Two Worlds of Trust for Potential E-Commerce Users: Humans as Cognitive Misers
Abstract
In this paper we consider the impact of trust on a new visitor's intention to revisit a website, but instead of using the typical expectancy-value theories as our conceptual basis, we look at the issue from the perspective of cognitive complexity and “humans as cognitive misers.” Starting with the suggestion that it is cognitively taxing to distrust, we propose that in order to conserve on cognitive resources, once a new visitor has convinced him or herself that a website is “trustworthy enough,” that user will drop trustworthiness from their concerns and only consider other characteristics of the website (e.g., task-technology fit, aesthetic appeal, etc.) in determining their revisit intention. This leads to what we call a “trust tipping point” and two different worlds of trust. Above the tipping point revisit intention is constructed in one way, and below the trust tipping point it is constructed in a quite different way. This perspective results in very different recommendations for website designers as to the likely payoff from improving task-technology fit, aesthetic appeal, or trustworthiness, depending upon where their existing website stands relative to the trust tipping point. To test our hypotheses we used data from 314 student website users, and expanded a technique called piecewise regression (Neter et al. Applied Linear Statistical Models, 4th ed.) to allow us to analyze data as two different linear surfaces, joined at the tipping point. We found good support for…
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The presence of trust alone may not be universally sufficient for triggering customer transaction intentions.
“empirical studies reveal that the presence of trust alone may not be universally sufficient for triggering customer transaction intentions (Gefen and Pavlou 2006; Liu and Goodhue 2012; Van der Heijden et al. 2003).”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Liu and Goodhue 2012
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Buyers apping? Determinants of current and future use of sellers' business-to-business mobile apps
Swani, K., & Jeyaraj, A. (2022) · Industrial Marketing Management · doi:10.1016/j.indmarman.2022.10.011 · Cited by 4 · see citing works
An Examination of Fit and the Use of Mobile Devices for Performing Tasks
Hollingsworth, C. L. (2015) · DigitalCommons - Kennesaw State University (Kennesaw State University) · Cited by 4 · see citing works
Image-based brand communications: an information richness approach on Instagram
Lu, S., & Wu, J. (2025) · European Journal of Information Systems · doi:10.1080/0960085x.2025.2475956 · Cited by 3 · see citing works
Adam, M., Mishra, A. N., & Benlian, A. (2025) · Information Systems Research · doi:10.1287/isre.2023.0478 · Cited by 3 · see citing works
EXTENDING TASK-TECHNOLOGY FIT WITH DUAL INFORMATION PROCESSING MODES IN DISASTER DECISION SUPPORT
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The danger of not being typical: The positive effect of webpage prototypicality on users’ attitudes
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“012012 or 111000”: preference for consumption pattern-seeking
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Analysis of Community Interaction Modules of European and American Universities
Chen, Y. (2021) · Journalism and Media · doi:10.3390/journalmedia2020009 · Cited by 6 · see citing works
Website Design and Trust Elements: A/B Testing on a Start-up's Website
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What Drives Website Registration? Network Externalities Versus Information Privacy ConcernsPreprint
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Power of visuals: The impact of user-generated image richness on the helpfulness of online reviews
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An Empirical Study on Predicting User Acceptance of Online Apparel Shopping in Iran
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THE URGENCY OF ADAPTING THE E-TAX SYSTEM TO TAX COMPLIANCE: INTEGRATION OF SATISFACTION LEVELS
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Analysis of the influence of the color aesthetic element on trust in mobile commerce interfaces
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Influence of Emotional Design Features of News App Interfaces on User Trust
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The Impact of Perceived Privacy Breach on Sustainability of Social Networking Sites
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A Contemporary Investigation into the Economic Impacts of RTAs: Case Study of the AFTZ and the TPP
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Who Owns the Data? A Systematic Review at the Boundary of Information Systems and Marketing
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Essays on Digital Health and Preventive Care Analytics
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- Authors
- Liu, B. Q., & Goodhue, D. L.
- Affiliations
- Department of Information Systems, College of Business, City University of Hong Kong, Kowloon, Hong Kong SAR
- University of Georgia (US)
- Venue
- Information Systems Research
- Published
- 2012-12
- Volume
- 23
- Issue
- 4
- Pages
- 1246-1262
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W1982830800
- Cited by
- 111
- References
- 53
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 12 · 2023: 11 · 2022: 15 · 2021: 11 · 2020: 3 · 2019: 5 · 2018: 12 · 2017: 3 · 2016: 8 · 2015: 6 · 2014: 9 · 2013: 1 · 2012: 1
- FWCI
- 11.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Systems Research (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- e-commerce trust, revisit intention, cognitive complexity, cognitive load, website trustworthiness, task-technology fit, website aesthetics, piecewise linear regression
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.
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