Author List: Todd, Peter; Benbasat, Izak;
Information Systems Research, 1991, Volume 2, Issue 2, Page 87-115.
Although Decision Support Systems (DSSs) have been in Use since the early seventies, there is as yet no strong theoretical base for predicting how a DSS will influence decision making. Furthermore, the findings of various empirical studies on the outcomes of DSS use are often contradictory. Consequently, there is a need in the Decision Support Systems field for theories or explanatory models to formulate hypotheses, to conduct research in a directed, parsimonious manner and to interpret findings in a coherent way. This will assist both academics and practitioners interested in the use of information systems to support managerial workers. This paper proposes the use of a cognitive effort model of decision making to explain decision maker behavior when assisted by a DSS. The central proposition is that specific features can be incorporated within a DSS that will alter the effort required to implement a particular strategy, and thus influence strategy selection by the decision maker. This was investigated in a series of three experimental studies which examined the influence of computer based decision aids on decision making strategies. In the three experiments, subjects were given different degrees of support to deal with various components of cognitive effort (processing effort, memory effort and information tracking effort) associated with the strategies applicable to preferential choice problems. The results show that decision makers tend to adapt their strategy selection to the type of decision aids available in such a way as to reduce effort. These results suggest that the assumption that decision makers use a DSS exclusively to maximize decision quality is open to question. DSS studies which consider the joint effects of effort and quality, or control one while manipulating the other, are more likely to provide consistent and interpretable results.
Keywords: decision support systems;decision processes;cognitive cost-benefit theory
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#10 0.207 strategies strategy based effort paper different findings approach suggest useful choice specific attributes explain effective affect employ particular online control
#113 0.154 support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user paper findings systems.decision components computer-based
#8 0.142 decision making decisions decision-making makers use quality improve performance managers process better results time managerial task significantly help indicate maker
#57 0.136 decision support systems making design models group makers integrated article delivery representation portfolio include selection effective claims decisions rationale various
#116 0.114 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#51 0.093 results study research experiment experiments influence implications conducted laboratory field different indicate impact effectiveness future participants evidence test controlled involving
#227 0.078 commitment need practitioners studies potential role consider difficult models result importance influence researchers established conduct investigated establishing appear clearly determining