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Detecting causal relationships between work motivation and job performance: a meta-analytic review of cross-lagged studies

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  • Nan Wang

    (Yinchuan)

  • Yuxiang Luan

    (Renmin University of China)

  • Rui Ma

    (Yinchuan)

Abstract

Given that competing hypotheses about the causal relationship between work motivation and job performance exist, the current research utilized meta-analytic structural equation modeling (MASEM) methodology to detect the causal relationships between work motivation and job performance. In particular, completing hypotheses were checked by applying longitudinal data that include 84 correlations (n = 4389) from 11 independent studies measuring both work motivation and job performance over two waves. We find that the effect of motivation (T1) on performance (T2), with performance (T1) controlled, was positive and significant (β = 0.143). However, the effect of performance (T1) on motivation (T2), with motivation (T1) controlled, was not significant. These findings remain stable and robust across different measures of job performance (task performance versus organizational citizenship behavior), different measures of work motivation (engagement versus other motivations), and different time lags (1–6 months versus 7–12 months), suggesting that work motivation is more likely to cause job performance than vice versa. Practical and theoretical contributions are discussed.

Suggested Citation

  • Nan Wang & Yuxiang Luan & Rui Ma, 2024. "Detecting causal relationships between work motivation and job performance: a meta-analytic review of cross-lagged studies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03038-w
    DOI: 10.1057/s41599-024-03038-w
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