Author List: Pavlou, Paul A.; Fygenson, Mendel;
MIS Quarterly, 2006, Volume 30, Issue 1, Page 115-143.
This paper extends Ajzen's (1991) theory of planned behavior (TPB) to explain and predict the process of e-commerce adoption by consumers. The process is captured through two online consumer behaviors: (1) getting information and (2) purchasing a product from a Web vendor. First, we simultaneously model the association between these two contingent online behaviors and their respective intentions by appealing to consumer behavior theories and the theory of implementation intentions, respectively. Second, following TPB, we derive for each behavior its intention, attitude, subjective norm, and perceived behavioral control (PBC). Third, we elicit and test a comprehensive set of salient beliefs for each behavior. A longitudinal study with online consumers supports the proposed e-commerce adoption model, validating the predictive power of TPB and the proposed conceptualization of PBC as a higher-order factor formed by self-efficacy and controllability. Our findings stress the importance of trust and technology adoption variables (perceived usefulness and ease of use) as salient beliefs for predicting ecommerce adoption, justifying the integration of trust and technology adoption variables within the TPB framework. In addition, technological characteristics (download delay, Website navigability, and information protection), consumer skills, time and monetary resources, and product characteristics (product diagnosticity and product value) add to the explanatory and predictive power of our model. Implications for Information Systems, e-commerce, TPB, and the study of trust are discussed.
Keywords: consumer behavior; controllability; electronic commerce; perceived behavioral control; self-efficacy; technology acceptance model; technology adoption; Theory of planned behavior; trust
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#140 0.190 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#118 0.187 online consumers consumer product purchase shopping e-commerce products commerce website electronic results study behavior experience b2c impact internet purchases websites
#99 0.099 perceived usefulness acceptance use technology ease model usage tam study beliefs intention user intentions users behavioral perceptions determinants constructs studies
#49 0.089 adoption diffusion technology adopters innovation adopt process information potential innovations influence new characteristics early adopting set compatibility time initial current
#75 0.083 behavior behaviors behavioral study individuals affect model outcomes psychological individual responses negative influence explain hypotheses expected theories consequences impact theory
#125 0.068 framework model used conceptual proposed given particular general concept frameworks literature developed develop providing paper developing guidelines concepts appropriate set
#133 0.054 data predictive analytics sharing big using modeling set power inference behavior explanatory related prediction statistical generated substantially novel building million
#172 0.052 trust trusting study online perceived beliefs e-commerce intention trustworthiness relationships benevolence initial importance trust-building examines discussed building future context transactions