Decision Support System Evolution: Predicting, Facilitating, and Managing Knowledge Evolution

Daniel E. O’Leary
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Daniel E. O’Leary: University of Southern California
Authors registered in the RePEc Author Service: Daniel E. O'Leary, Jr.

Chapter 53 in Handbook on Decision Support Systems 2, 2008, pp 345-367 from Springer

Abstract: Abstract Decision support systems (DSSs) need to evolve over time for many reasons, including changing user needs, technologies, and problem understanding. This chapter investigates what constitutes DSS evolution, taking the view that DSS evolution means that changes occur in all aspects of those systems, including hardware, databases, user interface, applications, and knowledge. This chapter summarizes and extends some of the literature on evolution and it also summarizes some approaches designed to help manage DSS evolution, including both the prediction and facilitation of evolution.

Keywords: Business Process; Decision Support System; Association Rule; Emergent Property; Delphi Method (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ihichp:978-3-540-48716-6_17

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DOI: 10.1007/978-3-540-48716-6_17

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