Purpose The objective of this study is to offer a comprehensive review of the role of decision support systems (DSS) in enhancing performance monitoring and decision-making in public administration (PA). The study aims to address the fragmented nature of existing literature on DSS in PA and provide a holistic overview of its applications and potential benefits. Design/methodology/approach A systematic literature review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted, analyzing peer-reviewed studies from Scopus and Web of Science databases published over two decades (2004–2024). A thematic synthesis approach was used to align findings with three research questions concerning DSS significance, adoption barriers and emerging trends in public governance. Findings Our review demonstrates that DSS significantly enhances administrative efficiency, transparency and policy responsiveness, contributing to Sustainable Development Goal 16. However, the literature remains fragmented, with limited understanding of implementation barriers, impact measurement and governance improvements enabled by DSS. Emerging trends highlight the integration of artificial intelligence, blockchain technologies and ethical frameworks for decision automation. Originality/value The study offers a detailed synthesis of DSS applications in PA and outlines a forward-looking research agenda that addresses key adoption challenges and technology-led governance reforms. It also provides actionable guidance for policymakers and technology developers to support the strategic implementation of DSS across various administrative settings.
Goyal et al. (Wed,) studied this question.
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