Author List: Komiak, Sherrie Y. X.; Benbasat, Izak;
MIS Quarterly, 2006, Volume 30, Issue 4, Page 941-960.
In the context of personalization technologies, such as Web-based product-brokering recommendation agents (RAs) in electronic commerce, existing technology acceptance theories need to be expanded to take into account not only the cognitive beliefs leading to adoption behavior, but also the affect elicited by the personalized nature of the technology. This study takes a trust-centered, cognitive and emotional balanced perspective to study RA adoption. Grounded on the theory of reasoned action, the IT adoption literature, and the trust literature, this study theoretically articulates and empirically examines the effects of perceived personalization and familiarity on cognitive trust and emotional trust in an RA, and the impact of cognitive trust and emotional trust on the intention to adopt the RA either as a decision aid or as a delegated agent. An experiment was conducted using two commercial RAs. PLS analysis results provide empirical support for the proposed theoretical perspective. Perceived personalization significantly increases customers' intention to adopt by increasing cognitive trust and emotional trust. Emotional trust plays an important role beyond cognitive trust in determining customers' intention to adopt. Emotional trust fully mediates the impact of cognitive trust on the intention to adopt the RA as a delegated agent, while it only partially mediates the impact of cognitive trust on the intention to adopt the RA as a decision aid. Familiarity increases the intention to adopt through cognitive trust and emotional trust.
Keywords: Trust; electronic commerce; adoption; personalization; familiarity; cognitive trust; emotional trust; recommendation agent; delegation
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List of Topics

#172 0.234 trust trusting study online perceived beliefs e-commerce intention trustworthiness relationships benevolence initial importance trust-building examines discussed building future context transactions
#13 0.112 personalization content personalized willingness web pay online likelihood information consumers cues customers consumer services elaboration preference experiment framing customized timing
#49 0.102 adoption diffusion technology adopters innovation adopt process information potential innovations influence new characteristics early adopting set compatibility time initial current
#173 0.100 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship
#177 0.087 decision accuracy aid aids prediction experiment effects accurate support making preferences interaction judgment hybrid perceptual strategy account context restrictiveness taking
#205 0.078 cognitive style research rules styles human individual personality indicates stopping users composition analysis linguistic contextual certain differences preferred theoretical activity
#290 0.077 emotions research fmri emotional neuroscience study brain neurois emotion functional neurophysiological distrust cognitive related imaging tools effects warnings magnetic turn
#94 0.075 effort users advice ras trade-off recommendation agents difficulty decision make acceptance product loss trade-offs context perceived influence laboratory reasons consumers