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AN ADAPTIVE DECISION SUPPORT SYSTEM FOR ACADEMIC RESOURCE PLANNING
Author(s) -
Franz Lori Sharp,
Lee Wang M.,
Horn James C.
Publication year - 1981
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1981.tb00081.x
Subject(s) - decision support system , resource allocation , variety (cybernetics) , computer science , decision engineering , decision maker , decision analysis , process (computing) , business decision mapping , management science , evidential reasoning approach , r cast , resource (disambiguation) , operations research , knowledge management , artificial intelligence , economics , engineering , computer network , mathematical economics , operating system
Institutions of higher learning are growing increasingly interested in the use of model‐based approaches to their resource allocation problems. Recent modeling approaches, however, have failed to consider that resource allocation planning is not a well‐structured decision process. Additionally, many decision makers are necessarily involved in the academic planning process and may assume dissimilar perspectives on the importance of achieving different goals and objectives. Furthermore, satisfactory allocation solutions can be expected to vary considerably from decision maker to decision maker as the individual's cognitive processes, perceptions, and evaluations are taken into consideration. This paper describes a decision support system (DSS) approach that attempts to adapt to a variety of academic decision makers with differing planning views in an environment of multiple conflicting objectives. This DSS, which was successfully tested on four academic decision makers in a large midwestern university, shows considerable promise for providing decision support to decision makers with varied problem‐solving styles.