Data and Technology Based Bureaucratic Governance Innovations: A Model for Strengthening Institutional Quality in Public Sector Reform in Indonesia
DOI:
https://doi.org/10.31629/jgbr.v2i3.7964Keywords:
Data-Driven Governance, Institutional Quality, Digital BureaucracyAbstract
This study aims to examine the role of data-driven governance innovation in improving institutional quality in the Indonesian public sector. Specifically, the research analyzes the direct and indirect effects of technology, organizational capacity, and regulatory frameworks on institutional quality, with data-driven governance innovation positioned as a mediating variable. The study responds to the growing demand for evidence-based public administration amid digital bureaucracy reform and the implementation of e-government initiatives in Indonesia. The research employs a mixed-methods approach with a sequential explanatory design. Quantitative data were collected through a structured survey of civil servants across central and local government institutions that have implemented digital governance systems. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) to test measurement validity, reliability, and structural relationships among variables. This quantitative phase was complemented by qualitative data obtained from in-depth interviews with key informants involved in digital governance, which were analyzed thematically to provide contextual explanations of the statistical findings. The results indicate that data-driven governance innovation has a positive and significant effect on institutional quality. Technology emerges as the most influential factor, exerting both direct and indirect effects through governance innovation. Organizational capacity shows a moderate but significant influence, while regulatory factors display a weak and inconsistent effect. These findings suggest that strengthening technological infrastructure and organizational capabilities is essential for enhancing institutional quality through data-driven governance in the public sector.
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References
Alavi, A., & Leidner, D. (2020). Knowledge management and digital transformation in public organizations. Government Information Quarterly, 37(4), 101–118. https://doi.org/10.1016/j.giq.2020.101518
Andrews, R., & van de Walle, S. (2020). Accountability and performance management in the era of data-driven governance. Public Management Review, 22(7), 917–937. https://doi.org/10.1080/14719037.2019.1668461
Ardiansyah, M. F., & Prabowo, H. (2021). Digital leadership and readiness for bureaucratic reform in Indonesia. Indonesian Journal of Public Administration, 8(2), 145–162.
Bannister, F., & Connolly, R. (2020). The future of digital governance: Data, governance, and public value. Information Policy, 25(3), 241–254.
Carter, L., & McBride, A. (2021). Transformation of public services using digital technology. Government Information Quarterly, 38(3), 102–111.
Dwiyanto, A. (2020). Bureaucratic reform and the dynamics of public institutions in Indonesia. Journal of State Administrative Sciences, 9(1), 1–15.
Fitriani, R., & Nugroho, Y. (2021). The challenge of implementing an Electronic-Based Government System (SPBE) in improving the quality of public services. Journal of Public Policy, 12(2), 155–170.
Gupta, A., & Gupta, V. (2022). Data integration and digital public administration: Institutional opportunities and constraints. Information Systems Frontiers, 24(5), 1293–1307.
Hardiyansyah. (2022). Public service innovation and digital governance transformation. Journal of Public Service, 7(1), 44–59.
Kurniawan, T., & Safitri, D. (2020). Evaluate institutional quality in Indonesia's public sector reform. Journal of Southeast Asian Public Administration, 4(2), 113–132.
Lima, G.F., & Albano, C. (2021). Organizational resistance in digital bureaucratic transformation. Review of Public Organizations, 21(4), 671–689. https://doi.org/10.1007/s11115-020-00490-5
Mergel, I., Edelmann, N., & Haug, N. (2019). Defining digital transformation in government. Government Information Quarterly, 36(4), 101–109. (Still relevant because it is widely used as a reference until 2025)
Nugroho, Y., & Putri, S. (2022). Data governance maturity in Indonesian government institutions. Journal of Digital Administration, 5(1), 23–40.
OECD. (2020). Digital Government in Indonesia: Strengthening data governance and institutional capacity. OECD Publications.
Prasojo, E., & Kurniawan, T. (2021). Digital bureaucratic reform: Challenges and the agenda ahead. Journal of State Administrative Sciences, 11(2), 201–219.
Rinaldi, M., & Hasanah, N. (2022). Integration of cross-sectoral data in evidence-based policies. Journal of Policy and Government, 8(1), 78–95.
Setiawan, H., & Widodo, A. (2023). Big data analytics and decision-making capacity in Indonesian public institutions. Journal of Public Sector Innovation, 2(1), 55–74.
Susanto, E., & Rahmawati, L. (2020). Analysis of the readiness of ASN in facing the government's digital transformation. Journal of Digital Bureaucracy, 1(1), 10–22.
UNDP. (2021). Digital governance and public sector transformation in Asia-Pacific: Trends and strategies. United Nations Development Programme.
World Bank. (2020). Government effectiveness and regulatory quality indicators: Methodological assessment and regional updates. World Bank Group.
Yunus, U., & Sari, P. (2022). Infrastructure gaps and digital service provision in Indonesia. Journal of Regional Development, 6(2), 198–214.
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