2001
DOI: 10.3127/ajis.v9i1.229
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Customers' Beliefs Behind Business-to-Consumer Electronic Commerce

Abstract: With the rising importance of electronic commerce, it is important for researchers and company executives to understand customers' beliefs behind online shopping behaviour. This proposed study extends the technology acceptance model (TAM) to test the influence of experience, self-efficacy, perceived risk, and social influence on customers' acceptance of the business-to-consumer (b2c) e-commerce.

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Cited by 4 publications
(2 citation statements)
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References 39 publications
(87 reference statements)
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“…The new e-economy Booz Allen Hamilton ( 2002) define the new e-economy as a dynamic system of interactions between a nation's citizens, businesses and government that capitalise upon online technology to achieve a social or economic good (Booz Allen Hamilton, 2002). Thus e-commerce is often categorised as either business-to-business (B2B), a paper free swapping of business information over the Internet, or as business-to-consumer (B2C) where businesses sell products or services online (Lim, 2001). Rayport and Jaworski (2001) suggest two other categories, that of Consumer-to-Consumer (C2C) and Consumer-to-Business (C2B).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The new e-economy Booz Allen Hamilton ( 2002) define the new e-economy as a dynamic system of interactions between a nation's citizens, businesses and government that capitalise upon online technology to achieve a social or economic good (Booz Allen Hamilton, 2002). Thus e-commerce is often categorised as either business-to-business (B2B), a paper free swapping of business information over the Internet, or as business-to-consumer (B2C) where businesses sell products or services online (Lim, 2001). Rayport and Jaworski (2001) suggest two other categories, that of Consumer-to-Consumer (C2C) and Consumer-to-Business (C2B).…”
Section: Literature Reviewmentioning
confidence: 99%
“…It draws upon previous research on flow as Perceived Playfulness is fundamentally based on flow. Prior work related to the state of flow with information technologies has highlighted four key factors that influence individuals to experience flownamely:  personal innovativeness (Aggarwal and Karahanna, 2000;Finneran and Zhang, 2005),  self efficacy (Ghani et al, 1991;Hoffman and Novak, 1996;Novak et al, 2000;Lim, 2001;Koufaris, 2002),  control (Ghani et al, 1991;Trevino and Webster, 1992;Webster et al, 1993;Ghani and Despande, 1994;Webster and Ho, 1997;Chen 2000;Koufaris, 2002;Chung and Tan, 2004),…”
Section: Individual Differences and Autotelic Personalitymentioning
confidence: 99%