How Self-Efficacy Influences Traffic Police Performance: The Mediating Role of Organizational Commitment in Indonesia ?
DOI: https://doi.org/10.70184/cqd35f29
Self-efficacy;, Organizational Commitment;, Traffic Police Performance;, Structural Equation Modeling Indonesia.
Abstract
Purpose: This study examines the mediating role of organizational commitment in the relationship between self-efficacy and the performance of traffic police officers in Indonesia. It hypothesizes that self-efficacy positively influences performance both directly and indirectly through organizational commitment.
Research Design and Methodology: A quantitative approach with a causal research design was employed. Data were collected through a structured questionnaire from 300 traffic police officers working in several major cities across Indonesia. The constructs of self-efficacy, organizational commitment, and performance were measured using validated and reliable instruments. Structural Equation Modeling (SEM) was utilized to test the proposed relationships and mediation effect.
Findings and Discussion: The results reveal that self-efficacy has a significant positive effect on traffic police performance (β = 0.30, p < 0.001) and organizational commitment (β = 0.45, p < 0.001). Organizational commitment also significantly enhances performance (β = 0.40, p < 0.001). Furthermore, organizational commitment partially mediates the relationship between self-efficacy and performance, indicating that officers with higher confidence in their capabilities tend to develop stronger commitment, which subsequently improves their work performance.
Implications: The findings suggest that police organizations should strengthen officers’ self-efficacy through continuous training and professional development while fostering organizational commitment through supportive human resource policies and employee engagement initiatives. These efforts may contribute to improved service effectiveness, organizational performance, and public safety outcomes.
References
Allen, N. J., & Meyer, J. P. (1990). The measurement and antecedents of affective, continuance, and normative commitment to the organization. *Journal of Occupational Psychology, 63*(1), 1–18. https://doi.org/10.1111/j.2044-8325.1990.tb00506.x
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. *Psychological Bulletin, 103*(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
Bandura, A. (1997). *Self-efficacy: The exercise of control*. W. H. Freeman and Company.
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. *Journal of Personality and Social Psychology, 51*(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
Blau, P. M. (1964). *Exchange and power in social life*. John Wiley & Sons.
Bliese, P. D. (2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. In K. J. Klein & S. W. J. Kozlowski (Eds.), *Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions* (pp. 349–381). Jossey-Bass.
Bollen, K. A., & Long, J. S. (Eds.). (1993). *Testing structural equation models*. Sage Publications.
Byrne, B. M. (2010). *Structural equation modeling with AMOS: Basic concepts, applications, and programming* (2nd ed.). Routledge.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), *Modern methods for business research* (pp. 295–336). Lawrence Erlbaum Associates.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). *Applied multiple regression/correlation analysis for the behavioral sciences* (3rd ed.). Routledge.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. *Journal of Marketing Research, 18*(3), 382–388. https://doi.org/10.1177/002224378101800313
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). *Multivariate data analysis* (7th ed.). Pearson Education.
Hayes, A. F. (2013). *Introduction to mediation, moderation, and conditional process analysis: A regression-based approach*. Guilford Press.
Kline, R. B. (2015). *Principles and practice of structural equation modeling* (4th ed.). Guilford Press.
Meyer, J. P., & Allen, N. J. (1991). A three-component conceptualization of organizational commitment. *Human Resource Management Review, 1*(1), 61–89. https://doi.org/10.1016/1053-4822(91)90011-Z
Meyer, J. P., Stanley, D. J., Herscovitch, L., & Topolnytsky, L. (2002). Affective, continuance, and normative commitment to the organization: A meta-analysis of antecedents, correlates, and consequences. *Journal of Vocational Behavior, 61*(1), 20–52. https://doi.org/10.1006/jvbe.2001.1842
Motowidlo, S. J., & Van Scotter, J. R. (1994). Evidence that task performance should be distinguished from contextual performance. *Journal of Applied Psychology, 79*(4), 475–480. https://doi.org/10.1037/0021-9010.79.4.475
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. *Journal of Applied Psychology, 88*(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. *Journal of Management, 12*(4), 531–544. https://doi.org/10.1177/014920638601200408
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. *Behavior Research Methods, 40*(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
Ringle, C. M., Wende, S., & Becker, J. M. (2015). *SmartPLS 3*. SmartPLS GmbH.
Robbins, S. P., & Judge, T. A. (2017). *Organizational behavior* (17th ed.). Pearson.
Schriesheim, C. A., & Eisenbach, R. J. (1995). An exploratory and confirmatory factor-analytic investigation of item wording effects on the obtained factor structures of survey questionnaire measures. *Journal of Management, 21*(6), 1177–1193. https://doi.org/10.1177/014920639502100609
Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. *Multivariate Behavioral Research, 25*(2), 173–180. https://doi.org/10.1207/s15327906mbr2502_4
Tabachnick, B. G., & Fidell, L. S. (2013). *Using multivariate statistics* (6th ed.). Pearson.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. *Computational Statistics & Data Analysis, 48*(1), 159–205. https://doi.org/10.1016/j.csda.2004.03.005
Published
Issue
Section
License
Copyright (c) 2026 Muh. Asdar, Mamat Rahmat, Dedy Darmawan (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the full copyright of their published articles. By submitting and publishing their work, authors grant Vifada Management and Social Sciences the right of first publication. All published articles are simultaneously licensed under the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided that the original author(s) and the initial publication in this journal are properly acknowledged.








