This paper explores the role of decision support systems (DSS) in enhancing public policy analysis. Decision support systems are tools designed to augment the decision-making process by providing comprehensive analysis, data visualization, and simulation capabilities. In the context of public policy, these systems offer substantial benefits, including improved data accuracy, enhanced decision-making speed, and the ability to evaluate various policy scenarios. The study examines the current state of DSS applications in public policy, identifies key challenges, and proposes strategies for their effective integration. It discusses the importance of incorporating advanced analytical techniques, such as machine learning and artificial intelligence, to address complex policy problems. Furthermore, the paper highlights the need for user-friendly interfaces and robust data security measures to ensure the reliability and trustworthiness of DSS in the public sector. The findings demonstrate that utilizing DSS can lead to more informed, efficient, and transparent public policy decision-making.
Jackson, D. (2020). Decision Support Systems for Public Policy Analysis. Management Analytics and Decision, 2(1), 9. doi:10.69610/j.mad.20200512
ACS Style
Jackson, D. Decision Support Systems for Public Policy Analysis. Management Analytics and Decision, 2020, 2, 9. doi:10.69610/j.mad.20200512
AMA Style
Jackson D. Decision Support Systems for Public Policy Analysis. Management Analytics and Decision; 2020, 2(1):9. doi:10.69610/j.mad.20200512
Chicago/Turabian Style
Jackson, David 2020. "Decision Support Systems for Public Policy Analysis" Management Analytics and Decision 2, no.1:9. doi:10.69610/j.mad.20200512
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ACS Style
Jackson, D. Decision Support Systems for Public Policy Analysis. Management Analytics and Decision, 2020, 2, 9. doi:10.69610/j.mad.20200512
AMA Style
Jackson D. Decision Support Systems for Public Policy Analysis. Management Analytics and Decision; 2020, 2(1):9. doi:10.69610/j.mad.20200512
Chicago/Turabian Style
Jackson, David 2020. "Decision Support Systems for Public Policy Analysis" Management Analytics and Decision 2, no.1:9. doi:10.69610/j.mad.20200512
APA style
Jackson, D. (2020). Decision Support Systems for Public Policy Analysis. Management Analytics and Decision, 2(1), 9. doi:10.69610/j.mad.20200512
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References
Burbules, N. C., & Callister, T. A. (2000). Watch IT: The Risks and Promises of Information Technologies for Education. Westview Press.
Awad, E. N. (2003). Decision Support Systems for Health Policy Analysis. In M. J. Marakas (Ed.), Handbook of Decision Support Systems (pp. 35-54). CRC Press.
Chen, I. (1996). Decision Support Systems: An Overview. Information Systems Management, 13(1), 6-14.
Haupt, R. L., & Tegarden, D. R. (1997). Decision Support Systems in the Public Sector: A Review of the Literature. Public Administration Review, 57(3), 230-240.
Huang, G. H. (2008). Modeling and Simulation for Public Policy Analysis. In G. H. Huang (Ed.), Handbook of Simulation: Principles, Models, and Algorithms (pp. 731-756). John Wiley & Sons.
Birky, P. V. (1985). The Policy Analysis Exercise: A Method for Teaching Policy Analysis. Public Administration Review, 45(3), 244-253.
Liu, R. (2012). A Review of the Decision Support Systems for Public Policy Analysis: The Role of Data and Model Reliability. International Journal of Public Administration, 35(11), 780-793.
Lee, J. W., & Jung, J. Y. (2006). A Decision Support System for Public Policy Analysis. Journal of the American Society for Information Science and Technology, 57(2), 189-202.
Jensen, D. L. (2000). A Framework for Evaluating Decision Support Systems in Public Policy Analysis. Information Systems Frontiers, 2(2), 141-155.
Kalagnanam, J., & D′Odorico, C. (2002). A Systematic Review of Decision Support Systems for Public Policy Analysis. Journal of Management Information Systems, 19(1), 99-140.
