title: Identifying decision strategies: a process- and outcome-based classification method.
abstract: This article presents a classification method that makes possible the detection of important decision strategies that people use in nonrisky multiattribute decision tasks. The classification method incorporates a multimethod approach that combines elements of both structural modeling and process tracing. We begin with a discussion of nine common characteristics of decision strategies and then classify 13 decision strategies on the basis of these characteristics. Next, we demonstrate that six of the characteristics can be used to develop one outcome-based and three process-based metrics. In addition, we present an algorithm that shows how to use the metrics. We demonstrate that using our metrics in conjunction with a measure for direction of search allows identification of most of the 13 decision strategies. Finally, we outline the potential of our research for the design of decision support systems such as online shops.
authors.affiliation: Department of Business Informatics - Information Engineering, Johannes Kepler University of Linz, Linz, Austria. rene.riedl@jku.at
authors.forename: René
authors.initials: R
authors.lastname: Riedl
authors.forename: Eduard
authors.initials: E
authors.lastname: Brandstätter
authors.forename: Friedrich
authors.initials: F
authors.lastname: Roithmayr
mesh_terms: D000465:Algorithms; D003657:Decision Making; D006801:Humans; D015233:Models, Statistical