Evaluating the Impact of DSS, Cognitive Effort, and Incentives on Strategy Selection
Abstract
Decision support system (DSS) researchers have long debated whether or not the provision of a DSS would lead to greater decision-making effectiveness, efficiency, or both. The work described in this paper examines how DSS designers can guide users towards employing more normative decision strategies. Working from notions of restrictiveness and decisional guidance (Silver 1990) supplemented by the cost-benefit framework of cognition, we explain how DSS capabilities influence decision behavior and performance through the manipulation of effort. The results of this work should assist DSS developers to devise directed or nondirected approaches to effect desired behaviors.
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In decision support systems and group support systems use contexts, incentive has been found to be an important factor.
“However, in decision support systems and group support systems use contexts (e.g., Mennecke & Valacich, 1998;Speier et al., 2003), incentive has been found to be an important factor (see Todd & Benbasat, 1999).”
From Technology Acceptance Model 3 and a Research Agenda on Interventions (2008) · cites this paper as Todd & Benbasat, 1999
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- Authors
- Todd, P., & Benbasat, I.
- Affiliations
- University of Houston (US)
- University of British Columbia (CA)
- ORCID
- Benbasat, Izak
- Venue
- Information Systems Research
- Published
- 1999-12
- Volume
- 10
- Issue
- 4
- Pages
- 356-374
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2045808844
- Cited by
- 312
- References
- 61
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 4 · 2020: 9 · 2019: 7 · 2018: 3 · 2017: 19 · 2016: 10 · 2015: 8 · 2014: 18 · 2013: 10 · 2012: 26
- FWCI
- 14.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Systems Research (publishedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Social Sciences and Humanities Research Council of Canada
- Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
- Keywords
- decision support system, decision strategies, cognitive effort, incentives, restrictiveness, behavioral decision making, decision-making effectiveness, decision-making efficiency
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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