FUTURE DIRECTIONS FOR DEVELOPING DECISION SUPPORT SYSTEMS*

ROBERT H. BONCZEK · Clyde W. Holsapple · Andrew B. Whinston

105 citations0/0 files storedDecision Sciences

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Decision Support System Applications Big Data and Business Intelligence AI-based Problem Solving and Planning

Abstract

Abstract A formal, generic description of decision support systems is introduced. This description views a decision support system as having three principal components: a language system, a knowledge system, and a problem processing system. Several systems that fit the generic decision support system idea, but are (for the most part) not the customary kinds of systems encountered in business applications, are described. The concepts and techniques employed in these systems can make important contributions to the emergence of more powerful business‐oriented decision support systems.

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References

1960The new science of management decision.2012Encyclopedia of Human Behavior 1980THE EVOLVING ROLES OF MODELS IN DECISION SUPPORT SYSTEMS*

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2002The enabling role of decision support systems in organizational learning 1987USING ARTIFICIAL INTELLIGENCE TECHNIQUES TO ENHANCE THE CAPABILITIES OF MODEL MANAGEMENT SYSTEMS 1995Expert Support Systems for New Product Development Decision Making: A Modeling Framework and Applications 2000Using Autonomous Software Agents to Create the Next Generation of Decision Support Systems*1993Model management issues and directions 2008DSS Architecture and Types 1987A KNOWLEDGE‐BASED DSS FOR MANAGERIAL PROBLEM DIAGNOSIS 1987FINDING SYNERGY BETWEEN DECISION SUPPORT SYSTEMS AND EXPERT SYSTEMS RESEARCH

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