Data-Driven Public Sector Governance: Enhancing Policy Efficiency and Institutional Accountability in Small Developing Countries

Authors

  • Prof. Dr. Stanley Anthony Vivion Paul (Sr.) Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Dr. Justin Joseph Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Stanley Anthony Vivion Paul (Jr.) Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Coretta McDonald Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Orande Kenneatior Solomon Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Shenelle Rambhajan Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.

DOI:

https://doi.org/10.55544/sjmars.4.4.16

Keywords:

Data-driven governance, public sector, policy efficiency, institutional accountability, small developing countries, Caribbean, Guyana, evidence-based policymaking, digital infrastructure, administrative reform

Abstract

Data-driven governance has become a central pillar of modern public administration, offering small developing countries innovative pathways to improve policy efficiency, institutional accountability, and citizen confidence. As global standards increasingly shift toward evidence-based policymaking, the Caribbean region must modernize administrative systems to remain responsive, transparent, and development-oriented. This article examines how data systems, spanning digital records, analytics, performance dashboards, and integrated information platforms, can strengthen public-sector governance in small developing countries. Through analysis of contemporary governance literature, international development frameworks, and regional administrative challenges, the article proposes a model for data-driven public-sector reform tailored to the needs of Guyana and the wider Caribbean. Key recommendations include institutional restructuring, investments in digital infrastructure, civil-service capacity building, and enhanced regulatory frameworks to protect data integrity and ensure equitable implementation.

References

[1] Caribbean Development Bank. (2022). Public sector modernization in the Caribbean. CDB.

[2] Chand, A., & Williams, M. (2021). Digital governance challenges in small developing countries. Caribbean Governance Review, 14(2), 55-72.

[3] Hood, C. (1995). The “New Public Management” in the 1980s: Variations on a theme. Accounting, Organizations and Society, 20(2-3), 93-109.

[4] ICTU. (2022). Caribbean digital development and governance. International Telecommunication Union.

[5] Mergel, I., Edelmann, N., & Haug, N. (2019). Defining digital transformation: Results from expert interviews. Government Information Quarterly, 36(4), 101-121.

[6] Nutley, S., Powell, A., & Davies, H. (2019). What counts as evidence in public policy? Routledge.

[7] OECD. (2020). Digital government in the 21st century. OECD Publishing.

[8] Transparency International. (2021). Corruption perception and governance in developing states. TI.

[9] UNDP. (2021). Governance, equity, and institutional reform in the Caribbean. UNDP.

[10] UNESCO. (2021). Administrative data systems in education. UNESCO.

[11] World Bank. (2021). Evidence-based public sector reform: A global review. World Bank.

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Published

2025-08-31

How to Cite

Paul (Sr.), S. A. V., Joseph, J., Paul (Jr.), S. A. V., McDonald, C., Solomon, O. K., & Rambhajan, S. (2025). Data-Driven Public Sector Governance: Enhancing Policy Efficiency and Institutional Accountability in Small Developing Countries. Stallion Journal for Multidisciplinary Associated Research Studies, 4(4), 110–112. https://doi.org/10.55544/sjmars.4.4.16

Issue

Vol. 4 No. 4 (2025): August Issue

Section

Articles

License

Copyright (c) 2025 Stallion Journal for Multidisciplinary Associated Research Studies

Creative Commons License

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

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