data presented in this manuscript are available on Scopus database using the search query highlighted in the “Methodology” section. Raw data are attached to the manuscript.
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The authors sincerely thank Universiti Utara Malaysia (UUM) for allowing us to access the most recent information from Scopus data sources.
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MAK; started the idea: developed the methodology: data extraction: data analysis: visualization and data interpretation: manuscript written: editing and submitted: NZ; AMS; SAS; and MRR; Guided and provided insightful thought to improve the manuscript. AA; reviewed and provided intellectual support in the writing of this manuscript. All authors read and approved the final manuscript.
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Additional file 1: table s1..
Overview of the bibliographic information’s for the food supply chain domain recovered from Scopus database. Table S2. Trends in yearly publications. Table S3. Most productive authors that published 10 and more publications in the food supply chain. Table S4. Top twenty highly cited documents published in the COVID-19 food supply chain domain. Table S5. Most productive source title. Table S6. Most productive countries published twenty-five and more documents. Table S7. Top ten most prolific institutions. Table S8. Top frequent author’s keywords (BEFORE COVID-19). Table S9. Top author’s keywords (AFTER COVID-19). Figure S1. Flow diagram of article searching strategy of food supply chain documents. Figure S2. Framework for bibliometric analysis. Figure S3. The trend of publications per year of COVID - 19 food supply chain. Figure S4. Word cloud of top author’s keywords (BEFORE COVID-19). Figure S5. Conceptual structure map based on author’s keywords (BEFORE COVID-19). Figure S6. Word cloud of author’s keywords (AFTER COVID-19). Figure S7. Conceptual structure map based on author’s keywords (AFTER COVID-19). Figure S8. Co-authorship network among productive authors. Figure S9. Co-authorship collaboration network among countries. Figure S10. Author’s keywords co-occurrence analysis. Figure S11. Thematic evaluation based on authors’ keywords (Pre and Post COVID-19). Figure S12. The strategic thematic map of the author’s keywords (BEFORE COVID-19). Figure S13. The strategic thematic map of the author’s keywords (Post COVID-19). Figure S14. Proposed framework for building robust and resilience global food supply chain in the post-COVID-19 pandemic.
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Kafi, A., Zainuddin, N., Saifudin, A. et al. Meta-analysis of food supply chain: pre, during and post COVID-19 pandemic. Agric & Food Secur 12 , 27 (2023). https://doi.org/10.1186/s40066-023-00425-5
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Review of the sustainability of food systems and transition using the Internet of Food
- Nicholas M. Holden 1 ,
- Eoin P. White 2 ,
- Matthew. C. Lange ORCID: orcid.org/0000-0002-6148-7962 3 &
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Many current food systems are unsustainable because they cause significant resource depletion and unacceptable environmental impacts. This problem is so severe, it can be argued that the food eaten today is equivalent to a fossil resource. The transition to sustainable food systems will require many changes but of particular importance will be the harnessing of internet technology, in the form of an ‘Internet of Food’, which offers the chance to use global resources more efficiently, to stimulate rural livelihoods, to develop systems for resilience and to facilitate responsible governance by means of computation, communication, education and trade without limits of knowledge and access. A brief analysis of the evidence of resource depletion and environmental impact associated with food production and an outline of the limitations of tools like life cycle assessment, which are used to quantify the impact of food products, indicates that the ability to combine data across the whole system from farm to human will be required in order to design sustainable food systems. Developing an Internet of Food, as a precompetitive platform on which business models can be built, much like the internet as we currently know it, will require agreed vocabularies and ontologies to be able to reason and compute across the vast amounts of data that are becoming available. The ability to compute over large amounts of data will change the way the food system is analysed and understood and will permit a transition to sustainable food systems.
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The state of food systems worldwide in the countdown to 2030
Introduction.
The food we eat today is unsustainable for two reasons: the food system causes unacceptable environmental impacts and it is depleting non-renewable resources. Our food can be regarded as ‘fossil food’ because its production relies on fossil fuel, non-renewable mineral resources, depletion of groundwater reserves and excessive soil loss. The idea of sustainable food systems is at the heart of global efforts to manage and regulate human food supply. 1 The sustainable development goals focus on a number of critical global issues, but Goal 2 (‘end hunger, achieve food security and improved nutrition and promote sustainable agriculture’), Goal 12 (‘ensure sustainable consumption and production patterns’) and Goal 13 (‘take urgent action to combat climate change and its impacts’) are intimately related to the need to transition global food systems from fossil to sustainable. To understand how to meet the challenge presented by these goals, it is necessary to consider what is meant by ‘sustainable’ in the context of a food system. In 1989, the Food and Agriculture Organisation (FAO) council defined sustainable development as ‘the management and conservation of the natural resource base, and the orientation of technological and institutional change in such a manner as to ensure the attainment and continued satisfaction of human needs for present and future generations. Such sustainable development (in the agriculture, forestry and fisheries sectors) conserves land, water, plant and animal genetic resources, is environmentally non-degrading, technically appropriate, economically viable and socially acceptable’. 2 The important ideas in this definition are working within the planetary boundary (‘the natural resource base’), having a future-proof system (‘continued satisfaction’, ‘present and future generations’), limiting impacts to those manageable by the buffering capacity of the planet (‘environmentally non-degrading’), considering the financial needs of business stakeholders (‘economically viable’) and compatible with local needs and customs (‘socially acceptable’).
Five principles have been identified to support a common vision for sustainable agriculture and food. 3 These are: (1) resource efficiency; (2) action to conserve, protect and enhance natural resources; (3) rural livelihood protection and social well-being; (4) enhanced resilience of people, communities and ecosystems; and (5) responsible governance. The aim of this paper is to outline the case for why food systems are not sustainable and to define the case for using technology, specifically internet technologies (hardware and software combined to make the ‘Internet of Food’) to enable the transition of the food system from fossil to sustainable. Increasing population, increasing consumption, a billion malnourished people and agriculture that is concurrently degrading land, water, biodiversity and climate on a global scale 4 combine to indicate that the fossil food systems we currently rely on are not fit-for-purpose. It is suggested that halting agricultural expansion, closing yield gaps, increasing efficiency, changing diets and reducing waste could lead to a doubling of food production with reduced environmental impacts of agriculture. 4 To achieve these changes, it is going to be necessary to harness internet technology, in the form of an ‘Internet of Food’, which offers the chance to use global resources more efficiently, to stimulate rural livelihoods, to develop systems for resilience and to facilitate responsible governance by means of computation, communication, education and trade without limits of knowledge and access.
The concept of ‘Internet of Food’ first appeared in peer-reviewed literature in 2011 (based on a search of scopus.com using ‘Internet of Food’ as the search term). It was described by the idea of food items having an ‘IP identify’, which raised the question of how this might influence our eating habits. 5 Their focus was very much on how the technology could influence food choices and predicted that by 2020 it would be possible to monitor and control food objects remotely through the Internet. It is this technological control of the food system that has real potential to help societal stakeholders (consumers, retailers, processors, producers, shareholders, landowners, indigenous peoples and so on) to engage in the transition of our food system from being fossil to sustainable. The ubiquitous physical tagging and sensing of mass and energy flow in the food system linked to a formal semantic web will allow computation over the whole system to answer questions such as: What was the resource depletion of this product? What is the social impact of eating this product? What food safety procedures have been employed for this product? What and where has wealth been created by the value chain of this product? When these questions can be answered for specific instances of food product types and predicted for new products, then it will be possible to determine whether a specific food system is sustainable or not. The stakeholders demanding answers to these questions are likely to be governance and policy makers and consumers. When these questions can be answered, it will be possible to plan how to manage the evolution of the fundamental life support system (food) from fossil to sustainable in order to support a growing global population.
Current food systems
To understand the need for a systematic transformation of the food system, it is necessary to detail exactly why it is unsustainable. An overwhelming case can be made for the environmental dimension of the system, but there are also social and economic issues as well. This paper will focus the environmental case (resource depletion and adverse environmental impact that relate to the ‘continued satisfaction’ and ‘environmentally non-degrading’ criteria for sustainable food systems), but similar cases can be made for important social and economic issues as well.
Resource depletion
The resource depletion case can be made with respect to energy, nutrients, water, soil and land. Each will be summarised in turn. To date, the agri-food system has converted non-renewable fossil fuel energy into food by enabling mechanisation, amplified fertiliser production, improved food processing and safe global transportation. 6 According to FAO, 7 the agri-food sector accounts for around 30% of the world’s total energy consumption, with Europe alone accounting for 17% of gross energy consumption in 2013. 8 Agriculture, including crop cultivation and animal rearing, is the most energy-intense phase of the food system, accounting for nearly one third of the total energy consumed in the food production chain. 9 To date, renewable energy has had limited penetration of the agri-food sector with fossil fuels accounting for almost 79% of the energy consumed by the food sector. 8 From an energy perspective, the food system can be regarded as unsustainable (cannot meet the ‘continued satisfaction’ requirement) due to its reliance on fossil energy sources.
By the end of the 20th Century, it was estimated that US-produced ammonia represented 32% of fertiliser nitrogen (N) demand, which was produced by extracting N from the atmosphere as ammonia by a process using hydrogen from natural gas (fossil fuel). 9 The vast majority of N fertilisers consumed today are still created using fossil fuels and cannot be regarded as sustainable until such times as new technological approaches emerge, which are currently in their infancy. 10 , 11 A review of mineral fertiliser reserves concluded that potash reserves (the source of most potassium (K) fertilisers) are of great concern and that it is time to start evaluating other sources of K for agriculture 12 but others concluded that ‘modern agriculture is currently relying on a non-renewable resource and future phosphate rock is likely to yield lower quality P at a higher price’. 13 If significant physical and institutional changes are not made to the way we currently use and source P, agricultural yields will be severely compromised in the future. Estimates for when world peak P will be reached range from 2027 14 to 2033. 13 Variations in estimations of when peak P will occur are due the constant changing of reserve levels. 12 The ‘power imbalance’ where just three countries controlling >85% of the known global phosphorus reserves, 15 a concentration of power far greater than that of crude oil, is also of concern, and it has been concluded that the combined impact increasing demand, dwindling reserves and geopolitical constraints could result in reduced production and supply of chemical P fertilisers and increased global P price. 16 It is clear that over time horizons of around 50 years the agri-food system is going to face a major nutrient crisis unless reliance of fossil mineral resources is significantly reduced and ultimately eliminated. From a nutrient management point-of-view, the food system can be regarded as unsustainable (cannot meet the ‘continued satisfaction’ requirement) due to its reliance on fossil mineral resources.
Modern food production is reliant on irrigation to a great extent, which according to the UN water programme, accounts for 70% of freshwater withdrawals worldwide. 17 Excessive removal of groundwater for irrigation is leading to rapid depletion of aquifers in key food-producing regions, such as North-Western India, the North China Plain, Central USA and California. 18 Aquifers replenish so slowly that they are effectively a non-renewable resource. The depletion of these large freshwater stocks threatens food production and security locally and globally via international food trade. Non-sustainable groundwater abstraction contributed to 20% of global gross irrigation water demand in the year 2000 with this demand having tripled over the period 1960–2000. 19 For many countries, irrigation is sustained by non-renewable groundwater, and it has been highlighted that ‘a vast majority of the world’s population lives in countries sourcing nearly all their staple crop imports from partners who deplete groundwater to produce these crops’. 18 Countries who both produce and import food irrigated from rapidly depleting aquifers are particularly at risk, such as USA, Mexico, Iran and China. It has been estimated that India, soon to be the most populous country in the world, will be unable to meet water requirements within 300 years and emerging pressures may reduce this time horizon considerably. 20 Given the interaction of water supply with energy, this situation may become even worse. For example, in California, 20% of electricity production is used for moving and pumping water for agriculture, 21 and as water becomes more difficult to access, the energy demand will increase. From a water management point-of-view, the food system can be regarded as unsustainable (cannot meet the ‘continued satisfaction’ requirement) due to its reliance on non-renewable water resources.
Over 20 years ago, it was estimated that around one third of the world’s agricultural land had been lost to erosion and the rate of loss was about 10 Mha/year 22 Calculations suggest that soil erosion rates under ploughed cultivation are one to two orders of magnitude greater than soil production rates. 23 This rate of soil loss is not compatible with the ‘continued satisfaction’ requirement for a sustainable food system. It is also linked with other environmental impacts, such as loss of carbon, gaseous emissions, non-point source pollution and sedimentation of waterways, 24 therefore it is not compatible with the ‘environmentally non-degrading’ criteria as well. Given projections for expansion of dryland areas to around 50% of total land surface, with 78% of dryland expansion in areas supporting 50% of population growth in the coming decades, 25 the control of soil erosion and its related impacts is going to be a major requirement for sustainable food systems. From a soil management perspective, the food system can be regarded as unsustainable (cannot meet the ‘continued satisfaction’ requirement).
Having considered the energy, nutrient, water, soil and land requirements for food production, it must be concluded that the food system is unsustainable and needs to change because the natural resource base, future satisfaction and environmentally non-degrading requirements cannot be met. It is reasonable to describe food as ‘fossil food’ because of the reliance of non-renewable (and rapidly depleting) resources to supply much of the world’s population. A complete transformation of the food system is required, one that can perhaps be best driven by harnessing appropriate technology to monitor, control and regulate the different types of food system by unleashing the potential benefits of being able to compute over the vast amounts of data that can be obtained from the activities along the food value chain.
Modern industrial agriculture was made possible through land clearing and habitat disruption. Some recognised consequences of this were fragmentation and loss of biodiversity, significant greenhouse gas (GHG) emissions from land clearing and adverse impact on marine and freshwater ecosystems. 26 An estimate suggests that the global food system, from fertiliser manufacture to food storage and packaging, is responsible for up to one third of all human-caused GHG emissions. 27 Using data from 2005, 2007 and 2008, agricultural production is also estimated to be responsible for a significant share of GHG emissions from the food system, releasing ~12,000 Mt CO 2 e/year representing about 86% of all food-related anthropogenic GHG emissions, followed by fertiliser manufacture at ~575 Mt CO 2 e/year and refrigeration at ~490 Mt CO 2 e/year. 28 The impacts of such emissions are already being felt 29 including negative feedbacks on crop yield and health. Reducing this impact will be critical to transitioning from unsustainable fossil food to a sustainable future-proof food system. 28 , 30
The eutrophication of surface waters has become an endemic global problem. 31 From the 1950s to the 1990s, agriculture was associated with a 6.87-fold increase in nitrogen fertilisation, a 3.48-fold increase in phosphorus fertilisation, a 1.68-fold increase in the amount of irrigated cropland and a 1.1-fold increase in land in cultivation. 26 Agricultural production has been identified as a major underlying and persistent cause of eutrophication in many catchments around the world 32 , 33 Nutrient loadings from agriculture are a major driver of water quality deterioration, but it is unclear what level of on-farm control is necessary to achieve water quality improvements. 31 Smart agriculture and precision farming will drive improvement by increasing resource use efficiency and by harnessing technology to determine current conditions, future weather conditions and the correct intervention. 34 , 35
Similar cases can be made for acidification, 36 biodiversity, 37 ecosystem toxicity 38 and other environmental impacts. 39 Taking just the limited number of examples presented above, it is clear that the ‘environmentally non-degrading’ requirement for a sustainable food system is not being met by current food supply systems and a radical change is needed. From an environmental perspective (resource depletion and adverse impact), it can be concluded that food systems are not sustainable (in general), and if we work from a strong sustainability perspective of working within planetary boundaries, 40 they cannot become sustainable until this adverse situation is rectified.
Life cycle thinking methods and the need for an Internet of Food
Life cycle thinking is increasingly being used to assess food system sustainability. 41 It is an approach used to assess products, processes or services in terms of their place in the world, the full life cycle that is required for them to serve human society and environmental, social and economic consequences of that service. The method has been recognised as the leading approach for including sustainability in decision-making in the United States of America, 42 Europe 43 and elsewhere in the world. The quantitative tool used to implement life cycle thinking is life cycle assessment (LCA), which is formalised by international standard (ISO 14040/14044) 44 and has been widely used to assess food production systems. 45 LCA is one of the most important methodologies used to assess the impact (pollution and resource depletion) of the food system by using mass and energy flow accounting to model the system and agreed scientific models to calculate resource depletion and specific types of environmental impacts.
It has been suggested that LCA can lead to practitioners focus on the ‘eco-efficiency’ of inherently unsustainable products, and this can lead to increased consumption, because of the LCA paradigm of reducing negatives rather than increasing positives 46 The cradle-to-cradle (C2C) concept tends to focus more on linking resource consumption and waste creation with sustainability status rather than minimisation of specific impacts. One conclusion is that the best attributes of both approaches should be harnessed. 46 All such methods (e.g. LCA, C2C) depend on being able to collect sufficient data to characterise a system of interest or the use of publicly funded or commercial databases when site-specific data are not available. It was noted that ‘the practicality of adopting LCA to support decision-making can be limited by the generic nature of the assessment and the resource-intensive nature of data collection and life cycle inventory modelling’, 47 which is the key limitation for developing tools to facilitate the transition from fossil to sustainable food. The need to share data between stakeholders in increasingly important for the creation of useful information about the food system.
A number of issues associated with using LCA to better understand and manage food systems have been noted, 41 including (i) the variability of food production, supply chain and consumption globally; (ii) uncertainty related to the specification of data 48 and the system; 49 (iii) identifying the boundary between technosphere and ecosphere because agriculture relies on exploiting the ecosphere; 50 (iv) correctly identifying the real function 51 of the food system in order to select the most useful functional unit; (v) the multi-functionality of the system; (vi) capturing or modelling inventory data (which requires cooperation between stakeholders for food system applications); (vii) the geo-temporal specificity of background data from LCA databases; (viii) capturing the role of different stakeholders (e.g. consumers, government, industry); (ix) the role of diet choices and (x) handling ‘waste’. These issues are seen in the lack of comparability of LCA studies of the same type of product. 52 Furthermore, the scope of LCA as a global tool to quantify environmental impacts over the whole life cycle creates limitations. 53 LCA by its nature, focusses on the global scale and on steady-state, linear homogenous modelling, making it ‘very difficult to include varying spatial and temporal characteristics and nonlinear characteristics of large numbers of processes that occur all over the world’. 53 There are inherent limitations of inventory because of loss of spatial, temporal, dose–response and threshold information, which reduced the accuracy of impact assessments. 54 The ‘Internet of Food’ would transform our understanding of the food system and how they are modelled using LCA, provided data sharing is possible. Of the issues affecting food LCA, 41 most could be directly addressed by the ability to collect data and compute across the whole food chain: variability, uncertainty, multi-functionality, inventory data, databases, stakeholder influence, diet and waste, and the other two, boundary and function, could probably be better understood based on discernible activity. The examples of data mining of U.S. Environmental Protection Agency (EPA) data sets, 47 potential for avoiding excessive simplification 55 and use of big data in industrial ecology 56 indicate that this is the way forward.
Internet of Food: an enabling technology for the transition from fossil to sustainable
The deployment of sensor networks in the food system have historically been stage-specific and typically designed for monitoring and decision-making at a specific site and time, despite the potential for system integration having been recognised more than a decade ago. 57 Many sensors have been developed that could be used for the food chain, for example, for soil monitoring, for precision agriculture purposes, 58 for post-harvest storage monitoring, 59 for process control, 60 for retail logistics monitoring 61 and in some cases for domestic use. 62 A key requirement to create an ‘Internet of Food’ will be to make the data from these sensors interoperable and to be able to compute across the data set they create. A notable limitation is lack of integration caused by the current mix of open and closed data, communications, hardware standards and a lack of willingness to share data between stakeholders. It has been noted that an ‘…ontology-driven architecture for developing hybrid systems [that] consists of various entities including software components, hardware components (sensors, actuators and controllers), datastores (knowledge base, raw data, metadata), biological elements (plants[or animals]) and environmental context…’ 63 would permit the development of precision agriculture applications, and by logical extension this is required to utilise information across the whole food system (i.e. the Internet of Food). The proposal here is that the ‘hybrid-system’ needs to be extended to cover the whole food system, thus permitting production, process, logistics, retail, purchasing, consumption, nutrition and health outcomes to be integrated through information and computation. Where it is not possible to integrate data of the whole system that delivers a product, it will be very difficult to use Internet of Food for best advantage because its strength is determined by the data available.
A critical requirement will be the development of related ontologies. An ontology is the formal naming of concepts (e.g. types, properties, inter-relationships) within a domain and it is used to describe or infer properties of that domain. In order to be able to draw upon a range of data sources (sensors) and databases (knowledge silos), it is necessary to label data with unique identifiers that permit computers to reason with or compute over those data sets. This is where the real value of Internet of Things, and more specifically Internet of Food lies. To achieve the paradigm shift from fossil food to sustainable food systems, such a shift is needed, facilitated by the ability to reason with such data. As noted, 63 an ontology-driven architecture is needed to enable the ‘Internet of Food’. Ecologists have recognised the importance of big data in ecological research 64 in order to address major scientific and societal issues, and to answer the major question facing food (how to achieve a sustainable food system?), an agreed vocabulary and language structure (ontology) is needed. To take simple examples, the word ‘buttermilk’ originally referred to liquid left after churning butter is now also used to describe a fermented or cultured milk drink, so until the language describing these two concepts is standardised it is not possible to compute from diverse data sets within the domain of dairy processing, never mind across domains, where words such as slurry, matrix and texture all mean very different things depending on context. A noted rapid growth of Internet of Things requires standardisation to lower the entry barriers for the new services, to improve interoperability of systems and to allow better services performance. 65 They noted that this is particularly important for security, communication and identification where interoperability, and particularly semantic interoperability, will be critical. It has been recognised that a proliferation of ad hoc coded data systems will be an impediment to developing data-centric systems that can transform farming, 66 so sharing of data, agreement of standards and stakeholder cooperation will be required to achieve food systems transformation.
Food ontologies can be used with the specific aim of identifying gaps and for purposes beyond the initial, relatively simple applications, such as recognising foods, 67 with a contextual focus on diet, food selection, health and wellbeing being possible, 68 which is a critical component of a sustainable food system, and just as important are the social, economic and environmental impacts and benefits. There are untold opportunities to develop specific services targeted in these areas as well as the potential for integration, with tools such as life cycle sustainability assessment to evaluate the true sustainability of specific food products, meal combinations, whole diets and food systems. These ideas have been evaluated in the context of mining U.S. EPA data for assessing chemical manufacturing, 47 which identified that automating data access was a challenge because the data are incompatible with semantic queries. Data need to be described using ontologies to relate those data that need to be linked and to introduce LCA concepts to the descriptions. A framework for integrating ‘big data’ with LCA has been suggested 69 and it was also noted that development of semantic web standards for ecological data have greatly enhanced interoperability in that domain. 70 The same is required for the food system. It has been suggested that when food (and water) domain descriptors have been developed, this will enable ‘IT support [for] improved production, distribution and sales of foodstuffs [and water]’, 71 but the development of the domain models for the food chain is perhaps not a task for commerce or industry, rather for public, international research.
The opportunities that will be created by the Internet of Food are immense. One important shift will be from a descriptive, inferential approach to analysing food systems to a ‘big data’ approach. 68 ‘Big data’ can be characterised in terms of volume (data sets too large for conventional database management), velocity (acquiring, understanding and interpreting data in real time) and variety (the vast array of sources and types of data beyond the conventional rows and columns of numbers describing transactions). 72 Examples have already emerged where ‘big data’ has been used to provide data useful for LCA including agricultural resource survey 73 and resource use and emissions associated with U.S. electric power generation. 74 It is worth pointing out that much of the data relied on for LCA studies is drawn from commonly used databases (e.g. EcoInvent, ELCD, NREL) and are reliant on ‘small data’ and limited observations, which has resulted in reported error (multiple orders of magnitude), 47 while ‘big data’ offers a means to answering questions about environmental impact or food safety that simply cannot be contemplated in the context of controlled experiments. 71
Authors have considered ‘big data’ and ‘internet of things’ in the context of specific parts of the food chain. For example, ‘big data’ in ‘smart farming’ (i.e. the production stage of the food system) is now being used to make predictive insights about farm operations, to support operational decisions, to redesign business processes and to change business models. 75 To leverage this value at the farm level required extension along the food chain beyond the farm, but two scenarios are emerging: closed proprietary systems and open collaborative systems, 74 such as Food Industry Intelligence Network, 76 Food Innovation Network 77 and European Institute of Innovation & Technology (EIT) Food. 78 Priority should be given to development of data and applications infrastructure and at the same time to organisational issues concerning governance and business models for data sharing. 74 In the context of circular economy (i.e. the end of life, non-consumed part of the food system), it was found that, despite the concept of circular economy being discussed for decades, it has not become an adopted business model. 79 An analysis of literature from 2006 to 2015 found only 70 publications at the intersection of circular economy and ‘big data’/‘internet of things’, but nearly half (34) had been published in 2015. 75 It was suggested that technology encompassed by ‘big data’ and ‘internet of things’ is what is needed to enable such change, 75 which is the same argument being put forward here for the Internet of Food in the context of sustainable food systems. Two implications of relevance for the Internet of Food are: there is a gap between scientific research and corporate initiatives, which needs to be closed, and the search of literature was limited by the keywords available, and more specifically the lack of structured taxonomy to describe the circular economy. It is reasonable to conclude that if these ideas are relevant to one small component of the Internet of Food, then they are probably relevant to the concept as a whole.
These two recent reviews highlight the importance of developing the Internet of Food as a precompetitive platform on which business models can be built, much like the internet as we currently know it, and to achieve this we need to define agreed vocabularies and ontologies to be able to reason and compute across the vast amounts of data that are and will be available in the future. The ability to compute over large amounts of data will change the way the food system is analysed and understood. Biological scientists have noted how important data curation is, because as curated data become available the way science is conducted changes. 80 A key requirement of data curation is the connection of data from different sources in a human- and machine-comprehensible way. Another key change is the processing of multiple sources of complex data (‘big data’) using inference programs. While this might lead to new ways of conducting experimental (hypothesis driven) research, it is also unlocking the door to data-driven research, i.e. extracting new knowledge and understanding from data without experimentation or preconceived ideas, and providing new management approaches based on information and better decision-making capabilities. 71
The Internet of Food offers substantial opportunities for understanding the limits and constraints to sustainable food systems and thus supporting decisions about the transition from fossil to sustainable food. It is essential that all stakeholders engage with the development of Internet of Food to ensure harmonious development of a technology that can be used for both pre-competitive applications and commercial exploitation, if it is to be fully developed over the coming 5–10 years. In addition to the technical issues highlighted here, there are considerations of data ownership, privacy, ethical use of data, market control and other application domains (e.g. food safety, traceability, personal nutrition, security, fraud and policy) that need to be developed with stakeholder contributions alongside the technical advances considered here.
Conclusions
In order to transition to a sustainable food system, we need specific technology infrastructure to allow high-quality data to be collected about the food system that will permit the best possible decision-making. Key requirements are: standard vocabularies and ontologies to allow integration of data sets across the internet; proliferation of low cost sensing to allow orders of magnitude change in the supply of empirical observation data into LCA models; and new analytical methods to collate, curate, analyse and utilise data across the whole food production system. We need an Internet of Food to monitor conditions and analyse data to derive knowledge that can be combined with the means to implement control of the system to enable a step change in how we think about food systems. This technology will give us the chance to transition from fossil food to sustainable food systems.
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Acknowledgements
The authors would like to acknowledge the support and funding from the UCD Institute of Food and Health, UC Davis, Food for Health Institute and the IC3-Foods Conference.
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The ideas and initial draft for this paper were drawn together by N.M.H. and consolidated at the inaugural IC3-Foods Conference in UC Davis, November 2016, following extensive discussion with M.C.L. T.L.O. and E.P.W. contributed to background research and additional draft text. M.C.L. refined the technology discussion.
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Holden, N.M., White, E.P., Lange, M.C. et al. Review of the sustainability of food systems and transition using the Internet of Food. npj Sci Food 2 , 18 (2018). https://doi.org/10.1038/s41538-018-0027-3
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DOI : https://doi.org/10.1038/s41538-018-0027-3
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Sustainable Supply Chain Management in the Food Industry: A Conceptual Model from a Literature Review and a Case Study
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The new data that were created and analyzed in this study are the ones presented in the article. Interview or field notes data sharing is not applicable to this article.
The purpose of this study is twofold: firstly, to provide a literature review of sustainable supply chain management (SSCM) critical factors, practices and performance; and secondly, to develop a comprehensive and testable model of SSCM in the food industry. The research conducted comprises a literature review and a case study. The literature review findings propose a theoretical framework linking SSCM critical factors, practices and performance. The case study comprises two sustainability leaders in the Greek food supply chain in order to investigate the three SSCM constructs. A new set of pioneering SSCM practices in the Greek food industry is identified, including daily conversation, local sourcing and HR investments. The end result of this research proposes a testable model that sheds light on SSCM in the food industry and is based on a set of propositions.
1. Introduction
Over the past decades, sustainable supply chain management (SSCM) has attracted much attention from academics and practitioners [ 1 , 2 ]. Globalisation allowed processes to be dispersed around the world, linking all supply chain members, from suppliers to end customers, through information sharing and material and capital flows [ 2 ]. As a result, pressures from stakeholders, such as regulatory bodies, non-governmental organisations (NGOs), community organizations, suppliers, customers and global competition, have prompted companies to reconsider the balance of environmental, social and economic issues in their supply chains [ 3 ] and adopt sustainable supply chain management practices. SSCM is defined as “the management of material, information and capital flows as well as cooperation among companies along the supply chain while taking goals from all three dimensions of sustainable development, i.e., economic, environmental and social, into account which are derived from customer and stakeholder requirements” [ 2 ] (p. 1700).
As in all business operations, SSCM tries to achieve clearly defined performance goals [ 4 ]. However, this is not an easy task due to the complexity of supply chains, where individual members have different and often conflicting goals from other members of the chain and hence different performance measures. Different measures are not always seen as positive regarding the entire chain’s performance, because a single company’s outcomes may be harmful for other supply chain members. Hence, the performance of the entire chain can only be improved if the supply chain is conceptualized as a whole, outside the boundaries of the firm level [ 5 ].
SSCM practices such as environmental purchasing and sustainable packaging often have positive outcomes regarding supply chain sustainability performance [ 6 ]. The development of SSCM practices can either be enabled or inhibited by various contingent factors. A variety of industries face specific enabling or inhibiting factors from different points of view based on their size, culture, location and supply chain partners. Many researchers have studied SSCM in several sectors such as manufacturing [ 2 , 7 ], the automotive industry [ 8 ], oil and gas [ 9 ], energy [ 10 ] and the food industry [ 11 ]. The food industry is one of the most important sectors that faces significant environmental, economic, social and political challenges. This is due to the focus of public attention on food safety, production practices, environmental issues such as deforestation, climate change and energy consumption and social issues such as fair wages and population growth [ 11 , 12 ]. Furthermore, globalization, technological advances, the use of agricultural chemicals and improved transportation have simultaneously raised concerns regarding the sustainability of food supply chains [ 13 , 14 ], since “changes at one stage in a supply chain will have knock-on effects on other stages in the chain” [ 14 ] (p. 97).
Other critical issues are related to the measurement of supply chain impacts, to supply chain collaboration and networking, to stakeholder engagement, to sustainable development goals, etc. [ 15 ]. These challenges confirm the differentiability of food supply chains, which lies upon variability and risk factors due to the product-specific characteristics such as perishability, seasonality in production, transportation and storage conditions [ 16 ]. In addition, customers and firms have raised their concerns regarding the origin of products, food safety, quality and sustainable production [ 17 ], including animal welfare and environmental pressure [ 16 ].
Numerous studies have investigated the relationship between SSCM practices and sustainability performance. However, limited work has been conducted on the empirical investigation of industry and location-specific SSCM critical factors and practices and their relationship to sustainability performance [ 11 , 18 , 19 , 20 , 21 ]. The food industry is characterised by enhanced supply chain relationships that aim at achieving high sustainability performance [ 11 ]. Earlier findings from ref. [ 6 ] demonstrate that environmentally friendly purchasing and sustainable packaging result in improved economic and social performance. Direct and indirect impacts between the dimensions of sustainability performance are also observed in the literature. A positive relationship is found between corporate social performance and financial performance [ 22 ]. In the wine industry, ref. [ 23 ] found that employee practices related to social sustainability result in reduced costs; ref. [ 24 ] found that environmental practices have positive environmental performance outcomes and indirect impacts on cost performance based on quality improvements. The authors of ref. [ 25 ] suggest an alignment between goals that lead to improved environmental and financial performance. On the other hand, ref. [ 24 ] highlights “the complexity of sustainability impacts on performance and suggest that performance benefits from sustainability programs may be difficult to recognize” [ 24 ] (p. 38).
With the above in mind, the aim of this study is to gain insight into the SSCM critical factors and practices that are implemented in the food industry and their possible relationship to sustainability performance. To support the purpose of this research, two methods were used. A literature review of the key SSCM topics and a case study to demonstrate the experience of two leaders in SSCM. The aim of this research will be achieved by addressing the following research questions (RQ):
RQ1: What are the factors that influence the adoption of SSCM practices in the food industry?
RQ2: Which practices do companies in the food industry adopt to develop SSCM?
RQ3: What measures can be used to measure SSCM performance in the food industry?
The rest of the paper is organized as follows. The next section presents the literature review and the case study methods. The results of the literature review and the case study are presented and discussed in conjunction with previous research in Section 3 . Finally, the conclusions are drawn in Section 4 , including the study limitations as well as future research opportunities.
2. Materials and Methods
The research methodology that was applied in this study is based on the following steps [ 15 ]: (i) a literature review; (ii) identification of the gaps; (iii) concepts synthesis; and (iv) a case study.
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2.1. Literature Review Method
Because the identification and conceptualisation of SSCM is still unclear, a literature review was conducted on the key sustainable supply chain management topics, such as critical factors for implementation, practices and performance. Despite the fact that other reviews on the SSCM are already published, this review is required in order provide an up-to-date report and understanding of the current SSCM research. The search for related scientific articles was based on keywords and authors’ names, in major bibliographical databases and publishers such as Scopus, Elsevier, Emerald, Springer, Wiley, Taylor & Francis, Springer, Sage Publications and Inderscience, over a twenty-year period since 2000. The keywords search included “sustainable supply chain management”, “drivers”, “barriers”, “enablers”, “motivators”, “critical factors”, “sustainable supply chain management practices”, “sustainability performance” and “food industry”. The authors search included Seuring S., Beske P., Gualandirs J., Govindan, K, Pagell M., etc., since these authors have repeatedly focused their research on SSCM topics [ 1 ]. A secondary search was also carried out using the cited references. Only papers in peer-reviewed English scientific journals are reviewed. This research includes articles with a focus on the food industry as a field of application but is not limited to that. Articles from other sectors were also included in the study.
The measures identified by the comprehensive literature review were named and grouped based on the affinity method, which is utilized to organize into categories common themes from a large amount of information [ 26 ]. In addition to the affinity method, the naming and grouping of the constructs were based on interviews of five professionals of the food industry and five academics.
2.2. Case Study Method
Taking into account that the analysis of a supply chain as a whole is a complex and difficult task and in order to explore the SSCM critical factors, practices and performance in the food industry, a case study was selected as the most appropriate research method [ 27 , 28 ]. This study investigates a sustainable supply chain in order to capture the critical factors of SSCM, the SSCM practices adopted and their influence on sustainability performance. The research has been carried out in a supply chain that is comprised of two SSCM leaders that operate in Greece ( Table 1 ). This is particularly useful, because it offers empirical contributions within the Greek-business context, where SSCM literature is limited. The names of the companies were not disclosed in order to protect confidentiality and encourage the openness of responses. The unit of analysis in this study is the food supply chain. The study investigates the particular food supply chain, comprised of two companies, and the findings will concern the supply chain as a whole.
Sample characteristics.
Company | Description | Size/Ownership |
---|---|---|
Soft drinks and beverages (SB) | Multinational producer and distributor of soft drinks and beverages | Large/Private |
Super Market (SM) | Multinational distribution centre and retailer | Large/Private |
The authors of ref. [ 29 ] propose a five-stage process for case studies that is used for structuring this research. Figure 1 depicts the various research steps.
![Click on image to zoom An external file that holds a picture, illustration, etc.
Object name is foods-11-02295-g001.jpg](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367897/bin/foods-11-02295-g001.jpg)
The five stages of the research process model.
- The first step is related to the research objective. This research uses a single case study to investigate the critical factors that influence companies in the food industry to implement SSCM practices, which are these practices and how do they influence sustainability performance.
- The second step is related to the research instrument development. A single case research design is used to guide this study and provide an in-depth understanding of a complex phenomenon, through the observation of actual practices in real-world settings, without any kind of control or manipulation, considering both temporal and contextual dimensions [ 30 , 31 ]. Case studies provide researchers the opportunity to closely analyse the data within a specific context. In ref. [ 32 ] (p. 18), the authors define the case study research method “as an empirical inquiry that investigates a contemporary phenomenon within its real-life context; when the boundaries between phenomenon and context are not clearly evident; and in which multiple sources of evidence are used.” Furthermore, the detailed qualitative accounts often produced in case studies not only help to explore or describe the data in real-life environments but also help to explain the complexities of real-life situations, which may not be captured through experimental or survey research [ 33 ]. For the reasons referred to above, a single case study comprised by two leaders in the food industry was selected as the most appropriate research method for this study. The firms are both sustainability leaders in the Greek food industry and members of multinational groups. The companies were selected as they have received a series of recognitions regarding sustainability, such as Environmental Awards, Supply Chain Sustainability Awards, distinctions in CSR actions, etc. Furthermore, both companies play a crucial role in the Greek industry, society and economy. An interview protocol [ 27 ] was developed on the basis of the reviewed literature and closely following previous research on SSCM [ 34 , 35 ] (see Appendix A ). The authors of ref. [ 36 ] highlight that using existing questions enables the comparability of results. Furthermore, ref. [ 28 ] points out that using interview protocols assures the reliability of data. The interviews ranged from 70 to 90 min.
- (1) The CSR Manager of the SB company;
- (2) The Quality Manager of the SB company;
- (3) The Manager of the distribution centre of the SM company;
- (4) Two Logistics Project Managers of the SM company;
- (5) Three Retail Store Managers of the SM company.
Field notes were typed up during each interview. Repeated contacts by phone or e-mails were needed to confirm the chain of evidence. Except for the data drawn from interviews, the analysis of the sustainability reports in combination with the website information and other news were important secondary sources.
- 4. The fourth step refers to the data analysis. The data analysis was filtered and guided by the identified SSCM constructs.
The fifth step is related to assuring the quality of the research process: Multiple sources of data were collected, including archival data (financial reports, CSR reports, website material and company records), on-site observations and semi-structured interviews, in order to achieve data source triangulation and ensure construct validity ([ 37 ], p. 68; [ 28 ], p. 36). The internal validity of the case was assured by doing pattern matching with other studies identified in previous research [ 28 ]. Regarding the external validity, the case study was designed and conducted based on the gathering of as many data as possible in order to attain a deeper knowledge of the complex background of SSCM and to identify the more analytical and general theoretical implications [ 28 ].
3. Results and Discussion
This section begins with the literature review results, highlighting the concepts of the sustainable supply chain management and continues with the case study results of the food supply chain.
3.1. Literature Review Results
The results of the literature review are classified in three main SSCM content categories, namely, critical factors, practices and performance.
3.1.1. Critical Factors
In studying the literature, many terms are found to be used interchangeably by researchers. For example, the factor top management commitment is considered as enabler [ 35 , 38 ], driver [ 39 ], success factor [ 40 ], critical factor [ 41 ], enabling factor [ 42 ], reason [ 43 ], motivator [ 19 ] and firm-level strength [ 44 ]. In contrast, most researchers in the SSCM literature use the term barrier when describing factors that inhibit SSCM, such as the lack of top management commitment [ 1 , 35 , 39 ]. As observed, there are several terms to describe the same factor, indicating a lack of agreement on how these terms should be used in SSCM research. Furthermore, these factors are classified in more than one category, such as internal and external [ 35 , 45 , 46 ], regulatory, resource, market and social [ 47 ], stakeholder, process or product [ 48 ].
The identified factors are named critical factors, including enablers, drivers, success factors, motives as well as barriers and inhibiting factors. More specifically, in this study critical factors are defined as the factors that are responsible for enabling or inhibiting the successful implementation of SSCM. This is the rationale for grouping the enablers, drivers, success factors, motives, barriers and inhibiting factors in one group. This approach is also applied in other studies that investigate SSCM [ 41 ]. A total of 83 critical factors were identified in the literature from 34 papers. The critical factors are classified into three groups. The first group is related to firm-level critical factors (FLCF), the second to supply chain-level critical factors (SCLCF) and the third to external critical factors (ECF). All three groups of factors play a major role in the success or failure of the implementation of SSCM [ 1 ].
Firm-Level Critical Factors (FLCF)
Sustainable supply chain management scholars have asserted that firms should consider multiple factors that will enable or hinder the successful implementation of SSCM practices [ 1 ]. Several critical factors from various industries and countries have been identified in the literature [ 1 ]. Top management commitment and support is considered the most common FLCF [ 35 , 38 , 40 ]. In ref. [ 49 ], the authors have highlighted that top management is responsible for directing sustainability efforts; [ 50 ] also found that senior corporate management’s attitude can foster plant-level sustainability management. Indeed, the implementation of SSCM is an internal decision that has to be supported at the firm level [ 43 ]. From a supply chain-level perspective, ref. [ 39 ] have found that top management is a factor that drives purchasing and supply management sustainability initiatives. On the other hand, low or lack of top management commitment is considered by many researchers as a barrier for the successful implementation of SSCM [ 1 , 46 ]. In the food industry, ref. [ 34 ] have found that the most common critical factors for SSCM adoption are the operational cost reduction and market drivers, such as customer requirements, retailer pressure and brand image and corporate reputation. Meeting customer demands, expectations and requirements is one of the most cited critical factors for the implementation of SSCM [ 35 , 39 , 47 ]. It is widely accepted that customers are the stakeholder group that influences most a company’s performance by buying or rejecting a specific product [ 51 ]. For example, there are customers that desire to have environmentally friendly products and services and they are willing to pay more for their demand. If companies fail to meet this specific requirement, they may face customer boycotts [ 43 ]. In ref. [ 39 ], the authors identified knowledge and expertise regarding sustainability as a driving force for developing an organisation’s SSCM strategy, while ref. [ 47 ] highlighted knowledge as a critical intangible asset for SSCM implementation. Indeed, competences, knowledge and expertise are crucial factors for the successful or unsuccessful implementation of SSCM [ 39 , 41 , 43 , 47 ]. The recent study of ref. [ 18 ] has shown that companies that invest in human capital with professional expertise and capabilities on sustainability issues can enable the implementation of SSCM practices. In the same line, ref. [ 47 ] mentions that the lack of knowledge about sustainability issues hinders the development of SSCM. Training and education are other key firm-level critical factors that are closely related to sustainability performance [ 18 ]. Training and development about sustainability allow for sustainability improvements in job performance and helps companies minimise errors and waste [ 18 ]. A lack of training and education, on the other hand, hinders successful SSCM implementation [ 1 ]. In ref. [ 24 ], the authors found that despite the fact that social sustainability practices, including participation and training of employees, indirectly impact firm performance, they are positively related. More specifically, social sustainability practices are considered quality-enablers in the food sector [ 24 ]. Reputation critical factors are related to brand name and reputation, or minimization of the risk of negative publicity [ 47 ]. The authors of ref. [ 47 ] highlight that corporate reputation and image are positively related to eco-brand developments. Being proactive regarding sustainability issues can bring a good reputation and image and offer easier market access and develop a good network of suppliers and partners [ 52 ]. In ref. [ 53 ] (p. 325), the authors further explain that “organizations build a reputation of ‘good citizen’ by promoting environmental and social sustainability in their supply chain. This reputation improves legitimacy and access to key resources”. Firm-level critical factors related to financial issues include cost savings from operational and material efficiencies [ 47 ] and the increased resource utilization [ 39 ]. On the opposite side, companies that desire to adopt SSCM practices often struggle to overcome the high costs related to the upstream supply chain greening [ 47 ] or the development of supply chain infrastructure, systems and processes [ 19 ].
Supply Chain-Level Critical Factors (SCLCF)
Supply chain-level CFs are closely linked to firm-level CFs. The literature posits that firm level and supply chain-level alignment strongly affect their successful integration [ 54 ]. Information sharing has been identified as one of the most important enablers to adopt SSCM practices [ 38 , 40 , 41 ]. In ref. [ 18 ], the authors suggest that information sharing enables the development of new ideas regarding sustainability and enhances collaboration throughout the supply chain. In the food industry, information sharing among supply chain members is described as a novel form for traceability and it is linked to improved supply chain performance [ 25 ]. Ref. [ 34 ] mentions that product traceability is strongly related to social sustainability and ensures food safety. The limited or lack of information and transparency on sustainability related issues, on the other hand, has a negative impact on SSCM implementation [ 41 , 42 ]. Trustful relationships and commitment among supply chain partners is mentioned as a key factor for implementing SSCM in the food industry. This is due to the criticality of ingredient quality in the food production [ 41 ]. According to ref. [ 34 ], who investigated sustainability in the Italian meat supply chain, building trust amongst supply chain firms is a core component for implementing exceptional supply chain practices, such as supplier collaboration, for sustainability. On the contrary, ref. [ 1 ] highlights that poor supplier commitment is one of the most common inhibiting factors. In ref. [ 46 ], the authors found that the lack of trust and commitment between supply chain members is an important obstacle, especially when customers audit suppliers. Agreeing on a common SSCM strategy is another important supply chain critical factor. The authors of ref. [ 40 ] found that it is more likely for companies that signal sustainability initiatives to their supply chain partners and stakeholders to develop a common SSCM strategy with them. Developing a common SSCM strategy ensures that all supply chain partners pursue the same strategic goal [ 40 ]. Indeed, policy sharing, and the subsequent establishment of common goals, was found to be a key factor for the implementation of SSCM practices such as environmental collaboration [ 55 ]. Ref. [ 11 ] found that pro-activity is a key factor when pursuing an SSCM strategy in the food industry (e.g., organic food or fair trade) since new processes and technologies need to be established. The lack of agreement on an SSCM strategy hinders the adoption of SSCM. Another factor that significantly affects the adoption of SSCM practices is geographical distance. The findings of ref. [ 56 ] show that when geographical distance between suppliers increases, a negative impact is observed on data gathering, assessment and collaboration. More specifically, ref. [ 41 ] found that when visiting distant farms or manufacturing plants is required, significant travel effort and resources are needed and as a result it is more difficult to check the partners’ operations and processes. On the contrary, shorter supply chains often lead to the successful implementation of sustainability practices [ 57 ].
External Critical Factors
External CFs originate from a variety of stakeholders, such as government, customers, suppliers, media, non-governmental organizations (NGOs), etc. Two of the most common external critical factors for SSCM are the existence of regulatory frameworks [ 38 , 39 , 47 ] and the awareness of and compliance to government policy and legislations [ 18 , 35 , 39 , 58 , 59 ]. Pressure from governments in the form of legislation, such as energy and waste directives, international regulations such as the UN Declaration of Human rights and International Labour Organization conventions, or the EU’s Sustainable Consumption, Production and Sustainable Industrial Policy Action Plan are critical factors for the implementation of SSCM in the food industry [ 47 , 52 ]. Furthermore, pressure from investors [ 35 , 47 ] and interaction with NGOs and other external stakeholders [ 42 ] may exert pressure on companies to implement SSCM. Pressures from investors, such as increased investor appeal on sustainability criteria, are considered a driving force to initiate and maintain SSCM [ 35 , 47 ]. Food scares regarding pesticide residues, unhealthy ingredients, chemical residues, etc., result in cautious measures [ 47 ]. Other studies have identified competitor’s pressure as a market factor that may lead to the development of SSCM practices. Refs. [ 35 , 39 , 40 , 47 ] posit that the adoption of SSCM practices by competitors motivates companies to develop SSCM.
Additional SSCM critical factors are identified in the literature but are not included here, since the concentration in this paper is on those factors that are relevant for sustainable supply chain management in the food industry. A comprehensive list would have to include critical factors such as innovativeness, technology and equipment [ 18 ]; employee involvement and traditional accounting methods [ 35 ]; additional human resources [ 42 ]; personnel commitment [ 41 ]; Industry 4.0 solutions [ 60 , 61 , 62 ], including the Internet of Things (IoT), sustainability data and information [ 42 ]; and the supply chain cultural and language differences [ 41 ]; among others.
3.1.2. Practices
In ref. [ 63 ] (p. 620), supply chain management practice is defined as “a set of activities undertaken in an organization to promote effective management of its supply chain”. In combination with the definition of SSCM that has been provided in the introduction, SSCM practice is defined as a set of sustainability (i.e., economic, environmental and social) activities undertaken in an organization in cooperation with each stakeholders, to promote effective sustainability management of its supply chain. SSCM practices have their origins in green supply chain management (GSCM). Ref. [ 8 ] have examined the relationships between GSCM practices and organizational performance in the Chinese manufacturing and processing sectors. In their study they categorized GSCM practices into four groups: (1) Internal environmental management; (2) External GSCM practices; (3) Investment recovery; and (4) Eco-design. Their results have shown that GSCM practices tend to have a positive relationship with environmental and economic outcomes. The same authors three years later used internal environmental management, green purchasing, eco-design, cooperation with customers and investment recovery to represent GSCM practices in their empirical study [ 64 ]. Ref. [ 65 ] investigated the impact of GSCM practices on organizational performance in the electrical and electronic sector. Their results indicate that green procurement and green manufacturing practices have a positive influence on environmental and financial performance. The authors in ref. [ 66 ] identified 47 different logistics social responsibility (LSR) practices and developed a taxonomy of five categories including socially responsible purchasing, sustainable transportation, reverse logistics, sustainable packaging and sustainable warehousing. The authors in ref. [ 67 ] have empirically investigated the influence of environmental collaboration practices in the supply chain on environmental and manufacturing performance. In ref. [ 25 ], five bundles of SSCM practices were identified through case studies of ten exemplar firms: (1) commonalities, cognitions and orientations; (2) ensuring supplier continuity; (3) re-conceptualize the chain; (4) supply chain management practices including sourcing management, operations and investments in human capital; and (5) measurement. In their list of SSCM practices in the food industry, ref. [ 24 ] included both social and environmental issues. More specifically, they have identified four types of SSCM practices, namely, land management, recycling, facility conservation and social practices, and tested their relationships to environmental, quality and cost performance. Focusing on a more social perspective of supply chains, ref. [ 56 ] developed a construct of supplier socially responsible practices, including human rights, labour practices, codes of conduct and social audits. In ref. [ 6 ], the authors suggest that a positive effect on supply chain sustainability performance could be achieved when firms adopt environmental purchasing and sustainable packaging practices.
The concept of SSCM includes material, information and capital flows; cooperation across the supply chain; economic, environmental and social performance; and customer and stakeholder requirements [ 2 ]. The extant body of literature portrays a variety of different SSCM practices, but all have one central objective, namely, the improvement of supply chain sustainability performance. A total of 96 SSCM practices were identified in the literature from 21 papers. In order to conceptualize and develop a sound construct based on the literature and on [ 11 ], five practices that cover the aspects of SSCM emerged: (1) strategic orientation; (2) supply chain continuity; (3) collaboration; (4) risk management; and (5) pro-activity. This set of practices emphasizes enhancing the relationships among supply chain partners, the flow of goods and information, and the sustainability aspects.
Despite the major aspects of SSCM that the above practices cover, it should be highlighted that the set of practices that will be described below is not considered complete. Several other practices that have been discussed previously are investigated in the extant literature. In this paper, the SSCM practices as proposed by ref. [ 11 ] are used for two reasons: (1) these practices are applied to food supply chains; and (2) the aim of this paper is to further enhance the empirical content of these practices.
Strategic Orientation
Strategic orientation refers to the commitment of organizations to SCM, as well as to their dedication to the Triple Bottom Line (TBL) concept [ 11 ]. In ref. [ 25 ], the authors proposed that, in order to create a sustainable supply chain, a management orientation towards sustainability is required. The balance of environmental, social and economic issues, i.e., the Triple Bottom Line (TBL), plays a crucial role for companies that want to implement a sustainability strategy [ 68 , 69 , 70 ], and support their decision making [ 11 ]. In ref. [ 21 ], SSCM practices in the automotive sector were investigated and found that supply chain orientation and the TBL approach are the most important practices for supply chain sustainability. Furthermore, ref. [ 20 ] conducted a survey to investigate the impact of SSCM practices from manufacturing companies in various sectors on dynamic capabilities and enterprise performance. Their results showed a positive relationship between supply chain strategic orientation and sustainability performance. In the food industry, ref. [ 11 ] found that TBL orientation, which is driven by the consumer’s demand, the company’s motivation and the stakeholders’ pressure, is addressing the sustainability needs of the food industry.
Supply chain continuity is related to the design and structure of the supply chain network [ 11 ]. Ensuring supplier continuity is identified as one of the top sustainable supply chain management practices for exemplar firms [ 25 ]. Continuity has to do with the interaction of supply chain members on a permanent base [ 11 ]. The core elements of supply chain continuity are the long-term relationships with supply chain partners, the supply chain partner development and the partner selection. Long-term relationships include trust and commitment among the supply chain members [ 25 ], which endeavours information sharing [ 71 ] and enhances the collaborative design of products or processes [ 55 ]. Supplier development refers to the improvement in supplier environmental and social performance [ 25 ]. In traditional supply chain management, the development of suppliers is found to be one of the best practices [ 72 ], which is also connected to sustainability through mentoring approaches [ 73 ]. In the food industry, for example, the assistance and teaching of new farming methods or the funding of costs related to more sustainable farming practices are included in the development of partners [ 74 ]. Partner selection is based on their supply chain competency [ 75 ] and their desire to develop sustainable practices [ 76 ]. Focusing on activities that enhance transparency, traceability, supplier certification and decommodisation is important for ensuring supplier continuity [ 25 ]. As ref. [ 25 ] (p. 48) describe, organizations that are pursuing continuity in their supply chains, “are trying to ensure that all members of their chain not only stay in business, but that they do so in a manner that allows them to thrive, reinvest, innovate and grow”. Furthermore, focal firms are positively affected by supply chain continuity due to the fact that the supply chain base is stable and capable [ 25 ]. Ref. [ 20 ] also found a positive relationship between supply chain continuity and sustainability performance.
Collaboration
The importance of collaboration in supply chains has been recognized as a key factor but also as a great challenge for supply chain success [ 77 ]. Collaboration goes beyond the traditional modus operandi between organisations. First of all, collaboration as an SSCM practice is not restricted only to new product development but also to the development and enhancement of business processes [ 11 , 67 ]. The literature suggests that efficient and responsive supply chains rely on the creation of close and long-term relationships and partnerships with various members of the supply chain in order to increase the customer value [ 77 , 78 ]. Joint development is a key enabler for long-term partnerships. Reference [ 11 ] defines it as the collaborative development of new technologies, processes and products. As ref. [ 79 ] point out, specific resources from each supply chain partner are required in order to jointly address sustainability issues. The implementation of collaborative development is based on knowledge sharing in order to enable the development of sustainable products and processes [ 55 ]. Moreover, suppliers and customers can jointly plan the decrease of their operations’ impact on the environment or support the information exchange and the logistical and technical integration [ 67 ]. Collaboration is also characterized by enhanced communication—a very important practice regarding the management of supply chain partners. The quality of information sharing is critical in order to achieve transparency in the supply chain [ 80 , 81 ]. Transparency regarding the origin and ingredients of food, the production methods, etc., is also important for consumers [ 82 ]. Despite the need for collaboration to achieve sustainable supply chain management, significant barriers arise that are mainly due to the complexity of supply chains. For example, ref. [ 77 ] found that the structure of the food industry and the nature of products have a negative impact on the intensity of collaboration and restrict it to the more tactical-operational, tactical and logistical level.
Risk Management
Supply chain risk management includes the adoption of risk mitigation practices to avoid exposure to risks [ 2 ]. The adoption of standards and certifications is identified as the most common risk management practice in the literature [ 11 ]. This is due to the fact that standards and certifications such as ISO 9001 and ISO 14001 can be applied to a broad range of sectors and they can also be managed (if companies wish) by external consultants, who enhance the level of credibility [ 83 ]. Monitoring of specific suppliers in order to explore their needs and identify their progress on specific goals [ 84 ] is another practice identified within the risk management category. As authors in ref. [ 11 ] mentioned, individual monitoring of suppliers is particularly important in food supply chains, where traceability is a crucial factor to guarantee sustainable production. Despite this fact, individual monitoring is not frequently addressed in the extant literature [ 11 ]. Pressure group management is another key characteristic of risk management, which can affect the company’s reputation or performance [ 85 ]. In ref. [ 2 ], it is pointed out that stakeholders such as NGOs and government should not only be monitored but actively engaged and managed through the implementation of specific practices that address their pressures. It should be noted that the interests of a company and its stakeholders do not always align, and their pressure is seen from a negative perspective [ 11 ].
- Proactivity
Proactivity refers to the actions taken by a company in order to control and manage a specific situation regarding sustainability before it happens, rather than responding to it after it happens. The literature shows that Life Cycle Assessment (LCA) is the most common tool of the pro-activity practice [ 11 ]. LCA is used to measure the environmental impacts of the life cycle of a product or service. While LCA is a commonly discussed topic in the literature, ref. [ 25 ] found that exemplar firms are using life cycle analysis at the basic level, and only to address the environmental impacts of the chain and not the social ones. Ref. [ 11 ] highlights the necessity of supply chain orientation for LCA. If supply chain orientation is not implemented, the information between the supplier, buyer and focal company will not be shared. As a result, joint contributions should be made by all members of the supply chain [ 11 ]. Stakeholder management is found to be one of the most frequent practices in the literature [ 11 ]. When companies decide to adopt proactive practices, the management of stakeholder requirements is acting as an important factor for performance, products and processes improvement [ 2 , 11 ]. Innovation is another key factor of proactivity and it has been investigated in the field of sustainable supply chain management literature [ 85 ]. Innovation includes the capability of a company to generate and implement new ideas and develop or apply new technologies. It is a prerequisite for dynamic market environments such as sustainable supply chain management [ 11 ]. An example of supply chain innovation is the adoption of new innovative technologies, such as the Internet of Things or Industry 4.0 tools, which make both internal and external processes more efficient and result in improved sustainability performance [ 61 ]. Learning from partners and stakeholders is another important dimension of proactivity. The acquisition of new knowledge is the key characteristic of learning. Companies can learn from supply chain partners, local communities, NGOs, government, researchers, etc. The authors of ref. [ 86 ] showed that when firms wish to implement a sustainability strategy, they should be pro-active in the first steps of the product’s development and in its whole life cycle. Overall, ref. [ 25 ] highlight that proactivity and commitment can only be effective if companies achieve an alignment between business models and environmental and social sustainability aspects. Ref. [ 11 ] further explains that in sustainable food supply chains, such as organic or fair trade, which are dynamic in nature and still young industries, proactive measures are necessary, since many new processes and technologies are under development.
3.1.3. Performance
Sustainability performance refers to how well an organisation achieves its environmental, economic and social goals. Most studies in the literature focus on the economic and environmental performance aspects, whereas the social dimension and the integration of the three sustainability dimensions are still lagging behind [ 2 ]. However, the review of [ 4 ] revealed a rising interest in studies that investigate the social dimension and the combination of all three dimensions; however, more research is needed in the field. The present section proposes sustainability performance as a three-dimensional construct. A more detailed discussion of the environmental, economic and social performance is provided below. In total, 684 SSCM measures were identified from 55 papers, which were grouped in the following three categories.
Environmental Performance
A wide variety of research papers has focused on the environmental performance of supply chains. As ref. [ 2 ] argues, this can be explained due to the fact that environmental issues have been on the research agenda for many years. This could be further supported by the fact that, in many countries, organizations are obliged to meet specific thresholds on their environmental impacts; e.g., toxi-chemical releases [ 87 ]. The most frequently used measure is related to either the reduction or avoidance of hazardous/harmful/toxic materials. The second most cited measure is water consumption, followed by energy consumption, recycled materials, Life Cycle Analysis (LCA) and environmental penalties. Energy efficiency, air emissions and greenhouse gas emissions are also some of the most cited measures in the literature.
A variety of other measures that appear less in the literature have addressed themes such as waste [ 79 , 87 , 88 ], environmental management systems, eco-design [ 89 , 90 ], biodiversity [ 87 , 91 ], etc.
Economic Performance
Economic performance is typically the most important factor that all companies are aiming to improve. Since the focus of this research is on supply chain management, the economic dimension is an integral part. In the context of SSCM, the comprehensive literature review in [ 2 ] shows that economic issues were addressed in all the studied papers. At this point, it should be mentioned that possible trade-offs between the three sustainability dimensions can occur. Especially for the economic dimension, economic incentives could be hidden behind a variety of environmental and social measures [ 87 ]. For example, economic performance measures such as procurement costs might increase when deciding to use environmentally friendly materials [ 4 ]. The most frequent measure regarding the economic performance is quality. Measures that focus on quality may refer to the quality of products provided by suppliers [ 87 ] or to the quality of the production process [ 73 ]. Sales, market share and profit are the second most frequent measures, followed by delivery time and customer satisfaction.
Other measures that appeared less in the literature include responsiveness [ 89 , 90 , 92 ] number of employees [ 93 , 94 , 95 ], transportation costs [ 95 , 96 , 97 ], etc.
Social Performance
As mentioned before, previous studies have revealed that little research has focused on the social performance of supply chains [ 12 , 98 ]. The authors of ref. [ 99 ] argue that this could be due to the fact that social issues are frequently hard to measure. The literature shows that only a few measures are frequently used confirming the fact that little attention has been given to the social dimension of SSCM. The most frequently used measure is recordable accidents followed by training and education and labour practices.
Other social issues that appeared in the literature include human rights [ 100 , 101 , 102 ], local communities influence [ 89 , 90 , 103 ], fair trade [ 57 , 100 , 104 ], philanthropy [ 105 ], etc. A recent study [ 106 ] has shed light on modern slavery in supply chains, a new area in the agenda of SSCM that has gained a lot of attention lately.
Table 2 lists the proposed constructs described in Section 3.1.1 , Section 3.1.2 and Section 3.1.3 , along with their definitions and supporting literature.
Proposed SSCM constructs, along with their definitions and supporting literature.
Constructs | Definitions | Reference |
---|---|---|
SSCM Critical Factors | ||
Firm-Level Critical Factors | Firm-level critical factors refer to internal factors that firms should take into consideration for the successful implementation of SSCM practices. Top management commitment, customer demand, knowledge and expertise, training and efficiency are some of the most common firm-level critical factors for SSCM. | [ , , , , , , , , , , , ] |
Supply Chain-Level Critical Factors | Supply chain-level critical factors are closely linked to firm-level critical factors and refer to the supply chain’s motivational activities that promote the implementation of SSCM practices. Some of the most common supply chain-level critical factors identified in the literature are information sharing, trust, supply chain strategy and geographical distance. | [ , , , , , , ] |
External Critical Factors | External factors refer to the external considerations that firms do not control but, should take into account for the successful implementation of SSCM practices. Government policy, international/national regulations, stakeholders, competitors, investors and food incidents are identified as some of the most common in the SSCM literature. | [ , , , , , , , , , , ] |
SSCM practices | ||
Collaboration | Supply chain collaboration is dealing with the design and the government of supply chain activities as well as the establishment and maintenance of long-term supply chain relationships. Collaboration allows the joint development, the technical and logistical integration, the enhanced communication and the knowledge and information sharing among supply chain partners. | [ , , ] |
Continuity | Supply chain continuity refers to the design and structure of the supply chain network in order to achieve successful interaction of supply chain members on a permanent base. Key characteristics include the long-term relationships with supply chain partners, the partner development and selection. | [ , , ] |
Strategic orientation | Strategic orientation refers to the commitment of organizations to supply chain management, as well as to their dedication to the Triple Bottom Line (TBL) concept, which promotes the balance of environmental, social and economic issues. | [ , , , , ] |
Risk management | Supply chain risk management includes the adoption of risk mitigation practices to avoid exposure to risks. The adoption of standards and certifications, the monitoring of supply chain partners and the engagement of stakeholders are some of the key practices. | [ , ] |
Pro-activity | Proactivity refers to the actions taken by a company in order to control and manage a specific situation regarding sustainability before it happens, rather than responding to it after it happens. | [ , ] |
SSCM Performance | ||
Economic | Economic performance refers to how well an organisation achieves its economic goals. Productivity, delivery time, product quality, sales & market share, customer loyalty, flexibility, profit rates and investment yield are some of the most frequently used indicators to measure economic performance. | [ , , , , , , , , , , , , ] |
Environmental | Environmental performance refers to how well an organisation achieves its environmental goals. Hazardous/harmful/toxic materials, compliance to standards, energy, water, emissions, waste production, environmental accidents and use of recycled materials, are identified as the most common environmental performance indicators. | [ , , , , , , , ] |
Social | Social performance refers to how well an organisation achieves its social goals. Product safety, accident rate, training rate, health and safety, employment contribution, benefits, loyalty, turnover rate, corporate image, human rights screening (suppliers and contractors) and community support have been identified in the literature as some of the most common social performance measures. | [ , , , , , ] |
Figure 2 presents the SSCM theoretical framework developed in this study. A detailed description of the identified constructs is provided in the previous sections. Using literature support, this study has linked the developed constructs and proposed the expected relationships among them. The framework proposes that critical factors are influencing the implementation of SSCM practices, which in turn influence SSCM performance. CF is conceptualized as a three-dimensional construct (firm level, supply chain level and external level); SSCM practice is conceptualized as a five-dimensional construct (strategic orientation, continuity, collaboration, risk management and pro-activity); and SSCM performance is conceptualized as a three-dimensional construct (environmental, economic and social).
![Click on image to zoom An external file that holds a picture, illustration, etc.
Object name is foods-11-02295-g002.jpg](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367897/bin/foods-11-02295-g002.jpg)
Proposed theoretical framework linking critical factors, practices and performance (based on the literature).
3.2. Case Study Results
The empirical results of the food supply chain case study reflect all the SSCM constructs that have been presented in the theoretical framework. In addition, some new “pioneering” SSCM practices emerged from the data. In Section 3.2.1 , the first research question is answered regarding the critical factors for engagement and implementation of SSCM practices. The second and third research questions are answered in Section 3.2.2 and Section 3.2.3 , by addressing which SSCM practices are implemented and what measures can be used for SSCM performance measurement in the food industry.
3.2.1. Critical Factors
The commitment and support of top management is reported as predominant firm-level critical factor for SSCM implementation. As highlighted, “sustainability is seen as an integral part for the future of our business. You cannot produce like there is no tomorrow, you produce because you want tomorrow to exist” (CSR Manager, SB). SSCM requires “proactive top management that understands that sustainability is an organizational commitment” ([ 25 ], p. 40). Indeed, top management is a critical firm-level factor for the promotion of SSCM and its absence may act as an obstacle for SSCM adoption [ 1 , 35 ].
Customer-driven orientations, in order to meet customer demands and needs, have been confirmed as critical factors of SSCM implementation, by all the interviewees. Previous studies have found that customer demands and requirements drive the development and implementation of SSCM practices [ 35 , 39 , 47 ]. For example, ref. [ 19 ] found that customer expectations are some of the most important driving forces for SSCM implementation. Similarly, ref. [ 47 ] have confirmed that customer demand and expectations are market drivers for corporate supply chain responsibility. In other words, adapting to what customers want is necessary for the implementation of SSCM at all supply chain stages.
According to the managers and the companies’ records, expertise and knowledge on environmental and social issues of supply chains is required to implement SSCM practices. Knowledge about how suppliers and other partners work regarding sustainability, is a critical SSCM factor that exemplar firms are adopting to improve their entire supply chains [ 25 ].
Employee training and development was also confirmed by both companies as another important firm-level critical factor. All key informants highlighted the continued efforts of their companies to offer a variety of programs in order to improve employee satisfaction and raise the sustainability awareness. Training and development can lead to engagement in SSCM practices, which, as mentioned by the interviewees, is a crucial part of the corporate strategy. It was evident by both the participants and the companies’ records that training and development programmes improve job performance and reduces errors and waste, which was also confirmed by the study of [ 18 ].
Efficiency in operations and material management was mentioned by the participants. Efficient energy management and electricity generated from renewable energy sources were the top mentioned factors of SSCM. Another element of efficiency is technology. Both companies exploit the available technologies to improve and optimize operational processes. This leads to cost savings and resource reduction and thus offers the ability for new investment plans.
The sampled supply chain is involved in traceability actions with their suppliers. Previous literature suggests that traceability is a new form of information sharing [ 25 ]. There is a requirement for information sharing on the living conditions of the animals, on the production of products, on the materials used, the locality information, information related to product labelling, etc. As reported, clear information about the products and their ingredients are provided on the front and back of the packages.
According to the interview data, the key to successful solutions to the daily problems is trust. Trusted partnerships and long-term cooperation build relationships of trust and confidence with suppliers. In this way, both companies achieve their goals, while at the same time “pushing” their suppliers to develop and improve as individuals. The same logic applies to the customers as well. Several systems are applied in the sampled companies, such as, compliance management system as well as anti-corruption and antifraud systems. In general, both companies are trying to create a climate of mutual trust among their stakeholders (employees, customers, suppliers, local communities, etc.).
Both companies have managed to establish a common supply chain strategy with their supply chain partners. The improvement in environmental and social standards across the supply chain is in the core element of the SSCM strategy. The organisations implement a sustainability strategy in their partnerships that includes goal-oriented actions. As reported, the suppliers are a crucial part of the supply chain, and through continuous dialogue with them, the added value of the products and services reducing one’s environmental footprint and effects on society is enhanced. Geographical distance was not mentioned by the participants. However, both companies use local sourcing in more than 80% of their operations. This creates additional added value in the local economy, with the indirect creation of jobs.
The interview data revealed that legislation requirements very often force companies to transform their business by applying sustainable practices; e.g., water saving. This is further identified in the secondary data, where strong focus is given on information regarding the legal penalties or fines for non-compliance with environmental and social regulations. Information is also provided regarding the compliance to European and national legislation on consumer products and the non-promotion and communication to minors (aged under 18 years old). The literature suggests that regulations and legislations can act as strong driving forces for the implementation of SSCM practices [ 39 , 43 ]. Examples, such as the British Petroleum (BP) oil spill, have shown that there is as huge negative impact on the supply chain economic performance, estimated at around $90 billion, including civil and criminal penalties [ 107 ].
Furthermore, the trends of stakeholders undoubtedly constitute an important pressure as they can also change a company’s strategy. For example, an interviewee mentioned that when there was an intensive debate about obesity, the company realized that it could not ignore it and decided to develop new products for consumers who do not want to get extra calories. In this way, the consumer had the choice of choosing the suitable product regarding his/her wishes. The sampled companies engage stakeholders in active dialogues throughout the year, to determine and redesign their sustainability strategy and actions and understand how to meet their needs and expectations. Stakeholder management is critical for maintaining a healthy and sustainable business. As declared with the CSR reports of the two companies and corroborated by the interview data, producing a positive value for stakeholders and creating the conditions for a healthy competitive environment enhance sustainable development.
The risk of changing product quality after production is mentioned as a key external critical factor for implementing SSCM practices. As reported, a company makes significant investments in order to offer the customer the right product, in the right package, at the right point of sales and at the right price, with its primary concern being safety. Another interviewee highlighted that the company is developing and implementing systems, standards and practices to ensure food quality and safety and avoid actual and reputational risks such as child labour.
3.2.2. Practices
The data analysis suggests the development of two main groups of practices: the traditional SSCM practices and the pioneering SSCM practices. The first group includes the SSCM practices as identified in the literature, while the second group encompasses SSCM practices that are adopted by leaders. The term “pioneering” is used only to describe these practices in the Greek food industry context. In the following sections, a description of both groups of practices is provided.
Traditional SSCM practices
Collaborations with supply chain members such as suppliers and customers as well as with a range of stakeholders such as NGOs and other entities are identified as key practices that help both companies and their supply chains to achieve sustainability goals. Long-term collaborations and contact with suppliers and stakeholders create relationships of trust and confidence. Development and improvement of suppliers as individuals is another characteristic of collaboration that emerged from the data. Joint development and training of suppliers is found to add value in the supply chain management performance. The data revealed that the companies are already deploying traceability practices for specific products. In parallel, they both are in the process of digital transformation, which will help them to increase supply chain traceability, transparency, quality, speed and efficiency.
Practices regarding suppliers’ and external partners’ selection are reported in the continuity category. According to an interviewee from SB, “There are guiding principles for all suppliers which include a wide range of requirements such as the confirmation that children are not working at a supplier’s company”. SB is implementing a “continuous development” approach, which deploys corrective actions to ensure that all suppliers comply with the company’s environmental, social and labour policy. Furthermore, the data suggest that partnering with reliable suppliers, especially in quality and safety issues, is necessary for a continuous relationship.
Strategic orientation
As reported, both companies are engaged in strategic supply chain management, which promotes the balance among environmental, economic and social issues. The data reveal that an SSCM strategy was already in place and three common characteristics were identified. First, a continuous business model alignment with economic, environmental and social issues is in place. For example, SB has re-designed a series of their products towards reducing plastic in packaging and this resulted in environmental and economic benefits, while at the same time allowed the company to apply similar techniques to other products. This is consistent with previous studies that found that alignment of environmental, social and economic goals is needed for managerial orientation towards sustainability [ 25 ]. The second and third component is that both companies treat suppliers as key strategic partners and focus on strategic sustainability issues related to the local communities.
Risk management
The implementation of management systems is used as a risk management tool for both companies. Food quality management systems (e.g., ISO 22000), environmental management systems (e.g., 14001) and health and safety (OHASAS 18001) are identified as key risk analysis tools. Furthermore, a strict supplier selection criteria system is supporting the risk management practices along with supplier monitoring through tactical inspections. Apart from the risk mitigation outcomes, tactical inspections are a pre-requisite for the successful interaction and long-term relationships among the supply chain members.
In this group of practices, the key component is to go beyond compliance with current legislation requirements by engaging in more advanced sustainable practices. Product innovation (e.g., products with reduced calories) and process innovation especially in the logistics domain are identified as key for SSCM. Supplier codes of conduct, including environmental, health and safety, labour and social issues, as well as partners’ coaching to adopt and implement SSCM practices are also included in proactive practices. Finally, energy- and water-saving practices and efficient fleet management are implemented to reduce the negative outcomes. Another set of practices that is related to proactivity, as stated by the CSR Manager of the SB and the Logistics Project Manager of the SM, is employee welfare, human rights practices, and the supporting actions for young people and local communities.
Pioneering SSCM Practices
- Conversation
Sustainability is part of the daily conversation in the two companies. Discussions of noneconomic issues is shared across all departments. As the CSR Manager of the SB company mentioned, “the basic principle in our company is social and environmental responsibility in our daily transactions”. Daily conversations about sustainability issues are part of all decision-making processes in a way that all employees consider social and/or environmental impacts of their decisions. As ref. [ 25 ] (p. 51) proposed, “management orientation is evidenced by sustainability being part of the day-to-day conversation”.
- Local sourcing
Local sourcing was evidenced by a focus on sourcing from Greek suppliers in more than 80%. Clear sustainability benefits of local sourcing include minimization of transport, increase of freshness and contributions to environmental and social improvements.
- Investing in Human Resources
Investing in human resources is considered a key SSCM practice. As in previous studies on sustainability leaders [ 25 ], the internal focus in this sample is on employee investments. Both companies provided information regarding their programmes for employee training, skills development and benefits. They both recognised positive outcomes regarding the employees’ personal development and well-being and their commitment to the organisations’ goals. As an interviewee mentioned, “investing in employee training and development not only serves as a motivation, but it also enables the organization to create a highly skilled workforce”.
3.2.3. Performance
By analysing the companies’ records, it became evident that sustainability performance was measured through specific indicators and standards. More specifically, both companies follow the GRI and UN Global Compact principles. This is evidenced by the sustainability reports, which reveal that the companies are adapting to international sustainability reporting standards. This should be no surprise, since both companies are sustainability leaders.
Both companies have mentioned that SSCM is related to a direct increase in costs. Many of the aforementioned practices, apart from the financial resources, include investments in human, and time resources. For example, practices regarding suppliers’ and external partners’ selection, such as the suppliers guiding principles of the SB, which require the confirmation that children are not working at the supplier’s company, as well as the tactical supplier inspections, increase costs. However, as the CSR Manager of SB mentioned, “sometimes you pay more to have the best suppliers and this contributes to added value for costumers, which increases customer loyalty”. Supporting local suppliers to adopt SSCM practices (employee protection and security, human rights, etc.) also contributes to the local economy through indirect job creation.
On the contrary, energy-saving practices are found to have a positive financial impact by means of cost reduction, which increases the profit rates. This is due to the fact that energy-efficiency investments are producing results from the first day of implementation. For instance, both companies have invested huge amounts in LED lighting, which is considered a highly energy-efficient technology.
Quality improvement is another important economic factor that both companies are engaged in. For instance, SM has mentioned that compliance with quality standards and reduction of defective products are key quality measures.
Not surprisingly, sales and market share, is also found to be a key economic measure. Other measures discussed under the economic dimension are the annual R&D investments, productivity, delivery time and flexibility.
As expected from both companies, as sustainability leaders, they have environmental performance systems in place that manage not only the environmental “basic” indicators (hazardous/harmful/toxic materials, energy, water, CO 2 emissions, compliance to standards, environmental accidents and use of recycled materials) but the advanced ones as well, such as the re-design of products towards a reduction in plastic and the reuse of it through circular processes. A key characteristic of both companies is that most of the indicators are measured at the organizational level. For example, energy use is measured in both companies’ facilities but not in their suppliers’ operations. It is also reported that the energy consumed comes from renewable energy sources at a level of 100% in SB’s facilities and 97% in SM’s facilities. Managers from SM have reported that the company is planning to measure the indirect emissions of its supply chain. As [ 9 ] propose, a useful tool to measure the impact of a supply chain as a whole is life-cycle analysis (LCA).
A variety of other measures have addressed themes such as waste recovery [ 20 ], waste [ 79 , 87 , 88 ], environmental management systems, eco-design [ 7 , 89 , 90 ] biodiversity [ 87 , 91 ], etc.
In the social sustainability dimension, the data suggested indicators such as product safety, employee accident rates, employee training rates, health and safety issues, employment contribution, employee benefits, loyalty and turnover rate, corporate image, human rights screening (suppliers and contractors) and community support. Several projects both internal and external are implemented in both companies. For example, an excellent working environment that is fair, safe and enjoyable with prospects for development (such as job rotation, promotions, new roles, etc.) is a key performance measure for SB. From an external point of view, supplier social assessment is performed from SB regarding the suppliers’ human right policies and broader social issues. Furthermore, SM reported that local community support in the form of volunteering or charity actions is another key performance indicator.
Table 3 presents the SSCM aspects as identified in the case study.
Aspects of SSCM as identified in the case study.
Constructs | SSCM Aspects as Identified in the Case Study |
---|---|
Critical Factors | |
Firm Level | |
Supply Chain Level | |
External Level | |
SSCM practices | |
Traditional practices | |
Collaboration | |
Continuity | |
Strategic orientation | |
Risk management | |
Pro-activity | |
Pioneering practices | |
HR investments | |
Daily conversation | |
Local sourcing | |
SSCM Performance | |
Economic | |
Environmental | Emissions |
Social |
3.3. Discussion
The results of this study offer empirical evidence regarding the identified constructs and their interrelationships. More specifically, the data analysis suggests a model of SSCM in the food industry, providing a first step toward defining three constructs (critical factors, practices and performance) that can create sustainability in the food industry. The proposed model is depicted in Figure 3 .
![Click on image to zoom An external file that holds a picture, illustration, etc.
Object name is foods-11-02295-g003.jpg](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367897/bin/foods-11-02295-g003.jpg)
Conceptual model of sustainable supply chain management in the food industry.
The model is developed based on the extant literature and the case study data. Figure 3 presents specific relationships between the constructs, which contribute to a better understanding of SSCM in the food industry. In the following paragraphs, the relationships of the proposed constructs are conceptualized in propositions that need to be tested in future research.
The ability of a company to identify and understand the factors that enable and inhibit the creation of sustainability across supply chain is critical for SSCM. A variety of SSCM critical factors is identified and categorized at the firm level, the supply chain level and the external level. These factors are linked to the implementation of SSCM practices. In line with prior literature, the commitment of top management or the knowledge and expertise regarding sustainability are identified as important firm-level critical factors for SSCM. For example, ref. [ 1 , 35 ] suggest that the lack of top management commitment and support hinder the development of SSCM. SSCM requires “proactive top management that understands that sustainability is an organizational commitment” [ 25 ] (p. 40).
At the supply chain level there is evidence that information sharing and trust between partners are two of the key critical factors for implementing SSCM. The literature posits that that information sharing enables the development of new ideas regarding sustainability and enhances collaboration throughout the supply chain [ 18 ]. On the opposite side, the lack of information sharing is found to have a negative impact on SSCM implementation [ 41 , 42 ].
Regarding the external environment, three key factors have been confirmed by the dataset: compliance with international and national regulations, stakeholder management and reduction in actual and reputational risk. The identification, engagement and communication with customers, local community and NGOs were reported as critical factors for the successful implementation of SSCM practices. This is consistent with prior literature which confirmed that stakeholders are driving forces for the integration of SSCM practices [ 19 ]. Especially in the food retail industry NGO pressure is critical for the adoption of SSCM [ 53 ].
Based on the above, the first set of propositions is developed below.
SSCM critical factors are directly related to the implementation of SSCM practices.
Firm-level critical factors are directly related to the implementation of SSCM practices.
Supply chain-level critical factors are directly related to the implementation of SSCM practices.
External critical factors are directly related to the implementation of SSCM practices.
Considering the adopted SSCM practices, the findings suggest two main groups, namely, the traditional SSCM practices and the pioneering SSCM practices. Traditional SSCM practices include the five categories proposed in the literature. This is not a surprise, since the sample of this study is comprised by leaders in sustainability. In this case study, the SSCM practices as proposed by [ 11 ] are used as a key starting point and as a guiding tool for developing a model of SSCM in the food industry. What is interesting in this case study, is the possible trade-offs between the SSCM practices. For example, the focus on supplier continuity requires long-term relationships which is a key element of collaboration. This is also consistent with prior literature which suggests that supply base continuity long-term relationships are critical for the successful implementation of SSCM [ 108 ]. Continuity was also evidenced by a focus on supplier risk management. Both companies have in place a supplier selection criteria system, which is also related to the supplier codes of conduct that comprise environmental, health and safety, labour and social issues. Regarding the three identified pioneering SSCM practices (conversation, local sourcing and HR investments), it should be noted that they could have been encompassed in the traditional SSCM practices. However, it was decided to be separately presented since both companies engage in these practices in significant amounts. Furthermore, the purpose was to show what sustainability leaders in the food industry are doing regarding SSCM. In no way do these three practices constitute something new or unique.
The findings underline that SSCM performance is linked to SSCM practices. Despite the fact that all participants agreed on a direct increased cost of implementing SSCM, their general perspective was that SSCM practices have the ability to enhance environmental and social performance. This is also supported by [ 6 ], who found that environmentally friendly purchasing and sustainable packaging have a positive effect on sustainable performance. Another example based on the results is food safety, which is linked to improved sustainability and can be achieved through traceability practices. Evidence of similar results is also provided by [ 34 ], who found that traceability practices in the meat supply chain are closely associated with social sustainability and food safety. It can also be argued that traceability is the end-result of sharing information, which is related to enhanced supply chain performance [ 25 ]. Based on the above observations, the following propositions are developed.
SSCM practices are positively associated with sustainability performance.
Strategic orientation is positively associated with sustainability performance .
Continuity is positively associated with sustainability performance.
Collaboration is positively associated with sustainability performance.
Risk management is positively associated with sustainability performance .
Pro-activity is positively associated with sustainability performance.
Conversation, is positively associated with sustainability performance.
Local sourcing, is positively associated with sustainability performance.
Investing in HR is positively associated with sustainability performance.
Another interesting finding is the interrelationships between the three dimensions of sustainability performance. The data suggest that environmental performance improvements, such as energy efficiency practices, have visible cost reductions in the short term. This contradicts the results of [ 24 ], who found that in the food industry environmental performance is not affecting costs directly. Continuing with a study in the Italian meat supply chain, ref. [ 34 ] found that SSCM practices, such as cleaner technologies, offer a competitive advantage, since they contribute to improved economic and environmental or social performance. Ref. [ 109 ] also found a positive correlation between corporate social performance and corporate financial performance. Based on the above arguments, the following propositions are developed.
Environmental performance is positively associated to economic performance.
Social performance is positively associated to economic performance.
4. Conclusions
4.1. theoretical contributions.
This research has examined the SSCM critical factors, practices and performance through a literature review and a case study comprised of sustainability leaders in the food industry. The study has identified the SSCM critical factors and practices that sustainability leaders implement and what measures are used in sustainability performance in the food industry. In line with ref. [ 32 ], who highlights the deductive nature of case studies, this research investigated the applicability and validity of the three SSCM constructs as identified in the literature review, in a specific Greek food supply chain. The case study implies direct and indirect links among the three key constructs, namely, SSCM critical factors, SSCM practices and sustainability performance. Furthermore, in line with the developed propositions, the three constructs are conceptualised within a model that needs to be quantitatively tested.
It can be argued that it is not a surprise that the two sustainability leaders are more committed to SSCM. Both have identified common factors that are critical for developing SSCM practices. This study has also identified a new set of pioneering SSCM practices in the Greek food industry. Daily conversations, local sourcing and investing in HR are common practices for SSCM leaders in the Greek food supply chain, however industry specific.
The developed SSCM conceptual model can be exploited by researchers that wish to investigate the proposed constructs individually or together, both at the firm level and the supply chain level, and either through quantitative (surveys) or qualitative research methods (replicate the case study in other geographical locations or other industries). Researchers may also take advantage of the developed model and use it as an evaluation framework or as an SSCM roadmap for the design of future research projects.
4.2. Managerial Implications
Apart from the theoretical contributions, this study provides some managerial implications regarding the deployment of the proposed model. While the identified constructs in this research are not new and can be characterized as SSCM traditional, they have been studied in a food supply chain considering all the three sustainability dimensions. The developed model can be used by companies in the food industry that want to promote or determine the best way to develop SSCM and improve their sustainability performance. The results can be utilized by food industry professionals and assist them in the development of SSCM by identifying the critical factors of SSCM implementation, the practices adopted, and the sustainability performance measures.
4.3. Limitations and Future Research Directions
This study, as in any other research, suffers from limitations that will be presented along with future research propositions. First, the sample is small, industry and location specific, and the results cannot be transferred or used to generalize the overall food industry. Future studies may conduct research in other industries or world regions, using larger samples, in order to achieve generalization of the results. Second, this study focused on food sustainability leaders. It is likely that in more typical organisations—not sustainability leaders—different SSCM factors, practices and performance measures will be identified. Third, the traditional and pioneering practices should be investigated in other industries to check their applicability as well as the possible trade-offs. Finally, in this study, specific interrelationships among the constructs are addressed. However, the small sample does not allow for deeper investigations. Future research should examine the importance of each of the constructs and the strength of their inter-relationships.
Interview Protocol
- (1) General information about the company
- What are the factors that push the company to implement SSCM practices?
- What are the factors that hinder the company to implement SSCM practices?
Supply chain continuity
Pro-activity
- What measures/indicators does your company use to measure SSCM performance?
- How has the implementation of SSCM practices affected the environmental, social and economic performance of your company?
- Is there any observed relationship between environmental, social and economic performance (win–win, win–lose)?
Funding Statement
This research received no external funding.
Author Contributions
Conceptualization, T.M. and K.G.; methodology, T.M. and K.G.; validation, T.M. and K.G.; formal analysis, T.M.; investigation, T.M.; resources, T.M.; data curation, T.M. and K.G.; writing—original draft preparation, T.M.; writing—review and editing, T.M. and K.G.; visualization, T.M.; supervision, K.G.; project administration, T.M. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted based on the principles of the Committee for Research Ethics of the University of Macedonia, that was established according to Chapter E’ (Articles 21–27) of Law 4521 (Government Gazette vol. A ’38/2-3-2018).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Conflicts of interest.
The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
A Systematic Review of Sustainable Supply Chain Management Practices in Food Industry
- Conference paper
- First Online: 15 November 2021
- Cite this conference paper
- Federica Minardi 18 ,
- Valérie Botta-Genoulaz 18 &
- Giulio Mangano 19
Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 629))
Included in the following conference series:
- Working Conference on Virtual Enterprises
2083 Accesses
The food industry is central to human beings and heavily impacts the lives of the entire society. Nowadays, the sustainable development goal and the introduction of new information and communication technologies has led food companies to deal with this new paradigm. They require sustainable practices that have the dual objective of improving the overall performance of the company itself and fulfilling the sustainability requirement. Research works on sustainable supply chain management practices in the food industry is quite fragmented, as it often considers just a part of the chain. Therefore, through a systematic literature review, this paper aims to provide an up-to-date analysis of supply chain management practices within the scope of sustainability, studying the findings of 224 reviewed papers. The implications of this work are relevant for academic research as they enlarge the body of knowledge and highlight key points where there is the need to investigate further. From a practical point of view this study proposes an overview of the most common and adopted practices that can be implemented in order to achieve sustainable development in the food industry.
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Minardi, F., Botta-Genoulaz, V., Mangano, G. (2021). A Systematic Review of Sustainable Supply Chain Management Practices in Food Industry. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds) Smart and Sustainable Collaborative Networks 4.0. PRO-VE 2021. IFIP Advances in Information and Communication Technology, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-030-85969-5_2
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Animals searching for food must navigate through complex landscapes with varying terrain, food availability, predator activity, and shelter. One method for analyzing how foraging animals balance these competing interests is Optimal Foraging Theory, which posits that foragers make decisions that maximize some expected reward or utility. However, models have generally focused on simplified settings, especially regarding animal movement decisions, either ignoring spatial variability entirely or limiting the forager’s options to choosing among a few discrete habitat patches (or patch types) that are modeled as spatially uniform. In this paper, we present a model of optimal foraging in a continuous landscape for an animal that is subject to predation. Foraging animals thus must choose not only where to gather food, but also how to (safely) travel across the landscape. Furthermore, we explicitly model stochastic predator interactions, allowing us to predict optimal foraging trajectories conditional on the presence or absence of an immediate threat from a predator. We illustrate our model with numerical examples, one a hypothetical landscape with two regions of high food abundance and two areas of high predation risk on the direct route between the feeding areas and the forager’s overnight refuge, the other inspired by empirical data on foraging Samango monkeys ( Cercopithecus albogularis schwarzi ). We find that the shape of a forager’s utility function affects not only where it chooses to feed, but also the paths it takes to and from the optimal feeding ground. Thus, examining predicted optimal trajectories can provide additional information about what quantity, if any, animals optimize while foraging. We also develop and demonstrate a preliminary model for an animal that depletes the food supply in its local environment.
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Two decades of advancements in cold supply chain logistics for reducing food waste: a review with focus on the meat industry.
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1. Introduction
Objective and scope of study.
- What is the current state of the art on beef CSCL in terms of management, sustainability, network design, and the use of information technologies for red meat waste reduction?
- To provide an overview of the current state of the art and to identify the gaps and contemporary challenges to red meat waste reduction;
- To identify key research themes and their potential role and associated elements in mitigating red meat waste reduction, especially across the beef CSCL systems;
- To pinpoint the directions in each theme that warrant further research advancement.
2. Materials and Methods
2.1. literature retrieval and selection, 2.2. extracting the research themes, 3.1. the literature review identified themes and subjects, 3.2. the literature’s evolution and descriptive results, 3.3. management, 3.3.1. logistics management and chronological evolution, 3.3.2. management and regulations, 3.3.3. management and collaboration, 3.3.4. management and costs, 3.3.5. management and inventory, 3.3.6. management and decision-making, 3.3.7. management and risks, 3.3.8. management and waste reduction, 3.3.9. management and information, 3.3.10. management and cold chain deficiencies, 3.4. sustainability, 3.4.1. sustainability and closed-loop scs (clscs), 3.4.2. sustainability and business models, 3.4.3. sustainability and wastage hotspots, 3.4.4. sustainability and packing, 3.4.5. sustainability and information flow, 3.5. network design optimisation, 3.5.1. network design and decision levels, 3.5.2. network design and the location–inventory problem, 3.5.3. network design and routing-inventory problem, 3.5.4. network design and the location routing problem, 3.5.5. network design and the integrated location–inventory routing problem, 3.5.6. network design and sustainability, 3.5.7. network design and information flow, 3.6. information technologies, 3.6.1. it and meat sc transformation, 3.6.2. emerging information technologies and meat scs, technical instruments, technological systems, 4. discussion, 4.1. management, 4.2. sustainability, 4.3. network design, 4.4. information technology, 5. conclusions.
- Management: ◦ Effective management practices are crucial for addressing FLW in beef CSCL systems. ◦ There is a notable transition from LM to FLM and SFLM, with the potential for emerging technologies to create an “Intelligent Sustainable Food Logistics Management” phase. ◦ Suboptimal management practices continue to contribute significantly to FLW, underscoring the need for enhanced strategies and adherence to regulations and standards.
- Sustainability: ◦ Sustainability in beef CSCL involves addressing social, economic, and environmental benefits. ◦ Reducing FLW can lead to increased profits, improved customer satisfaction, public health, equity, and environmental conservation by minimising resource use and emissions. ◦ Comprehensive research integrating all sustainability dimensions is needed to fully understand and mitigate FLW. Current efforts often address only parts of sustainability. A more holistic approach is required to balance environmental, economic, and social dimensions effectively.
- Network Design: ◦ Effective network design and optimisation are pivotal in reducing FLW within beef CSCL systems. ◦ There is a necessity for integrating all three levels of management decisions in the logistics network design process. Decision levels in network design must be considered to understand trade-offs among sustainability components in this process. ◦ Future research should focus on integrating management decisions and network design, CSCL uncertainties, sustainability dimensions, and advanced technologies to enhance efficiency and reduce waste in beef CSCL systems.
- Information Technologies: ◦ Information technologies such as Digital Twins (DTs) and Blockchain (BC) play a significant role in improving efficiency and reducing FLW in beef CSCL. ◦ The integration of these technologies can enhance understanding of fluid dynamics, thermal exchange, and meat quality variations, optimising the cooling process and reducing energy usage. ◦ Challenges like data security and management efficiency need to be addressed to maximise the benefits of these technologies.
Author Contributions
Data availability statement, acknowledgments, conflicts of interest.
Scholar, Ref. | Year | Subject | Objectives I | II | Methodology | Industry (Product) | Measures to Reduce FLW |
---|---|---|---|---|---|---|---|
Gunasekaran et al. [ ] | 2008 | Logistics management | To improve the responsiveness of SCs | To increase the competitiveness of SCs | Group Process and Analytical Hierarchy Process | Multi-industry | - |
Dabbene et al. [ ] | 2008 | Food logistics management | To minimise logistic costs | To maintain food product quality | Stochastic optimisation | Fresh food | - |
Lipinski et al. [ ] | 2013 | Food logistics management | To minimise the costs associated with food waste | To reduce food waste | Qualitative analysis | Food products | Proposing appropriate strategies |
van der Vorst et al. [ ] | 2011 | Food logistics management | To improve the competitiveness level, maintaining the quality of products | To improve efficiency and reduce food waste levels | Qualitative analysis | Agrifood products | The development of a diagnostic instrument for quality-controlled logistics |
Soysal et al. [ ] | 2012 | Sustainable logistics management | To enhance the level of sustainability and efficiency in food supply chains | To reduce FLW levels | Qualitative analysis | Food supply chains | The analysis of existing quantitative models, contributing to their development |
Bettley and Burnley [ ] | 2008 | Sustainable logistics management (SLM) | To improving environmental and social sustainability | To reduce costs and food waste | Qualitative analysis | Multi-industry | application of a closed-loop supply chain concept to incorporate sustainability into operational strategies and practices |
Zokaei and Simons, [ ] | 2006 | SML, Collaboration, Regulation, Cost, Inventory, Waste reduction, Information sharing, | To introduce the food value chain analysis (FVCA) methodology for improving consumer focus in the agri-food sector | To present how the FVCA method enabled practitioners to identify the misalignments of both product attributes and supply chain activities with consumer needs | Statistical analysis/FVCA | Red meat | Suggesting the application of FVCA can improve the overall efficiency and reduce the waste level |
Cox et al. [ ] | 2007 | SML, Cost, Decision-making, Risks, Waste reduction, Sustainability | To demonstrate the proactive alignment of sourcing with marketing and branding strategies in the red meat industry | To showcase how this alignment can contribute to competitive advantage in the food industry | Qualitative | Beef and Red meat | Emphasising the role of the lean approach, identifying waste hotspots, and collaboration in reducing food loss and waste |
Jie and Gengatharen, [ ] | 2019 | SML, Regulation, Collaboration, Cost, Inventory, Waste reduction, Info. Sharing, IT, Sustainability, Sco | To empirically investigate the adoption of supply chain management practices on small and medium enterprises in the Australian food retail sector | To analyse the structure of food and beverage distribution in the Australian retail market | Statistical analysis | Food/Beef Meat Industry | Adopting lean thinking and improving information sharing in the supply chains |
Knoll et al. [ ] | 2017 | SML, Collaboration, Regulation, Cost, Inventory, Decision-making, Risks, Information sharing, Deficiencies, Network design | To characterise the supply chain structure | To identify its major fragilities | Qualitative | Beef meat | - |
Schilling-Vacaflor, A., [ ] | 2021 | Regulation, Sustainability | To analyse the institutional design of supply chain regulations | To integrate human rights and environmental concerns into these regulations | Qualitative | Beef and Soy Industries | - |
Knoll et al. [ ] | 2018 | Regulation, Collaboration, Cost, Risks, Deficiencies, Decision-making, Sustainability, Information sharing | To analyse the information flow within the Sino-Brazilian beef trade, considering the opportunities presented by the Chinese beef market and the vulnerabilities in the supply chain | To investigate the challenges and opportunities in the information exchange process between China and Brazil within the beef trade sector | Mixed method | Beef Industry | - |
E-Fatima et al. [ ] | 2022 | Regulation, Risks, Safety, Collaboration, Business model, Packing, information sharing | To critically examine the potential barriers to the implementation and adoption of Robotic Process Automation in beef supply chains | To investigate the financial risks and barriers to the adoption of RPA in beef supply chains | Mixed method | Beef supply chain | - |
Jedermann et al. [ ] | 2014 | Regulations and Food Safety | To reduce food loss and waste | To improve traceability | Qualitative analysis | Meat and Food products | Proposing appropriate strategies to improve quality monitoring |
Kayikci et al. [ ] | 2018 | Regulations, Sustainability, Waste reduction | To minimise food waste by investigating the role of regulations | To improve sustainability, social and environmental benefits | Grey prediction method | Red meat | Proposing circular and central slaughterhouse model and emphasising efficiency of regulations based on circular economy comparing with the linear economy model |
Storer et al. [ ] | 2014 | Regulation, Collaboration, Cost, Inventory, Decision-making, Risks, IT, Sustainability | To examine how forming strategic supply chain relationships and developing strategic supply chain capability influences beneficial supply chain outcomes | To understand the factors influencing the utilisation of industry-led innovation in the form of electronic business solutions | Mixed methods | Beef supply chain | - |
Liljestrand, K., [ ] | 2017 | Collaboration, FLW, Information sharing | To analyse sustainability practices adopted in collaboration, including vertical collaboration in the food supply chain | To explore the role of collaboration in tackling food loss and waste | Qualitative analysis | Meat and Food products | Investigating how Food Policy can foster collaborations to reduce FLW |
Mangla et al. [ ] | 2021 | Collaboration, food safety and traceability | To enhance food safety and traceability levels through collaboration lens | To examine traceability dimensions and decrease information hiding | Qualitative analysis | Meat and Food products | Offering a framework for collaboration role in reducing info hiding and FLW in the circular economy |
Liljestrand, K. [ ] | 2017 | Collaboration, FLW, Information sharing | To investigate the role of logistics management and relevant solutions in reducing FLW | To explore the role of collaboration in food supply chains | Qualitative analysis | Meat and Food products | Examining the role of collaborative forecasting in reducing food waste |
Esmizadeh et al. [ ] | 2021 | Cost and Network design | To investigate the relations among cost, freshness, travel time, and Hub facilities vs Distribution centres | To investigate the product perishability effect in the distribution phase under hierarchical hub network design | Deterministic optimisation | Meat and food products | - |
Cristóbal et al. [ ] | 2018 | Cost, FLW and Sustainability | To consider the cost factor in the planning to reduce FLW | To develop a method to reduce costs and FLW environmental effects and improve the sustainability level | Mixed method | Meat and Food products | Proposing novel methods and programmes for cost effective and sustainable FLW management |
Esmizadeh et al. [ ] | 2021 | Cost and Network design | To investigate the relations among cost, freshness, travel time, and Hub facilities vs Distribution centres | To investigate the product perishability effect in the distribution phase under hierarchical hub network design | Deterministic optimisation | Meat and food products | - |
Faisal. M. N., [ ] | 2015 | Cost, Risks, Regulations, Deficiencies, Collaboration, Decision-making, IT, Information sharing | To identify variables that act as inhibitors to transparency in a red meat supply chain | To contribute to making the supply chain more transparent | Mixed method | Red meat | - |
Shanoyan et al. [ ] | 2019 | Cost, Risks, Information sharing | To analyse the incentive structures at the producer–processor interface within the beef supply chain in Brazil | To assess the dynamics and effectiveness of incentive mechanisms between producers and processors in the Brazilian beef supply chain | Qualitative | Beef Industry | - |
Nakandala et al. [ ] | 2016 | Cost, Sustainability | To minimise transportation costs and CO emissions | To maximise product freshness and quality | Stochastic optimisation | Meat and food products | - |
Ge et al. [ ] | 2022 | Cost, Decision-making, | To develop an optimal network model for the beef supply chain in the Northeastern US | To optimize the operations within this supply chain | Mathematical modelling | Beef meat | - |
Hsiao et al. [ ] | 2017 | Cost, Inventory, Network design | To maximise distribution efficiency and customer satisfaction | ZTo minimise the quality drop of perishable food products/meat | Deterministic optimisation | Meat products | - |
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Magalhães et al. [ ] | 2020 | Inventory and FW | To identify FLW causes in the beef supply chain in Brazil and explore the role of inventory management strategies and demand forecasting in FLW issue | To investigate their interconnections | Mixed method | Beef meat industry | Providing a theoretical basis to implement appropriate FLW mitigation strategies |
Jedermann et al. [ ] | 2014 | Inventory and Food Safety | To reduce food loss and waste | To improve traceability | Qualitative analysis | Meat and Food products | Proposing appropriate strategies to improve quality monitoring |
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Rahbari et al. [ ] | 2021 | Decision-making and Network design | To minimise distribution cost, variable cost | To reduce inventory costs, the total cost | Deterministic optimisation | Red meat | - |
Taylor D.H., [ ] | 2006 | Decision-making, Cost Risks, Inventory, Waste Reduction, Deficiencies, Sustainability, Env. | To examine the adoption and implementation of lean thinking in food supply chains, particularly in the UK pork sector | To assess the environmental and economic impact of lean practices in the agri-food supply chain | Qualitative | Red meat | Suggesting the combination of Value Chain Analysis and Lean principles |
Erol and Saghaian, [ ] | 2022 | Risks, Cost, Regulation | To investigate the dynamics of price adjustment in the US beef sector during the COVID-19 pandemic | To analyse the impact of the pandemic on price adjustments within the US beef sector | Mixed method | Beef Industry | - |
Galuchi et al. [ ] | 2019 | Risks, Regulations, Sustainability, Soc., Env. | To identify the main sources of reputational risks in Brazilian Amazon beef supply chains | To analyse the actions taken by slaughterhouses to manage these risks | Mixed method | Beef supply chain | Mitigating risks |
Silvestre et al. [ ] | 2018 | Risks, Collaboration, Regulation, Management, Sustainability | To examine the challenges associated with sustainable supply chain management | To propose strategies for addressing identified challenges | Qualitative | Beef Industry | - |
Bogataj et al. [ ] | 2020 | Risks, Cost, Sustainability, Inventory | To maximise the profit | To improve sustainability performance | Mixed method | Beef industry | Incorporating the remaining shelf life in the decision-making process |
Nguyen et al. [ ] | 2023 | Risks, Waste reduction, Sustainability, Cost, Inventory | To improve the operational efficiency | To reduce carbon footprint and food waste | Statistical analysis | Beef industry | Identifying the root causes of waste and proposing a framework composed of autonomous agents to minimise waste |
Amani and Sarkodie, [ ] | 2022 | Risks, Information technologies, Sustainability | To minimise overall cost and waste | To improve the sustainability performance | Stochastic optimisation | Meat products | Incorporating artificial intelligence in the management context |
Klein et al. [ ] | 2014 | Risks, Information Technologies | To analyse the use of mobile technology for management and risk control | To identify drivers and barriers to mobile technology adoption in risk reduction | - | Beef meat | Introducing a framework that connects the challenges associated with the utilisation of mobile technology in SCM and risk control |
Gholami-Zanjani et al. [ ] | 2021 | Risk, ND, Inventory, Wastage Hot Spots, Sustainability | To reduce the risk effect and improve the resiliency against disruptions | To minimise environmental implications | Stochastic optimisation | Meat products | - |
Buisman et al. [ ] | 2019 | Waste reduction | To reduce food loss and waste at the retailer level | To improve food safety level and maximise the profit | Stochastic optimisation | Meat and Food products | Employing a dynamically adjustable expiration date strategy and discounting policy |
Verghese et al. [ ] | 2015 | Waste reduction, Information Technologies and Sustainability | To reduce food waste in food supply chains and relevant costs | To improve the sustainability performance | Qualitative analysis | Meat and Food products | Applying of information technologies and improved packaging |
Jedermann et al. [ ] | 2014 | Waste reduction | To reduce food loss and waste | To improve traceability | Qualitative analysis | Meat and Food products | Introducing some initiatives and waste reduction action plans |
Mohebi and Marquez, [ ] | 2015 | Waste reduction and Information Technologies | To improve the customer satisfaction and the quality of food products | To reduce food waste and loss | Qualitative analysis | Meat products | Proposing strategies and technologies for meat quality monitoring during the transport and storage phases |
Kowalski et al. [ ] | 2021 | Waste reduction and Information Technologies | To reduce food waste | To create a zero-waste solution for handling dangerous meat waste | Mixed method | Meat products | Recovering meat waste and transforming it into raw, useful materials |
Beheshti et al. [ ] | 2022 | Waste reduction, Network design, and Information Technologies | To reduce food waste by optimising the initial rental capacity and pre-equipped capacity required for the maximisation of profit | To optimise CLSCs and to improve cooperation level among supply chain stakeholders | Stochastic optimisation | Meat products | Applying optimisation across reverse logistics and closed-loop supply chains |
Albrecht et al. [ ] | 2020 | Waste reduction, IT, Decision-making, Inventory | To examine the effectiveness of sourcing strategy in reducing food loss and waste and product quality | To validate the applicability of the TTI monitoring system for meat products | Mixed method | Meat products | Applying of new information technologies in order to monitor the quality of products |
Eriksson et al. [ ] | 2014 | Waste reduction and Sustainability | To compare the wastage of organic and conventional meats | To compare the wastage of organic and conventional food products | Mixed method | Meat and perishable food products | Providing hints to reduce the amount of food loss and waste based on research findings |
Accorsi et al. [ ] | 2019 | Waste reduction, Decision support, Sustainability (Eco., Soc., Env.) | To address sustainability and environmental concerns related to meat production and distribution | To maximise the profit | Deterministic optimisation | Beef and meat products | Providing a decision-support model for the optimal allocation flows across the supply chain and a system of valorisation for the network |
Jo et al. [ ] | 2015 | Information technologies, Sustainability | To reduce food loss and waste levels, improve food traceability and sustainability | To minimise CO emissions | Mixed method | Beef meat products | Incorporating blockchain technology |
Ersoy et al. [ ] | 2022 | Information technologies, Sustainability, Food loss and Waste | To improve collaboration among multi-tier suppliers through knowledge transfer and to provide green growth in the industry | To improve traceability in the circular economy context through information technology innovations | Statistical analysis | Meat products | Suggesting a validated conceptual framework expressing the role of information technologies in information sharing |
Kler et al. [ ] | 2022 | Information technologies, Sustainability | To minimise transport CO emission level and food waste level | To improve traceability and demand monitoring levels | Data Analytics | Meat products | Employing information technologies (IoT) and utilising data analytics for optimising the performance |
Singh et al. [ ] | 2018 | IT, Information sharing, Waste reduction, Decision-making, and Packing | To explore the application of social media data analytics in enhancing supply chain management within the food industry | To investigate how social media data analytics can be utilised to improve decision-making processes and operational efficiency | Mixed method | Beef and food supply chain | Highlighting the role of content analysis of Twitter data obtained from beef supply chains and retailers |
Martinez et al. [ ] | 2007 | Deficiencies, Regulation, Cost, Inventory | To improve food safety | To lower regulatory cost | Statistical analysis | Meat and food products | - |
Kayikci et al. [ ] | 2018 | Deficiencies, Regulations, Waste reduction, Sustainability | To minimise food waste by investigating the role of regulations | To improve sustainability, social and environmental benefits | Grey prediction method | Red meat | Proposing circular and central slaughterhouse model and emphasising efficiency of regulations based on circular economy comparing with the linear economy model |
Nychas et al. [ ] | 2008 | Deficiencies, Waste reduction, Information Technologies | To characterise the microbial spoilage of meat samples during distribution | To assess the factors contributing to meat spoilage | Mixed method | Meat products | Identifying and discussing factors contributing to meat spoilage |
Sander et al. [ ] | 2018 | Deficiencies, Risks, Information Technologies | To investigate meat traceability by outlining the different aspects of transparency | To understand the perspectives of various stakeholders regarding BCT | Qualitative analysis | Meat products | - |
Scholar, Ref. | Year | Subject | Objectives I | II | Methodology | Industry (Product) | Measures to Reduce FLW |
---|---|---|---|---|---|---|---|
Mahbubi and Uchiyama, [ ] | 2020 | Eco, Soc., Evn., Management, Collaboration, IT, Information sharing | To identify the Indonesian halal beef supply chain’s basic system | To assess the sustainability level in the Indonesian halal beef supply chain | Life cycle assessment | Beef Industry | Identifying waste in different actors’ sections |
Bragaglio et al. [ ] | 2018 | Env., Management, Inventory, Decision-making | To assess and compare the environmental impacts of different beef production systems in Italy | To provide a comprehensive analysis of the environmental implications | Life cycle assessment | Beef Industry | - |
Zeidan et al. [ ] | 2020 | Env., Management, Collaboration, Cost | To develop an existence inductive theory | To study coordination failures in sustainable beef production | Qualitative | Beef Industry | - |
Santos and Costa, [ ] | 2018 | Env., Packing, Management, Cost, Regulations | To assess the role of large slaughterhouses in promoting sustainable intensification of cattle ranching in the Amazon and the Cerrado | To evaluate the environmental and social impacts of large slaughterhouses | Statistical Analysis | Beef Industry | - |
E-Fatima et al. [ ] | 2023 | Business model, Packing, Eco., Socio., Env., Management, Waste reduction | To investigate the financial risks and barriers in the adoption of robotic process automation (RPA) in the beef supply chains | To examine the potential influence of RPA on sustainability in the beef industry | Simulation | Beef Industry | Adopting Robotic Process Automation |
Huerta et al. [ ] | 2015 | Env., Packing, Waste Management, Waste | To assess the environmental impact of beef production in Mexico | To conduct a life cycle assessment of the beef production process | Life cycle assessment | Beef Industry | Suggesting utilising generated organic waste to produce usable energy |
Cox et al. [ ] | 2007 | Env., Business model, Packing, Management, Waste reduction, Information sharing, Cost, Risk | To explore the creation of sustainable strategies within red meat supply chains | To investigate the development of sustainable practices and strategies in the context of red meat supply chains | Qualitative | Red meat Industry | Proposing the adoption of lean strategies in the red meat supply chain industry |
Teresa et al. [ ] | 2018 | Eco., Env., Business model, Management, Deficiencies, Regulation, Collaboration, Cost | To provide current perspectives on cooperation among Irish beef farmers | To explore the future prospects of cooperation within the context of new producer organisation legislation | Qualitative | Beef Industry | Highlighting the role of legislation in the joint management of waste |
Kyayesimira et al. [ ] | 2019 | Eco., Waste hotspots, Management, Regulations | To identify and analyse the causes of losses at various post-harvest handling points along the beef value chain in Uganda | To estimate the economic losses incurred due to those factors | Statistical analysis | Beef Industry | Providing insights into potential improvements in the beef value chain management |
Ranaei et al. [ ] | 2021 | Env., Eco., Wastage hotspots Management, deficiencies, Waste reduction, Regulation, Collaboration | To identify the causes of meat waste and meat value chain losses in Iran | To propose solutions to reduce meat value chain losses | Qualitative | Meat/Red Meat Industry | Identifying the causes and hotspots of wastage points and proposing solutions |
Wiedemann et al. [ ] | 2015 | Env., Eco., Waste hotspots, Manag., Inventory | To assess the environmental impacts and resource use associated with meat export | To determine the environmental footprint | Life Cycle Assessment | Red meat Industry | Providing insights into potential improvements |
Pinto et al. [ ] | 2022 | Sustainability (Eco., Evo., Soc.) Management | To explore the sustainable management and utilisation of animal by-products and food waste in the meat industry | To analyse the food loss and waste valorisation of animal by-products | Mixed method | Meat products and industry | Employing the CE concept in the context of the meat supply chain suggested the development of effective integrated logistics for wasted product collection |
Chen et al. [ ] | 2021 | Sustainability (Env.) and Management | To identify existing similarities among animal-based supply chains | To measure the reduction effect of interventions applied | Mixed method | Beef meat and food products | Applying the food waste reduction scenario known to be effective in emission reduction |
Martínez and Poveda, [ ] | 2022 | Sustainability (Env.), Management | To minimise environmental impacts by exploring refrigeration system characteristics | To develop refrigeration systems-based policies for improving food quality | Mixed method | Meat and food products | - |
Peters et al. [ ] | 2010 | Sustainability (Env.), Wastage hotspots | To assess the environmental impacts of red meat in a lifecycle scope | To compare the findings with similar cases across the world | Life Cycle Impact Assessment | Beef meat and red meat | - |
Soysal et al. [ ] | 2014 | Sustainability (Env.), Wastage hotspots, Network Design | To minimise inventory and transportation costs | To minimise CO emissions | Deterministic optimisation | Beef meat | - |
Mohebalizadehgashti et al. [ ] | 2020 | Sustainability (Env.), Wastage hotspots, Network Design | To maximise facility capacity, minimise total cost | To minimise CO emissions | Deterministic optimisation | Meat products | - |
Fattahi et al. [ ] | 2013 | Sustainability (Env.), Packing, Management | To develop a model for measuring the performance of meat SC | To analyse the operational efficiency of meat SC | Mixed method | Meat products | - |
Florindo et al. [ ] | 2018 | Sustainability (Env.), Wastage hotspots, Management | To reduce carbon footprint | To evaluate performance | Mixed method | Beef meat | - |
Diaz et al. [ ] | 2021 | Sustainability (Env.), Wastage hotspots | To conduct a lifecycle-based study to find the impact of energy efficiency measures | To evaluate environmental impacts and to optimise the energy performance | Life Cycle Impact Assessment | Beef meat | Reconversing of Energy from Food Waste through Anaerobic Processes |
Schmidt et al. [ ] | 2022 | Sustainability (Env.), Wastage hotspots, Management, Information Technologies | To optimise the supply chain by considering food traceability, economic, and environmental issues | To reduce the impact and cost of recalls in case of food safety issues | Deterministic optimisation | Meat products | - |
Mohammed and Wang, [ ] | 2017 | Sustainability (Eco.) Management, Decision-making, Network design | To minimise total cost, To maximise delivery rate | To minimise CO emissions and distribution time | Stochastic optimisation | Meat products | - |
Asem-Hiablie et al. [ ] | 2019 | Sustainability (Env.), energy consumption, greenhouse gas | To quantify the sustainability impacts associated with beef products | To identify opportunities for reducing its environmental impacts | Life cycle assessment | Beef industry | - |
Bottani et al. [ ] | 2019 | Sustainability (Eco., and Env.), Packaging, Waste management | To conduct an economic assessment of various reverse logistics scenarios for food waste recovery | To perform an environmental assessment for them | Life cycle assessment | Meat and food industry | Examining and employing different reverse logistics scenarios |
Kayikci et al. [ ] | 2018 | Sustainability (Eco., Soc., Env.) Management, Regulations, Waste reduction | To minimise food waste by investigating the role of regulations | To improve sustainability, social and environmental benefits | Grey prediction method | Red meat | Proposing circular and central slaughterhouse model and emphasising efficiency of regulations based on circular economy comparing with the linear economy model |
Tsakiridis et al. [ ] | 2020 | Sustainability (Env.), Information technologies | To compare the economic and environmental impact of aquatic and livestock products | To employ environmental impacts into the Bio-Economy model | Life cycle assessment | Beef and meat products | - |
Jo et al. [ ] | 2015 | Sustainability (Eco. and Env.), Management, Cost, Food Safety, Risks, Information Technologies | To reduce food loss and waste levels, improve food traceability and sustainability | To minimise CO emissions | Mixed method | Beef meat products | Incorporating blockchain technology |
Jeswani et al. [ ] | 2021 | Sustainability (Env.), Waste management | To assess the extent of food waste generation in the UK | To evaluate its environmental impacts | Life cycle assessment | Meat products | Quantifying the extent of FW and impact assessment |
Accorsi et al. [ ] | 2020 | Sustainability (Eco. and Env.), Waste Management, Decision-making, Network design (LIP) | To reduce waste and enhance sustainability performance | To assess the economic and environmental implications of the proposed FSC | Deterministic optimisation | Meat and food industry | Designing a closed-loop packaging network |
Chen et al. [ ] | 2021 | Sustainability (Env.) and Waste Management | To identify the environmental commonality among selected FSCs | To measure the reduction effect of novel interventions for market characteristics | Life cycle assessment | Beef meat and food products | Confirming the efficiency of food waste management and reduction scenario |
Sgarbossa et al. [ ] | 2017 | Sustainability (Eco., Evo., Soc.) Network design | To develop a sustainable model for CLSC | To incorporate all three dimensions of sustainability | Deterministic optimisation | Meat products | Converting food waste into an output of a new supply chain |
Zhang et al. [ ] | 2022 | Sustainability (Eco. and Env.), Packaging, Network design | To maximise total profit | To minimise environmental impact, carbon emissions | Stochastic optimisation | Meat and food products | Using Returnable transport items instead of one-way packaging |
Irani and Sharif., [ ] | 2016 | Sustainability (Soc.) Management, IT | To explore sustainable food security futures | To provide perspectives on FW and IT across the food supply chain | Qualitative analysis | Meat and food products | Discussing potential strategies for waste reduction |
Martindale et al. [ ] | 2020 | Sustainability (Eco. and Env.), Management, food safety, IT (BCT) | To develop CE theory application in FSCs by employing a large geographical database | To test the data platforms for improving sustainability | Mixed method | Meat and food products | - |
Mundler, and Laughrea, [ ] | 2016 | Sustainability (Eco., Env., Soc.) | To evaluate short food supply chains’ contributions to the territorial development | To characterise their economic, social, and environmental benefits | Mixed method | Meat and food products | - |
Vittersø et al. [ ] | 2019 | Sustainability (Eco., Env., Soc.) | To explore the contributions of short food supply chains to sustainability | To understand its impact on all sustainability dimensions | Mixed method | Meat and food products | - |
Bernardi and Tirabeni, [ ] | 2018 | Sustainability (Eco., Env., Soc.) | To explore alternative food networks as sustainable business models | To explore the potentiality of the sustainable business model proposed | Mixed method | Meat and food products | Emphasising the role of accurate demand forecast |
Bonou et al. [ ] | 2020 | Sustainability (Env.) | To evaluate the environmental impact of using six different cooling technologies | To conduct a comparative study of pork supply chain efficiency | Life cycle assessment | Pork products | - |
Apaiah et al. [ ] | 2006 | Sustainability (Env.), Energy consumption | To examine and measure the environmental sustainability of food supply chains using exergy analysis | To identify improvement areas to diminish their environmental implications | Exergy analysis | Meat products | - |
Peters et al. [ ] | 2010 | Sustainability (Env.), energy consumption, greenhouse gas | To assess greenhouse gas emissions and energy use levels of red meat products in Australia | To compare its environmental impacts with other countries | Life cycle assessment | Red meat products | - |
Farooque et al. [ ] | 2019 | Sustainability (Env., and Eco.) Management, Regulation, Collaboration | To identify barriers to employing the circular economy concept in food supply chains | To analyse the relationship of identified barriers | Mixed method | Food products | Employing the CE concept in the context of the food supply chain |
Kaipia et al. [ ] | 2013 | Sustainability (Eco. and Env.) Management, Inventory, Information Technologies | To improve sustainability performance via information sharing | To reduce FLW level | Qualitative analysis | Food products | Incorporating demand and shelf-life data information sharing effect |
Majewski et al. [ ] | 2020 | Sustainability (Env.) and Waste management | To determine the environmental impact of short and longfood supply chains | To compare the environmental sustainability of short and long-food supply chains | Life cycle assessment | Food products | - |
Rijpkema et al. [ ] | 2014 | Sustainability (Eco. and Env.) Management, Waste reduction, Information Technologies | To create effective sourcing strategies for supply chains dealing with perishable products | To provide a method to reduce food waste and loss amounts | Simulation model | Food products | Proposing effective sourcing strategies |
Scholar, Ref. | Year | Modelling Stages: Single or Multi | Solving Approach | Objectives I | II/III | Model Type | Supply Chain Industry (Product) | Main Attributes |
---|---|---|---|---|---|---|---|---|
Domingues Zucchi et al. [ ] | 2011 | M | Metaheuristic/GA and CPLEX | To minimise the cost of facility installation | To minimise costs for sea and road transportation | MIP | Beef meat | LP |
Soysal et al. [ ] | 2014 | S | ε-constraint method | To minimise inventory and transportation cost | To minimise CO emissions | LP | Beef meat | PIAP |
Rahbari et al. [ ] | 2021 | M | GAMS | To minimise total cost | To minimise inventory, transport, storage costs | MIP | Red meat | PLIRP |
Rahbari et al. [ ] | 2020 | S | GAMS | To minimise total cost | MIP | Red meat | PLIRP | |
Neves-Moreira et al. [ ] | 2019 | S | Metaheuristic | To minimise routing cost | To minimise inventory holding cost | MIP | Meat | PRP |
Mohammadi et al. [ ] | 2023 | S | Pre-emptive fuzzy goal programming | To maximise total profit | To minimise adverse environmental impacts | MINLP | Meat/Perishable food products | LIP |
Mohebalizadehgashti et al. [ ] | 2020 | S | ε-constraint method | To maximise facility capacity, minimise total cost | To minimise CO emissions | MILP | Meat | LAP |
Mohammed and Wang, [ ] | 2017a | S | LINGO | To minimise total cost | To minimise number of vehicles/delivery time | MOPP | Meat | LRP |
Mohammed and Wang, [ ] | 2017b | S | LINGO | To minimise otal cost, to maximise delivery rate | To minimise CO emissions and distribution time | FMOP | Meat | LRP |
Gholami Zanjani et al. [ ] | 2021 | M | Metaheuristic | To improve the resilience and sustainability | To minimise inventory holding cost | MP | Meat | IP |
Tarantilis and Kiranoudis, [ ] | 2002 | S | Metaheuristic | To minimise total cost | To maximise the efficiency of distribution | OMDVRP | Meat | LRP |
Dorcheh and Rahbari, [ ] | 2023 | M | GAMS | To minimise total cost | To minimise CO emissions | MP | Meat/Poultry | IRP |
Al Theeb et al. [ ] | 2020 | M | Heuristic CPLEX | To minimise total cost, holding costs, and penalty cost | To maximise the efficiency of transport and distribution phase | MILP | Meat/Perishable food products | IRP |
Moreno et al. [ ] | 2020 | S | Metaheuristic/hybrid approach | To maximise the profit | To minimise the costs, delivery times | MIP | Meat | LRP |
Javanmard et al. [ ] | 2014 | S | Metaheuristic/Imperialist competitive algorithm | To minimise inventory holding cost | To minimise total cost | NS | Food and Meat | IRP |
Ge et al. [ ] | 2022 | S | Heuristic algorithm | To develop an optimal network model for the beef supply chain in the Northeastern US | To optimize the operations within this supply chain | MILP | Beef meat | LRP |
Hsiao et al. [ ] | 2017 | S | Metaheuristic/GA | To maximise distribution efficiency and customer satisfaction | To minimise the quality drop of perishable food products/meat | MILP * | Meat/Perishable food products | LRP |
Govindan et al. [ ] | 2014 | M | Metaheuristic/MHPV | To minimise carbon footprint | To minimise of the cost of greenhouse gas emissions | MOMIP * | Perishable food products | LRP |
Zhang et al. [ ] | 2003 | S | Metaheuristic | To minimise cost, food safety risks | To maximise the distribution efficiency | MP * | Perishable food products | LRP |
Wang and Ying, [ ] | 2012 | S | Heuristic, Lagrange slack algorithm | To maximise the delivery efficiency | To minimise the total costs | MINLP * | Perishable food products | LRP |
Liu et al. [ ] | 2021 | S | YALMIP toolbox | To minimise cost and carbon emission | To maximise product freshness | MP/MINLP | Perishable food products | LIRP |
Dia et al. [ ] | 2018 | S | Metaheuristic/GA | To minimise total cost | To reduce greenhouse gas emissions/maximise facility capacity | MINLP | Perishable food products | LIP |
Saragih et al. [ ] | 2019 | S | Simulated annealing | To fix warehouse cost | To minimise nventory cost, holding cost, and total cost | MINLP | Food products | LIRP |
Biuki et al. [ ] | 2020 | M | GA and PSO | To incorporate the three dimensions of sustainability | To minimise total cost, maximise facility capacity | MIP * | Perishable products | LIRP |
Hiassat et al. [ ] | 2017 | S | Genetic algorithm | To implement facility and inventory storage cost | To minimise routing cost | MIP | Perishable products | LIRP |
Le et al. [ ] | 2013 | S | Heuristic- Column generation | To minimise transport cost | To minimise inventory cost | MP | Perishable products | IRP |
Wang et al. [ ] | 2016 | S | Two-phase Heuristic and Genetic algorithm | To minimise total cost | To maximise the freshness of product quality | MP | Perishable food products | RP |
Rafie-Majd et al. [ ] | 2018 | S | Lagrangian relaxation/GAMS | To minimise total cost | To minimise product wastage | MINLP * | Perishable products | LIRP |
Scholar, Ref. | Year | Subject | Objectives I | II | Methodology | Industry (Product) | Measures to Reduce FLW |
---|---|---|---|---|---|---|---|
Singh et al. [ ] | 2018 | Information technologies, Sustainability, Regulations, Management | To measure greenhouse emission levels and select green suppliers with top-quality products | To reduce carbon footprint and environmental implications | Mixed method | Beef supply chain | - |
Singh et al. [ ] | 2015 | Information technologies, Sus. (Env.), Inventory, Collaboration, Management | To reduce carbon footprint and carbon emissions | To propose an integrated system for beef supply chain via the application of IT | Simulation | Beef supply chain | - |
Juan et al. [ ] | 2014 | Information technologies, Management, Inventory, Collaboration, Management | To explore the role of supply chain practices, strategic alliance, customer focus, and information sharing on food quality | To explore the role of lean system and cooperation, trust, commitment, and information quality on food quality | Statistical analysis | Beef supply chain | By application of IT and Lean system strategy |
Zhang et al. [ ] | 2020 | Information technologies, Management, Inventory, Food quality and safety | To develop a performance-driven conceptual framework regarding product quality information in supply chains | To enhance the understanding of the impact of product quality information on performance | Statistical analysis | Red meat supply chain | - |
Cao et al. [ ] | 2021 | IT, Blockchain, Management, Regulation, Collaboration, Risks, Cost, Waste reduction | To enhance consumer trust in the beef supply chain traceability through the implementation of a blockchain-based human–machine reconciliation mechanism | To investigate the role of blockchain technology in improving transparency and trust within the beef supply chain | Mixed method | Beef products | By applying new information technologies |
Kassahun et al. [ ] | 2016 | IT and ICTs | To provide a systematic approach for designing and implementing chain-wide transparency systems | To design and implement a transparency system/software for beef supply chains | Simulation | Beef meat Industry | By improving the traceability |
Ribeiro et al. [ ] | 2011 | IT and ICTs | To present and discuss the application of RFID technology in Brazilian harvest facilities | To analyse the benefits and challenges of implementing RFID | Qualitative | Beef Industry | - |
Jo et al. [ ] | 2015 | IT (BCT) Sustainability (Eco. and Env.), Management, Cost, Food safety, Risks | To reduce food loss and waste levels, improve food traceability and sustainability | To minimise CO emissions | Mixed method | Beef meat products | By incorporating blockchain technology |
Rejeb, A., [ ] | 2018 | IT (IoT, BCT), Management, risks, food safety | To propose a traceability system for the Halal meat supply chain | To mitigate the centralised, opaque issues and the lack of transparency in traceability systems | Mixed method | Beef meat and meat products | - |
Cao et al. [ ] | 2022 | IT and blockchain, Management, Collaboration, Risk, Cost, Sustainability | To propose a blockchain-based multisignature approach for supply chain governance | To present a specific use case from the Australian beef industry | A novel blockchain-based multi-signature approach | Beef Industry | - |
Kuffi et al. [ ] | 2016 | Digital 3D geometry scanning | To develop a CFD model to predict the changes in temperature and pH distribution of a beef carcass during chilling | To improve the performance of industrial cooling of large beef carcasses | Simulations | Beef meat products | - |
Powell et al. [ ] | 2022 | Information technologies, (IoT and BCT) | To examine the link between IoT and BCT in FSC for traceability improvement | To propose solutions for data integrity and trust in the BCT and IoT-enabled food SCs | Mixed method | Beef meat products | - |
Jedermann et al. [ ] | 2014 | Management, Regulations and Food Safety, FW, Information sharing, RFID | To reduce food loss and waste | To improve traceability | Qualitative analysis | Meat and Food products | By proposing appropriate strategies to improve quality monitoring |
Liljestrand, K., [ ] | 2017 | Collaboration, FLW, Information sharing | To analyse sustainability practices adopted in collaboration, including vertical collaboration in the food supply chain | To explore the role of collaboration in tackling food loss and waste | Qualitative analysis | Meat and Food products | By investigating how Food Policy can foster collaborations to reduce FLW |
Liljestrand, K., [ ] | 2017 | Collaboration, FLW, Information sharing | To analyse sustainability practices adopted in collaboration, including vertical collaboration in the food supply chain | To explore the role of collaboration in tackling food loss and waste | Qualitative analysis | Meat and Food products | By investigating how Food Policy can foster collaborations to reduce FLW |
Harvey, J. et al. [ ] | 2020 | IT and ICTs, Sustainability (Env. and Sco.), waste reduction, Management, decision-making | To conduct social network analysis of food sharing, redistribution, and waste reduction | To reduce food waste via information sharing and IT application | Mixed method | Food products | By examining the potential of social media applications in reducing food waste through sharing and redistribution |
Rijpkema et al. [ ] | 2014 | IT (Sharing), Sustainability Management, Waste reduction | To create effective sourcing strategies for SCs dealing with perishable products | To provide a method to reduce food waste and loss amounts | Simulation model | Food products | By proposing effective sourcing strategies |
Wu, and Hsiao., [ ] | 2021 | Information technologies, Management, Inventory, Food quality and safety, Risks | To identify and evaluate high-risk factors | To mitigate risks and food safety accidents | Mixed method | Food supply chain | By reducing food quality and safety risks and employing improvement plans |
Kaipia et al. [ ] | 2013 | IT (Sharing), Sustainability (Eco. and Env.) Management, Inventory | To improve sustainability performance via information sharing | To reduce FLW level | Qualitative analysis | Food products | By incorporating demand and shelf-life data information sharing effect |
Mishra, N., and Singh, A., [ ] | 2018 | IT and ICTs, Sustainability (Env.), waste reduction, Management, decision-making | To utilise Twitter data for waste minimisation in the beef supply chain | To contribute to the reduction in food waste | Mixed method | Food products | By offering insights into potential strategies for reducing food waste via social media and IT |
Parashar et al. [ ] | 2020 | Information sharing (IT), Sustainability (Env.), FW Management (regulation, inventory, risks) | To model the enablers of the food supply chain and improve its sustainability performance | To address the reducing carbon footprints in the food supply chains | Mixed method | Food products | By facilitating the strategic decision-making regarding reducing food waste |
Tseng et al. [ ] | 2022 | Regulations, Sustainability, Information technologies, (IoT and BCT) | To conduct a data-driven comparison of halal and non-halal sustainable food supply chains | To explore the role of regulations and standards in ensuring the compliance of food products with Halal requirements and FW reduction | Mixed method | Food products | By highlighting the role of legislation in reducing food waste and promoting sustainable food management |
Mejjaouli, and Babiceanu, [ ] | 2018 | Information technologies (RFID-WSN), Management, Decision-making | To optimise logistics decisions based on actual transportation conditions and delivery locations | To develop a logistics decision model via an IT application | Stochastic optimisation | Food products | - |
Wu et al. [ ] | 2019 | IT (Information exchange), Sustainability (Eco., and Env.) | To analyse the trade-offs between maintaining fruit quality and reducing environmental impacts | To combine virtual cold chains with life cycle assessment to provide a holistic approach for evaluating the environmental trade-offs | Mixed method | Food/fruit products | By suggesting a more sustainability-driven cold chain scenario |
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Davoudi, S.; Stasinopoulos, P.; Shiwakoti, N. Two Decades of Advancements in Cold Supply Chain Logistics for Reducing Food Waste: A Review with Focus on the Meat Industry. Sustainability 2024 , 16 , 6986. https://doi.org/10.3390/su16166986
Davoudi S, Stasinopoulos P, Shiwakoti N. Two Decades of Advancements in Cold Supply Chain Logistics for Reducing Food Waste: A Review with Focus on the Meat Industry. Sustainability . 2024; 16(16):6986. https://doi.org/10.3390/su16166986
Davoudi, Sina, Peter Stasinopoulos, and Nirajan Shiwakoti. 2024. "Two Decades of Advancements in Cold Supply Chain Logistics for Reducing Food Waste: A Review with Focus on the Meat Industry" Sustainability 16, no. 16: 6986. https://doi.org/10.3390/su16166986
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Please note you do not have access to teaching notes, enhancing halal food traceability: a model for rebuilding trust and integrity in muslim countries.
Journal of Islamic Marketing
ISSN : 1759-0833
Article publication date: 16 August 2024
Due to increasing scandals involving non-halal foods, contamination and fraudulent practices within the halal food supply chain, this paper aims to identify pivotal factors closely tied to halal food traceability and subsequently proposes a comprehensive halal food traceability model rooted in these factors.
Design/methodology/approach
The approach involved conducting a content analysis to meticulously gather data from existing scholarly works. Subsequently, the authors analysed this data using a thematic approach.
The extensive literature review yielded the identification of eight pivotal factors for the adoption and implementation of effective halal food traceability systems. These factors encompass consensus on halal food standards, government support, meeting consumer demands, ensuring the authenticity of halal food integrity, leveraging technological advancements, adherence to halal standards and certification systems, fostering stakeholder collaboration and promoting research and educational initiatives. Building upon these factors, this study presents a halal food traceability factorial model that can serve as a foundation for constructing a robust and readily-adoptable traceability system within Muslim countries.
Practical implications
The proposed halal food traceability model offers invaluable insights to stakeholders within both private enterprises and governmental bodies. By taking into account the identified factors, these stakeholders can significantly enhance their prospects for the successful adoption and implementation of traceability systems. Additionally, the paper expounds upon practical recommendations for practitioners and highlights avenues for future research aimed at establishing a robust halal traceability system across Muslim countries.
Originality/value
This paper stands as a significant contribution within the limited body of research addressing the development of an effective and readily-adoptable traceability model, thereby bolstering the integrity and safety of halal food. The outcomes of this paper are expected to catalyse improvements in the adoption and implementation of halal food traceability practices across Muslim nations.
- Traceability system
- Localised factors
- Stakeholders
Dashti, L.A.H.F. , Jackson, T. , West, A. and Jackson, L. (2024), "Enhancing halal food traceability: a model for rebuilding trust and integrity in Muslim countries", Journal of Islamic Marketing , Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JIMA-06-2023-0167
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