The Influence of Collective Collegial Leadership on the Effectiveness of Strategic Decisions in the Bontang City Election Commission
Abstract
This study aims to examine and analyze the influence of collegial collective leadership on the effectiveness of strategic decisions at the Bontang City General Elections Commission (KPU), by exploring the role of employee engagement as a mediating variable and organizational culture as a moderating variable. Election management bodies face demands to produce accurate and efficient decisions within tight time constraints, thus requiring participatory and transparent leadership governance. This study uses a quantitative approach with a descriptive-verification design. Primary data were collected through questionnaires distributed to 98 respondents consisting of Commissioners, State Civil Apparatus (ASN) Secretariat, District Election Committee (PPK), and Voting Committee (PPS) within the Bontang City General Elections Commission (KPU). The data analysis technique used was Structural Equation Modeling - Partial Least Square (SEM-PLS) operated with SmartPLS 4 software. The results of the hypothesis testing indicate that: (1) Collegial collective leadership has a positive and significant effect on employee engagement; (2) Collegial collective leadership has a positive and significant effect on the effectiveness of strategic decisions; (3) Employee engagement has a positive and significant effect on the effectiveness of strategic decisions; (4) Employee engagement is proven to partially mediate the effect of collegial collective leadership on the effectiveness of strategic decisions; and (5) Organizational culture is proven to moderate and strengthen the effect of collegial collective leadership on the effectiveness of strategic decisions. In conclusion, the practice of leadership collegiality characterized by communication transparency will produce the most accurate, efficient, and legitimate strategic decisions if supported by high employee dedication and an organizational culture that is consistent with regulations.
References
Journals:
Bakker, A. B., & Demerouti, E. (2007). The Job Demands-Resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328. https://doi.org/10.1108/02683940710733115
Becton, J. B., Walker, H. J., & Jones-Farmer, A. (2014). Generational differences in workplace behavior. Journal of Applied Social Psychology, 44(3), 175-189. https://doi.org/10.1111/jasp.12208
Becker, J.-M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: Guidelines for using reflective–formative type models. Long Range Planning, 45(5–6), 359–394. https://doi.org/10.1016/j.lrp.2012.10.001
Campione, W. A. (2015). Corporate offerings: Why aren't millennials staying?. Journal of Applied Business and Economics, 17(4), 60-75.
Carson, J. B., Tesluk, P. E., & Marrone, J. A. (2007). Shared leadership in teams: An investigation of antecedents and consequences. Academy of Management Journal, 50(5), 1217 1234. https://doi.org/10.5465/amj.2007.20159921
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects. Information Systems Research, 14(2), 189–217. https://doi.org/10.1287/isre.14.2.189.16018
Denison, D. R., & Mishra, A. K. (1995). Toward a theory of organizational culture and effectiveness. Organization Science, 6(2), 204–223. https://doi.org/10.1287/orsc.6.2.204
Dean, J. W., Jr., & Sharfman, M. P. (1996). Does decision process matter? A study of strategic decision-making effectiveness. Academy of Management Journal, 39(2), 368–396. https://doi.org/10.5465/256635
Hair, J. F., Jr., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report PLS-SEM results. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hult, G. T. M., Hair, J. F., Jr., Proksch, D., Sarstedt, M., Pinkwart, A., & Ringle, C. M. (2018). Addressing endogeneity in international marketing applications of PLS-SEM. Journal of International Marketing, 26(3), 1–21. https://doi.org/10.1177/1069031X18812915
Kittur, A., & Kraut, R. E. (2008). Harnessing the wisdom of crowds in Wikipedia: Quality through coordination. In Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work (pp. 37–46). https://doi.org/10.1145/1460563.1460634
Malone, T. W., & Crowston, K. (1994). The interdisciplinary study of coordination. Communications of the ACM, 37(1), 50–63. https://doi.org/10.1145/197405.197406
Mesmer-Magnus, J. R., & DeChurch, L. A. (2009). Information sharing and team performance: A meta-analysis. Journal of Applied Psychology, 94(2), 535–546. https://doi.org/10.1037/a0013773
Ng, T. W., Schweitzer, M. E., & Lyons, S. T. (2010). New generation, great expectations: A field study of the millennial generation. Journal of Business and Psychology, 25(2), 281-292. https://doi.org/10.1007/s10869-010-9159-4
Nutt, P. C. (1999). Surprising but true: Half the decisions in organizations fail. Academy of Management Executive, 13(4), 75–90. https://doi.org/10.5465/ame.1999.2570556
Pearce, C. L., & Conger, J. A. (Eds.). (2003). Shared leadership: Reframing the hows and whys of leadership. Sage. https://doi.org/10.4135/9781452229539
Rizki, T., & Kurniawan, S. (2023). Public service performance: An influence of female leadership and good governance. Jurnal Bina Praja.
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.https://doi.org/ 10.1177/0013164405282471
Santosa, H. (2023). Role of service innovation in enhancing customer satisfaction in the public sector organization. Jurnal Ilmiah Ilmu Administrasi Publik, 13(1), 183
Sørensen, E., & Torfing, J. (2005). The democratic anchorage of governance networks. Scandinavian Political Studies, 28(3), 195–218. https://doi.org/10.1111/j.1467-9477.2005.00136.x
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research. Springer. https://doi.org/10.1007/978-3-319-05542-8_15-1
Twenge, J. M. (2010). A review of the empirical evidence on generational differences in work attitudes. Journal of Business and Psychology, 25(2), 201-210. https://doi.org/10.1007/s10869-010-9165-6
Books:
Irawanto, D. W., Ramsey, P. L., & Ryan, J. C. (2012). Paternalistic leadership and employee outcomes in the Indonesian public sector.
Lipsky, M. (2010). Street-level bureaucracy: Dilemmas of the individual in public services (30th anniversary expanded ed.). Russell Sage Foundation.
Niswaty, R., Wirawan, H., Akib, H., Saggaf, M., & Daraba, D. (2021). Investigating the effect of authentic leadership and employees’ psychological capital on work engagement: Evidence from Indonesia.
Nutt, P. C. (2002). Why decisions fail: Avoiding the blunders and traps that lead to debacles. Berrett-Koehler.
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