Bounded rationality and satisficing in young people's Web‐based decision making
Abstract
This study investigated Simon's behavioral decision‐making theories of bounded rationality and satisficing in relation to young people's decision making in the World Wide Web, and considered the role of personal preferences in Web‐based decisions. It employed a qualitative research methodology involving group interviews with 22 adolescent females. Data analysis took the form of iterative pattern coding using QSR NUD*IST Vivo qualitative data analysis software. Data analysis revealed that the study participants did operate within the limits of bounded rationality. These limits took the form of time constraints, information overload, and physical constraints. Data analysis also uncovered two major satisficing behaviors—reduction and termination. Personal preference was found to play a major role in Web site evaluation in the areas of graphic/multimedia and subject content preferences. This study has related implications for Web site designers and for adult intermediaries who work with young people and the Web.
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Despite the expectation of rationality in policy decision making, policy makers' decisions can include individual and group utility factors and be a source of bias because decision information is rooted in individual cognitive processing.
“Therefore, despite the expectation of rationality in policy decision making, policy makers' decisions can include individual and group utility factors and be a source of bias because decision information is rooted in individual cognitive processing [44-50,61].”
From Rationality versus reality: the challenges of evidence-based decision making for health policy makers (2010) · cites this paper as [50]
Decision makers, even if they have access to required information and have relevant expertise, may not engage in complex cognitive information processing when making decisions.
“However, decision-making research has shown that decision makers, even if they have access to required information and have relevant expertise, may not engage in complex cognitive information processing when making decisions [13,15,44,46-50].”
From Rationality versus reality: the challenges of evidence-based decision making for health policy makers (2010) · cites this paper as [50]
Cognitive processing research has identified both bounded rationality and 'satisficing' as limitations to complex cognitive processing.
“For example, cognitive processing research has identified both bounded rationality and 'satisficing' as limitations to complex cognitive processing [2,15,44,46-50].”
From Rationality versus reality: the challenges of evidence-based decision making for health policy makers (2010) · cites this paper as [50]
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- Authors
- Agosto, D. E.
- Affiliations
- Drexel University (US)
- Corresponding author
- Agosto, Denise E.
- ORCID
- Agosto, Denise E.
- Venue
- Journal of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2001-11-16
- Volume
- 53
- Issue
- 1
- Pages
- 16-27
- ISSN
- 1532-2882 (ISSN-L)
- 1532-2890
- OpenAlex
- W1976585161
- Cited by
- 202
- References
- 0
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 9 · 2023: 10 · 2022: 5 · 2021: 9 · 2020: 10 · 2019: 3 · 2018: 8 · 2017: 7 · 2016: 11 · 2015: 15 · 2014: 6 · 2013: 9 · 2012: 13
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Society for Information Science and Technology (publishedVersion)
- Funders
- Toyota USA
- Beta Phi Mu
- Toyota Foundation
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- bounded rationality, satisficing, youth, adolescents, online decision making, information overload, time constraints, individual preferences, website evaluation, web design
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