Please use this identifier to cite or link to this item: https://doi.org/10.1287/isre.1080.0232
Title: Assessing screening and evaluation decision support systems: A resource-matching approach
Authors: Tan, C.-H.
Teo, H.-H. 
Benbasat, I.
Keywords: Consumer behavior
Decision support systems
Electronic commerce
Resource matching
Issue Date: 2010
Citation: Tan, C.-H., Teo, H.-H., Benbasat, I. (2010). Assessing screening and evaluation decision support systems: A resource-matching approach. Information Systems Research 21 (2) : 305-326. ScholarBank@NUS Repository. https://doi.org/10.1287/isre.1080.0232
Abstract: This research explores how consumers use online decision aids with screening and evaluation support functionalities under varying product attribute-load conditions. Drawing on resource-matching theory, we conducted a 3 × 2 factorial experiment to test the interaction between decision aid features (i.e., low versus high-screening support, and aids with weight assignment and computation decision tools) and attribute load (i.e., large versus small number of product attributes) on decision performance. The findings reveal that: (1) where the decision aids render cognitive resources that match those demanded for the task environment, consumers will process more information and decision performance will be enhanced; (2) where the decision aids render cognitive resources that exceed those demanded for the task environment, consumers will engage in less task-related elaboration of decision-making issues to the detriment of decision performance; and (3) where the decision aids render cognitive resources that fall short of those demanded for the task environment, consumers will use simplistic heuristic decision strategies to the detriment of decision performance or invest additional effort in information processing to attain a better decision performance if they perceive the additional investments in effort to be manageable. © 2010 INFORMS.
Source Title: Information Systems Research
URI: http://scholarbank.nus.edu.sg/handle/10635/42421
ISSN: 10477047
DOI: 10.1287/isre.1080.0232
Appears in Collections:Staff Publications

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