Author List: Liu, Ben Q.; Goodhue, Dale L.;
Information Systems Research, 2012, Volume 23, Issue 4, Page 1246-1262.
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.
Keywords: accessibility-diagnosticity; bounded rationality; humans as cognitive misers; piecewise regression; task-technology fit; trust; web aesthetics
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#278 0.133 website users websites technostress stress time online wait delay aesthetics user model image elements longer waiting appeal attract utility internet
#121 0.126 human awareness conditions point access humans images accountability situational violations result reduce moderation gain people features presence increase uses means
#172 0.125 trust trusting study online perceived beliefs e-commerce intention trustworthiness relationships benevolence initial importance trust-building examines discussed building future context transactions
#295 0.120 task fit tasks performance cognitive theory using support type comprehension tools tool effects effect matching types theories modification working time
#227 0.099 commitment need practitioners studies potential role consider difficult models result importance influence researchers established conduct investigated establishing appear clearly determining
#284 0.099 users user new resistance likely benefits potential perspective status actual behavior recognition propose user's social associated existing base using acceptance
#215 0.089 data classification statistical regression mining models neural methods using analysis techniques performance predictive networks accuracy method variables prediction problem measure
#51 0.055 results study research experiment experiments influence implications conducted laboratory field different indicate impact effectiveness future participants evidence test controlled involving