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Closed Bureaucratic Systems as a Governance Mechanism to Reduce Corruption-Prone Practices in Public Institution

Year: 2025
Type: article
Abstract: Corruption remains a complex structural challenge in public administration, with profound implications for political stability, economic growth, and the legitimacy of state institutions. One strategic approach identified to mitigate the potential for corrupt practices is the implementation of a Closed Bureaucratic System, an administrative governance model grounded in stringent internal controls, restricted decision-making access, and multi-layered oversight in accordance with the principles of Good Governance. This study employs a literature review methodology, examining both primary and secondary scholarly sources, including journal articles, monographs, policy reports, and relevant official documents. A qualitative analysis was conducted to identify the conceptual foundations, evaluate implementation practices, and synthesize the enabling and constraining factors influencing the system’s effectiveness. The findings indicate that the Closed Bureaucratic System can enhance bureaucratic integrity through structured audit mechanisms, formal documentation systems, and the application of information technology–based administrative procedures that minimize direct interactions between officials and service applicants. Key enabling factors include the availability of technological infrastructure, robust anti-corruption policies, and sustained capacity-building programs aimed at strengthening the competence and integrity of civil servants. Nonetheless, internal resistance to change, resource constraints, and inconsistent law enforcement were identified as significant obstacles. Overall, the Closed Bureaucratic System demonstrates substantial potential to reinforce transparency, accountability, and integrity in public administration, thereby contributing to the restoration of public trust and the attainment of sustainable development objectives.
DOI: 10.65049/gb17gr24
Language: English
Open Access status: hybrid
OpenAlex ID: W4415017106
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