Data-driven performance evaluation, governance, and anti-corruption measures in the public sector : strategies for enhanced organizational performance in Ghana’s education sector

Owusu, Grace and Nyarkoh, Dede Patrick (2025) Data-driven performance evaluation, governance, and anti-corruption measures in the public sector : strategies for enhanced organizational performance in Ghana’s education sector. GRADUS, 12 (2). ISSN 2064-8014

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Abstract

The Ghana public education sector has been facing performance inefficiencies and corruption issues. This paper focuses on using data-driven performance assessment, proper structures of governance, and anti-corruption measures to improve organizational effectiveness within Ghana's education system. By exploiting qualitative data (through comprehensive document analysis, that is, a review of existing literature, official reports and case studies), the study aims to identify key performance indicators (KPIs) that effectively measure educational outcomes and institutional integrity, determine the current performance gaps in the education sector, evaluate the effectiveness of existing governance frameworks, propose anti-corruption strategies and the essence of implementing anti-corruption measures that hinder misconduct and promote a culture of integrity within the public educational sector and, likewise, present applicable strategies for stakeholders, including government agencies, educational institutions, and civil society organizations (CSOs), to enrich performance metrics and governance practices. By addressing the prevalent corruption and inefficiency, Ghana's public education sector can improve its organizational performance, support its development, and improve student quality and outcomes.

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