Identifying decision strategies: A process- and outcome-based classification method

René Riedl, Eduard Brandstätter, Friedrich Roithmayr

Research output: Contribution to journalArticlepeer-review

54 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)795-807
Number of pages13
JournalBEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS
Volume40
Issue number3
DOIs
Publication statusPublished - Aug 2008

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