Unless stated, meta-analytic correlations were calculated by authors.
Relative weights analysis.
Transformational leadership | 0.07 | 34.46 | 0.21 |
Empowering leadership | 0.14 | 65.54 | |
Transformational leadership | 0.07 | 28.64 | 0.24 |
Ethical Leadership | 0.17 | 71.36 | |
Transformational leadership | 0.08 | 50.24 | 0.16 |
LMX | 0.08 | 49.76 | |
Transformational leadership | 0.08 | 30.02 | 0.26 |
Servant leadership | 0.18 | 69.98 |
We employed meta-regression to detect the potential moderating effects of power distance, individualism, source, journal quality, and publication year. The index of power distance and individualism was extracted from Hofstede's website ( www.geerthofstede.com ). Source was coded as a dummy variable. In particular, “common source” was coded as “0,” while “non-common source” was coded as “1.” Journal quality was coded according to the journal rank. For instance, if one paper is published in SSCI Q4, it would be coded as 4; if one paper is published in SSCI Q1, it would be coded as 1. The regression was accomplished using metafor (Viechtbauer, 2010 ) package in R. In particular, we employed a random-effect model and regarded Restricted Maximum Likelihood (REML) method as an estimator to conduct our meta-regression. The results were presented in Table 6 .
Moderation analyses.
Abusive supervision | Year | 0 | −0.06 | 0.925 | No |
Source | 0.13 | 1.45 | 0.148 | No | |
Quality of journal | −0.05 | −2.03 | 0.042 | Yes, the lower the quality of the journal, the larger the magnitude of correlation | |
Power distance | 0 | 0.95 | 0.343 | No | |
Individulism | 0 | 0.99 | 0.324 | No | |
Empowering leadership | Year | 0.02 | 0.64 | 0.52 | No |
Source | 0.08 | 0.27 | 0.788 | No | |
Quality of journal | 0.15 | 4.82 | 0 | Yes, the lower the quality of the journal, the larger the magnitude of correlation | |
Power distance | 0 | −0.19 | 0.851 | No | |
Individulism | 0 | −0.74 | 0.458 | No | |
Ethical leadership | Year | 0.07 | 1.66 | 0.097 | Yes, the larger the year, the larger the correlation |
Source | 0.03 | 0.13 | 0.9 | No | |
Quality of journal | 0 | 0.04 | 0.969 | No | |
Power distance | 0 | 0.52 | 0.606 | No | |
Individulism | 0 | −0.75 | 0.454 | No | |
LMX | Year | 0.01 | 0.94 | 0.35 | No |
Source | - | - | - | - | |
Quality of journal | −0.04 | −0.62 | 0.539 | No | |
Power distance | 0 | −0.12 | 0.907 | No | |
Individulism | 0 | 0.04 | 0.967 | No | |
Servant leadership | Year | 0.13 | 6.51 | 0 | Yes, the larger the year, the larger the correlation |
Source | 0.06 | 0.19 | 0.853 | No | |
Quality of journal | −0.05 | −0.31 | 0.753 | No | |
Power distance | −0.01 | −1.66 | 0.097 | Yes, the larger the power distance, the smaller the correlation | |
Individulism | 0 | 0.06 | 0.952 | No | |
Transformational leadership | Year | 0.01 | 1.44 | 0.149 | No |
Source | −0.08 | −0.48 | 0.633 | No | |
Quality of journal | 0.06 | 1.45 | 0.142 | No | |
Power distance | 0 | 0.92 | 0.357 | No | |
Individulism | 0 | 0.04 | 0.967 | No |
Finally, publication bias occurs because statistically significant results are published more frequently than studies without significant results (Rothstein et al., 2005 ). To ensure the robustness of the current study, we applied the trim-and-fill method (Duval and Tweedie, 2000 ) and Eggs' regression to detect publication bias (see Table 7 ).
Publication bias analysis.
Abusive supervision | 5 | −0.37 | 1 | −0.36 | 0.01 | 0.78 | 3 | 0.495 |
Empowering leadership | 4 | 0.38 | 0 | 0.38 | 0 | −0.5 | 2 | 0.669 |
Ethical leadership | 6 | 0.41 | 1 | 0.44 | 0.03 | −2.02 | 4 | 0.114 |
LMX | 6 | 0.38 | 0 | 0.38 | 0 | 2.29 | 4 | 0.084 |
Servant leadership | 4 | 0.42 | 0 | 0.42 | 0 | −1.23 | 2 | 0.345 |
Transformational leadership | 29 | 0.36 | 0 | 0.36 | 0 | 1.7 | 27 | 0.101 |
Observed k, number of aggregated effect sizes included in analyses; Unadj. r+, unadjusted effect size estimate; imputed k, number of additional effect sizes added by trim-and-fill analyses; Adj. r+, adjusted effect size estimate (i.e., including imputed studies).
As shown in Table 3 , we find that abusive supervision ( ρ = −0.42, 95%CI = [−0.51, −0.32]) is negatively related to intrinsic motivation. Transformational leadership ( ρ = 0.37, 95%CI = [0.29, 0.45]), ethical leadership ( ρ = 0.49, 95%CI = [0.23, 0.74]), servant leadership ( ρ = 0.49, 95%CI = [0.17, 0.81]), empowering leadership ( ρ = 0.45, 95%CI = [0.29, 0.60]), and LMX ( ρ = 0.37, 95%CI = [0.25, 0.50]) are positively related to intrinsic motivation. Thus, H1 (a), H1 (b), H1 (c), H1 (d), H1 (e), and H2 are accepted.
As presented in Table 5 , empowering leadership (65.54%) played a more important role in explaining intrinsic motivation than transformational leadership (34.46%). Similarly, ethical leadership (71.36%) explained a larger portion of the variance than transformational leadership (28.64%). LMX (49.76%) and transformational leadership (50.24%) played a similar role in explaining intrinsic motivation. Servant leadership (69.98%) played a more important role than transformational leadership (30.02%). Together, RQ1 was answered.
As illustrated in Table 4 , we did not find evidence that supports the moderating effects of individualism and source. Regarding publication year, we found that the links between ethical (servant) leadership and intrinsic motivation were larger when the publication year was larger. Interestingly, for abusive supervision and empowering leadership, the correlation became larger as the journal quality became lower. These results answer RQ 2. In terms of power distance, we noticed that the correlation between servant leadership and intrinsic motivation became smaller when power distance became larger. These results answer RQ 3. Therefore, H4 and H5 were rejected, while H3 was accepted partly.
Finally, as depicted in Table 7 , the overall publication is not serious. First, drawing on Egg's regression method, among six leadership styles, all the p -value is bigger than 0.050, suggesting publication bias is not series. Second, the Trim-and-Fill method helps to fill asymmetric effect sizes and provides an adjusted overall effect size. In terms of empowering leadership, LMX, servant leadership, and transformational leadership, no asymmetric effect sizes were found. Regarding abusive supervision, effect size only changes by 0.01 after adjusting asymmetric effect sizes. For ethical leadership, effect size only changes by 0.03 after adjusting asymmetric effect sizes. Together, we did not find large changes after using the Trim-and-Fill method, confirming the robustness of the current meta-analysis.
Given the importance of intrinsic motivation in work, it is critical to understand the leadership–intrinsic motivation association. This study aimed to contribute to the leadership and intrinsic motivation literature by estimating the true population correlations between leadership styles and intrinsic motivation, comparing the relative importance of leadership to intrinsic motivation, and detecting the potential moderators of the relationship between leadership and intrinsic motivation. We discuss our findings in relation to our three key aims.
Cohen ( 2013 ) provided a standard to understand the magnitude of correlations. That is, small effect sizes are correlations of 0.10, moderate are 0.30, and large are 0.50. We applied this standard to discuss the magnitude of effect sizes. We found that abusive supervision ( ρ = −0.42) is moderately and negatively related to intrinsic motivation. Early meta-analyses (Mackey et al., 2015 ; Zhang and Liao, 2015 ) has found abusive supervision is positively related to a series of bad consequence such as counterproductive work behavior, emotional exhaustion, and so on. Our study enriches the understanding of the negative outcomes of abusive supervision, that is, abusive supervision is negatively associated with intrinsic motivation. Besides, it is worth mentioning that this correlation is large, indicating managers could not ignore the bad impact of abusive supervision on intrinsic motivation.
Transformational leadership ( ρ = 0.37) and LMX ( ρ = 0.37) are moderately and positively related to intrinsic motivation. These findings highlight the importance of these two leadership styles in organizations. Transformational leadership and LMX have been researched for more than 40 years. Our meta-analysis first quantitatively and accurately estimated their links with intrinsic motivation, contributing to transformational leadership and LMX literature. In the relationship between transformational leadership and intrinsic motivation, we noticed that one study (Li et al., 2012 ) measured intrinsic motivation using the obligation-based measure. We conducted a sensitivity analysis (leave-one-out analysis) to detect whether the measure of intrinsic motivation would influence the robustness of the results. We found that k changed from 29 to 28 and n changed from 9,852 to 9,734 after removing this study. However, r and ρ did not change, suggesting the robustness of the result. That is to say, the measure of intrinsic motivation did not influence the robustness of the current study. This result should be explained carefully because (a) these two kinds of definitions of intrinsic motivation are different to some extent and (b) only one study may not make us capture such influence when applying sensitivity analysis.
Ethical leadership ( ρ = 0.49), servant leadership ( ρ = 0.49), and empowering leadership ( ρ = 0.45) is positively and largely related to intrinsic motivation. Compared to transformational leadership and LMX, ethical leadership, servant leadership, and empowering leadership are three emerging forms of positive leadership and have been studied recently. The twenty-first century is the era of the knowledge economy, more and more jobs need intrinsic motivation. Thus, organizations need to provide employees with more autonomy. Using three positive leadership could be a good choice to provide autonomy to employees.
We found that empowering and servant leadership explain a larger variance in intrinsic motivation than transformational leadership. According to SDT (Deci and Ryan, 2010 ; Deci et al., 2017 ), when individuals are motivated intrinsically, they are likely to be creative and innovative. Lee et al. ( 2020a ) also found similar findings that empowering and servant leadership explain a larger variance in creativity than transformational leadership. Together, our findings provide solid evidence that servant and empowering leadership is important for individuals' intrinsic motivation.
LMX and transformational leadership had a similar role in explaining intrinsic motivation. Interestingly, Lee et al. ( 2020a ) finds LMX ( ρ = 0.34) and transformational leadership ( ρ = 0.31) have similar correlations with creativity. The theories and measures of these two leadership styles are quite different. Perhaps they both affect the needs for relatedness, causing them to have similar effects on intrinsic motivation and creativity.
Transformational leadership explained less variance in intrinsic motivation than ethical leadership, which is out of our expectation. In our hypothesis, we believed that ethical leadership may influence less autonomy than transformational leadership, causing ethical leadership to contribute less variance than transformational leadership. Lee et al. ( 2020a ) found ethical leadership explains a larger variance than transformational leadership in creativity. Ethical leadership is a kind of moral leadership. Why a moral leadership would contribute to more variance in intrinsic motivation? SDT may provide an explanation. SDT argues that three psychological needs independently influence intrinsic motivation (Deci et al., 2017 ). This argument has been confirmed by meta-analytic evidence (Slemp et al., 2018 ). Transformational leaders may not be ethical and abusive to their followers in some situations (Hoch et al., 2018 ), which may harm the need for relatedness and thereby decrease intrinsic motivation. As such, ethical leadership may influence a larger need for relatedness than transformational leadership. Together, more theoretical explanations and evidence are called to explain the links between ethical (transformational) leadership and intrinsic motivation.
In line with early studies (Lee et al., 2020a , b ; Lyubykh et al., 2022 ), power distance has been found to moderate leadership effectiveness. As such, leadership should be contingent according to culture. That is, there is no single type of leadership that works in all cultural situations. This point is especially important in multinational companies as the same leadership may have different effects in different cultures.
We did not find evidence that individualism has a moderating effect. This finding may suggest intrinsic motivation is a more universal concept. Intrinsic motivation is based on the enjoyment of the process rather than the consequence (Deci and Ryan, 2010 ). However, individualism is more likely to focus on the consequence immediately (Hofstede, 1980 ). As such, whether in a low or high individualism country, individuals may be motivated intrinsically equally due to the enjoyment of the process rather than the consequence, and thereby not be influenced by individualism.
Results did not support that source has a moderating effect. Although studies using common source data would suffer from common method bias (Podsakoff et al., 2003 ), these effects in the current study are not series. Nonetheless, we still recommend using time-lagged research designs to reduce the effect of common method bias.
We noticed that publication year had a moderating effect on some leadership. However, these findings should be explained carefully. Publication year may be associated with a lot of factors. For example, publication year may be linked to economy and management level that may influence leadership and motivation. Besides, publication year may be related to research quality as research quality may increase as time goes by. Together, the moderating effect of the publication year should be understood cautiously.
We noticed that the correlation became larger as the journal quality became lower. This finding is in line with our research experience. That is, the data quality would be higher in a journal with higher quality. When data quality is low, they tended to exhibit higher correlations due to an unrigorous research design. Unfortunately, few meta-analyses researched the modering effect of journal quality. We look forward to more meta-analyses focusing on this moderator variable
The current study also contributes to practice. Drawing on our findings, some management suggestions should be mentioned. First, managers should avoid using abusive supervision in the workplace. In the era of the knowledge economy, intrinsic motivation is very important to the employees' performance quality. However, abusive supervision would undermine intrinsic motivation deeply as the current study finds a strong and negative association between abusive supervision. Second, the organization should provide leadership training programs to managers. In particular, drawing on our findings, ethical, servant, and empowering leadership positively relate to intrinsic motivation. However, many managers are still lacking systematic leadership training. They just manage their followers according to their experience. The human resource department should provide these leadership training programs to managers. Finally, leaders should provide an antonomy support climate to their followers, increasing their followers' intrinsic motivation.
Two limitations should be mentioned. First, since the effect sizes used in this study are correlation coefficients, we could not make a valid causal inference. Although it is unlikely that reverse causality exists, for example, employee motivation influencing leadership, there may be a common factor that affects both leadership and employee motivation at the same time. For instance, organizational culture may influence both leadership and employee motivation at the same time. Future studies should use more experiment research designs to make accurate causality between leadership and intrinsic motivation.
Second, multicollinearity may harm the robustness of the current study. One positive leadership is usually highly correlated with other positive leadership, which in turn, may cause multicollinearity. For example, Hoch et al. ( 2018 ) find ethical ( ρ = 0.70) and servant ( ρ = 0.52) leadership are largely related to transformation leadership. Carlson and Herdman ( 2010 ) suggested that convergent validity is well when r is bigger than 0.7. In other words, measures of multiple leadership styles have well-convergent validity and they may reflect the same construct to some extent. At the same time, with the influence of multicollinearity, the links between leadership and intrinsic motivation might be biased. For instance, B leadership rather than A leadership is related to intrinsic motivation theoretically. However, due to the high correlation between A and B leadership, A leadership is found to be related to intrinsic motivation. As such, the link between A leadership and intrinsic motivation could be biased. Future studies should use more effective measures to decrease multicollinearity and make a clearer distinction between leadership and its influence on intrinsic motivation.
Leadership is important for the followers' intrinsic motivation. Although fruitful evidence has been accumulated, some unsolved issues still exist. To address these, the current study provides the first analysis between leadership and intrinsic motivation. Overall, positive leadership (e.g., transformational leadership and servant leadership) positively relate to intrinsic motivation, while abusive supervision negatively relates to intrinsic motivation. Empowering, ethical, and servant leadership explain a larger variance in intrinsic motivation than transformational leadership. Power distance, publication year, and journal quality moderates the association between leadership and intrinsic motivation. Our research enriches our understanding of the relationship between leadership and intrinsic motivation. We also provide some practice suggestions for managers drawing on our findings.
Author contributions.
HX: idea. HX and YLuan: introduction. HX and YLuo: hypotheses. YLuo, YLuan, and NW: method. NW: result. All authors contributed to the article and approved the submitted version.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.941161/full#supplementary-material
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