On the Plausibility and Scope of Expert Systems in Management.

Author List: Dhar, Vasant;
Journal of Management Information Systems, 1987, Volume 4, Issue 1, Page 25-41.
Over the last decade there have been several efforts at building knowledge-based "expert systems," mostly in the scientific and medical arenas. Despite the fact that almost all such systems are in their experimental stages, designers are optimistic about their eventual success. In the last few years, there have been many references to the possibility of expert systems in the management literature. However, what is lacking is a clear theoretical perspective on how various management problems differ in nature from problems in other domains and the implications of these differences for knowledge-based decision support systems for management. In this paper, I examine some of these differences, what they suggest in terms of the functionality that a computer-based system must have in order to support organizational decision making, and the scope of such a system as a decision aid. The discussion is grounded in the context of a computer-based system called PLANET that exhibits some of the desired functionality.
Keywords: decision support systems; Expert systems in management information systems; knowledge-based approach to decision support.
Algorithm:

List of Topics

#102 0.187 choice type functions nature paper literature particular implications function examine specific choices extent theoretical design discussion value widely finally adopted
#129 0.173 expert systems knowledge knowledge-based human intelligent experts paper problem acquisition base used expertise intelligence domain inductive rules machine artificial task
#159 0.170 systems information objectives organization organizational development variety needs need efforts technical organizations developing suggest given effective designing lack help recent
#113 0.144 support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user paper findings systems.decision components computer-based
#286 0.063 success model failure information impact variables failures delone suggested dimensions mclean reasons variable finally categories years recommendations benefits studies identify
#16 0.059 infrastructure information flexibility new paper technology building infrastructures flexible development human creating provide despite challenge possible resources specific advances developing