Public sector organizations operate within complex operational environments characterized by resource constraints, policy mandates, and high accountability requirements. Decision support systems play a critical role in enabling informed planning and coordination across government agencies, emergency services, and administrative functions. In recent years, cloud computing has emerged as a foundational platform for deploying scalable and interoperable decision support capabilities. However, the integration of cloud technologies into public sector decision making introduces architectural challenges related to governance, data integration, reliability, and trust. This review examines cloud-enabled decision support architectures for operational planning in public sector systems. By synthesizing existing research across decision support systems, cloud computing, and public sector information systems, the article analyzes how architectural choices influence planning effectiveness, transparency, and resilience. The review highlights dominant architectural patterns, identifies recurring design tradeoffs, and evaluates how cloud-based decision support systems align with public sector operational requirements. The findings underscore the importance of treating decision support architecture as a socio-technical construct that balances technical flexibility with institutional accountability.
Kulkarni et al. (Wed,) studied this question.
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