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2003•Journal of the Association for Information SystemsOpen access

An Empirical Study of Consumers Adopting Mobile Commerce in Taiwan: Analyzed by Structural Equation Modeling

Jen‐Her Wu, Shu-Ching Wang

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Abstract

While online technologies and applications are rapidly and widely utilized and adopted in e-commerce, it is extremely important to better understand the perceptions of consumers' use, and acceptance in mobile commerce (MC).This paper adopts the extended technology acceptance model (TAM2) and integrated it with the innovation diffusion theory and the perceived risk variable to model users' acceptance of using MC.An Empirical study was conducted, the proposed research model was evaluated by structural equation modeling, and then confirmatory factor analysis was applied to test if the empirical data confirmed to the presumed model.

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What this paper is about

While online technologies and applications are rapidly and widely utilized and adopted in e-commerce, it is extremely important to better understand the perceptions of consumers' use, and acceptance in mobile commerce (MC).This paper adopts the extended technology acceptance model (TAM2) and integrated it with the innovation diffusion theory and the perceived risk variable to model users' acceptance of using MC.An Empirical study was conducted, the proposed research model was evaluated by structural equation modeling, and then confirmatory factor analysis was applied to test if the empirical data confirmed to the presumed model.

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Available abstract

While online technologies and applications are rapidly and widely utilized and adopted in e-commerce, it is extremely important to better understand the perceptions of consumers' use, and acceptance in mobile commerce (MC).This paper adopts the extended technology acceptance model (TAM2) and integrated it with the innovation diffusion theory and the perceived risk variable to model users' acceptance of using MC.An Empirical study was conducted, the proposed research model was evaluated by structural equation modeling, and then confirmatory factor analysis was applied to test if the empirical data confirmed to the presumed model.

Key concepts: Structural equation modeling, Empirical research, Technology acceptance model, Confirmatory factor analysis, Mobile commerce, Computer science, Risk perception, E-commerce

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