Author List: Kim, Dan J.; Ferrin, Donald L.; Rao, H. Raghav;
Information Systems Research, 2009, Volume 20, Issue 2, Page 237-257.
Trust and satisfaction are essential ingredients for successful business relationships in business-to-consumer electronic commerce. Yet there is little research on trust and satisfaction in e-commerce that takes a longitudinal approach. Drawing on three primary bodies of literature, the theory of reasoned action, the extended valence framework, and expectation-confirmation theory, this study synthesizes a model of consumer trust and satisfaction in the context of e-commerce. The model considers not only how consumers formulate their prepurchase decisions, but also how they form their long-term relationships with the same website vendor by comparing their prepurchase expectations to their actual purchase outcome. The results indicate that trust directly and indirectly affects a consumer's purchase decision in combination with perceived risk and perceived benefit, and also that trust has a longer term impact on consumer e-loyalty through satisfaction. Thus, this study extends our understanding of consumer Internet transaction behavior as a three-fold (prepurchase, purchase, and postpurchase) process, and it recognizes the crucial, multiple roles that trust plays in this process. Implications for theory and practice as well as limitations and future directions are discussed.
Keywords: consumer satisfaction; e-loyalty; expectation-confirmation theory; extended valence framework; purchase and repurchase intentions in B2C e-commerce; trust in e-commerce
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#118 0.213 online consumers consumer product purchase shopping e-commerce products commerce website electronic results study behavior experience b2c impact internet purchases websites
#172 0.205 trust trusting study online perceived beliefs e-commerce intention trustworthiness relationships benevolence initial importance trust-building examines discussed building future context transactions
#140 0.181 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#276 0.089 satisfaction information systems study characteristics data results using user related field survey empirical quality hypotheses important success various indicate tested
#132 0.083 likelihood multiple test survival promotion reputation increase actions run term likely legitimacy important rates findings long short higher argue prior
#292 0.074 information research literature systems framework review paper theoretical based potential future implications practice discussed current concept propositions findings provided extant