Over the past few years, the governments in the global sphere started to acknowledge the importance of data analytics in enhancing the efficiency of the administrative process and adopting evidence-based governance. Data analytics can help governmental organizations to extract insights based on massive and dense data and, therefore, enhance the transparency, policy makers, and citizens. Nonetheless, regardless of its promise, the implementation of analytics-driven decision systems by many government agencies remains problematic because of institutional, technical and ethical barriers. In this paper, a systematic review of the 2019-2025 literature is presented, with the analysis of key trends, adoption frameworks, enablers, and barriers in data analytics adoption in government agencies worldwide. The review is based on empirical research on different governance settings and suggests an interconnected conceptual framework, which bridges data capability, digital maturity, and governance outcomes. The paper will end by stating the research gaps and make recommendations on how to create a sustainable culture of data in the public sector
Download
Download XML