Task-technology fit and individual performance
MIS Quarterly
Trust Transfer on the World Wide Web
Organization Science
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
Building Effective Online Marketplaces with Institution-Based Trust
Information Systems Research
The Impact of Media Richness, Suspicion, and Perceived Truth Bias on Deception Detection
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
Distrust and trust in B2C e-commerce: do they differ?
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
WebQual: An Instrument for Consumer Evaluation of Web Sites
International Journal of Electronic Commerce
The interplay of beauty, goodness, and usability in interactive products
Human-Computer Interaction
Special Issue: Trust in Online Environments
Journal of Management Information Systems
A Research Agenda for Trust in Online Environments
Journal of Management Information Systems
Information Systems Research
Colour appeal in website design within and across cultures: A multi-method evaluation
International Journal of Human-Computer Studies
Trust in a specific technology: An investigation of its components and measures
ACM Transactions on Management Information Systems (TMIS)
Trust and TAM in online shopping: an integrated model
MIS Quarterly
Information about information: a taxonomy of views
MIS Quarterly
Information Systems Research
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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 our assertions that users operate differently above and below a trust tipping point.