Breaking Bureaucratic Barriers: How Public Service Motivation Drives Employee Performance in the Digital Age

  • Arbania Fitriani 
    Universitas Esa Unggul
    Indonesia
  • Wihana Kirana Jaya
    Gadjah Mada University
    Indonesia
  • Sumaryono Sumaryono
    Gadjah Mada University
    Indonesia
  • Reni Rosari
    Gadjah Mada University
    Indonesia
  • Dominikus David Biondi Situmorang
    Atma Jaya Catholic University of Indonesia
    Indonesia
  • Ifdil Ifdil
    Universitas Negeri Padang
    Indonesia

Abstract

This study examines the complex interplay among Public Service Motivation (PSM), red tape, and work-related outcomes within Indonesia's public sector, utilizing a sample of 2,386 state-owned enterprise employees. Employing Partial Least Squares Structural Equation Modeling, we analyze PSM's influence on work engagement, affective commitment, and innovative work behavior while assessing red tape's moderating role. Our findings reveal that PSM significantly enhances work engagement and affective commitment. However, PSM does not directly predict innovative work behavior, suggesting innovation requires additional organizational support. Red tape negatively impacts engagement, commitment, and innovation, underscoring the need for process simplification. Work engagement mediates the relationship between PSM and affective commitment and innovation, highlighting its pivotal role. Notably, red tape does not moderate PSM’s effect on engagement, indicating PSM's resilience amid bureaucratic constraints. These insights emphasize the importance of fostering PSM to strengthen employee commitment and engagement. Additionally, policymakers must address bureaucratic inefficiencies and cultivate innovation-supportive environments to enhance public sector governance effectiveness.

Lisensing Information
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Fitriani, A., Jaya, W. K., Sumaryono , S., Rosari, R., Situmorang, D. D. B., & Ifdil, I. (2023). Breaking Bureaucratic Barriers: How Public Service Motivation Drives Employee Performance in the Digital Age. COUNS-EDU: The International Journal of Counseling and Education, 8(4), 22–38. https://doi.org/10.23916/0020230847840
Endnote/Zotero/Mendeley (RIS) BibTeX
References
  1. 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. DOI: https://doi.org/10.1111/j.2044-8325.1990.tb00506.x
  2. Bakker, A. B. (2015). A job demands–resources approach to public service motivation. Public Administration Review, 75(5), 723-732. DOI: https://doi.org/10.1111/puar.12388
  3. Bakker, A. B., Schaufeli, W. B., Leiter, M. P., & Taris, T. W. (2008). Work engagement: An emerging concept in occupational health psychology. Work & Stress, 22(3), 187-200. DOI: https://doi.org/10.1080/02678370802393649
  4. Bakker, A. B., & Demerouti, E. (2008). Towards a model of work engagement. Career Development International, 13(3), 209-223. DOI: https://doi.org/10.1108/13620430810870476
  5. Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328. DOI: https://doi.org/10.1108/02683940710733115
  6. Bozeman, B. (1987). All organizations are public: Bridging public and private organizational theories. San Francisco: Jossey-Bass.
  7. Brewer, G. A., & Selden, S. C. (2000). Why elephants gallop: Assessing and predicting organizational performance in federal agencies. Journal of public administration research and theory, 10(4), 685-712. DOI: https://doi.org/10.1093/oxfordjournals.jpart.a024287
  8. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
  9. Crewson, P. E. (1997). Public-service motivation: Building empirical evidence of incidence and effect. Journal of public administration research and theory, 7(4), 499-518. DOI: https://doi.org/10.1093/oxfordjournals.jpart.a024363
  10. Dwivedi, Y. K., Shareef, M., Pandey, S. K., & Kumar, V. (Eds.). (2013). Public administration reformation: Market demand from public organizations. Routledge. DOI: https://doi.org/10.4324/9780203694428
  11. Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications. DOI: https://doi.org/10.1007/978-3-030-80519-7
  12. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019a). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. DOI: https://doi.org/10.1108/EBR-11-2018-0203
  13. Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2019b). Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications. DOI: https://doi.org/10.3926/oss.37
  14. Harari, M. B., Reaves, A. C., & Viswesvaran, C. (2019). The impact of public service motivation on job performance: Evidence from the public sector. Public Personnel Management, 48(1), 84-104.
  15. Huang, H., & Zhang, J. (2021). Research on the environmental effect of green finance policy based on the analysis of pilot zones for green finance reform and innovations. Sustainability, 13(7), 3754. DOI: https://doi.org/10.3390/su13073754
  16. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. DOI: https://doi.org/10.1080/10705519909540118
  17. Idris, F., Dollard, M. F., & Tuckey, M. R. (2016). Psychosocial safety climate, work conditions, and emotions in the workplace: A Malaysian population-based work stress study. The International Journal of Human Resource Management, 27(18), 2238-2259.
  18. Kim, S., & Kim, J. (2016). Public service motivation and organizational citizenship behavior in South Korea: The effects of organizational trust and job satisfaction. Review of Public Personnel Administration, 36(3), 275-298.
  19. Kmieciak, R. (2020). Drivers and barriers of innovative work behavior: A systematic review. Sustainability, 12(8), 3175.
  20. Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.[G-Books]
  21. Leguina, Adrian. "A primer on partial least squares structural equation modeling (PLS-SEM)." (2015): 220-221 DOI: https://doi.org/10.1080/1743727X.2015.1005806
  22. Meyer, J. P., & Allen, N. J. (1991). A three-component conceptualization of organizational commitment. Human Resource Management Review, 1(1), 61-89. DOI: https://doi.org/10.1016/1053-4822(91)90011-Z
  23. Moynihan, D. P. (2008). The dynamics of performance management: Constructing information and reform. Georgetown University Press. DOI: https://doi.org/10.1353/book13015
  24. Perry, J. L. (1996). Measuring public service motivation: An assessment of construct reliability and validity. Journal of Public Administration Research and Theory, 6(1), 5-22. DOI: https://doi.org/10.1093/oxfordjournals.jpart.a024303
  25. Perry, J. L., & Hondeghem, A. (2008). Motivation in public management: The call of public service. Oxford University Press. DOI: https://doi.org/10.1093/oso/9780199234035.001.0001
  26. Perry, J. L., & Wise, L. R. (1990). The motivational bases of public service. Public Administration Review, 50(3), 367-373. DOI: https://doi.org/10.2307/976618
  27. Rainey, H. G., & Steinbauer, P. (1999). Galloping elephants: Developing elements of a theory of effective government organizations. Journal of Public Administration Research and Theory, 9(1), 1-32. DOI: https://doi.org/10.1093/oxfordjournals.jpart.a024401
  28. Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH.
  29. Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006). The measurement of work engagement with a short questionnaire: A cross-national study. Educational and Psychological Measurement, 66(4), 701-716.[ DOI: https://doi.org/10.1177/0013164405282471
  30. Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. B. (2002). The measurement of engagement and burnout: A two-sample confirmatory factor analytic approach. Journal of Happiness Studies, 3(1), 71-92. DOI: https://doi.org/10.1023/A:1015630930326
  31. Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of Management Journal, 37(3), 580-607. DOI: https://doi.org/10.2307/256701
  32. Vermereen, S., & van Geest, D. (2012). Public service motivation and its consequences: Evidence from the Netherlands. International Review of Administrative Sciences, 78(2), 334-356.
  33. Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics, and management strategies. Journal of Retailing, 85(1), 31-41.[ DOI: https://doi.org/10.1016/j.jretai.2008.11.001
  34. Van Loon, N. M. (2017). From red tape to which performance results? Exploring the relationship between red tape and various dimensions of performance in healthcare work units. Public Administration, 95(1), 60-77. DOI: https://doi.org/10.1111/padm.12294
  35. Vicenzo, R. (2016). The Four Q Model: A Proposal for Work Engagement, Satisfaction, and Openness to Organizational Change. Europe’s Journal of Psychology, 12(3), 455-478.
  36. Wang, P., & Walumbwa, F. O. (2007). Family-friendly programs, organizational commitment, and work withdrawal: The moderating role of transformational leadership. Personnel Psychology, 60(2), 397-427. DOI: https://doi.org/10.1111/j.1744-6570.2007.00078.x
  37. West, M. A., & Farr, J. L. (1990). Innovation at work: Psychological perspectives. Social Behavior, 5(1), 15-30.
  38. Wright, B. E., Hassan, S., & Christensen, R. K. (2017). Job choice and performance: Revisiting core assumptions about public service motivation. International Public Management Journal, 20(1), 108-131. DOI: https://doi.org/10.1080/10967494.2015.1088493

Downloads

PDF

Statistic

Abstract Views
: 0 times
PDF
: 0 times

Downloads

Download data is not yet available.