Abstract
This paper proposes an integrated model to investigate the determinants of user mobile commerce acceptance on the basis of innovation diffusion theory, technology acceptance model and theory of planned behavior considering the important role of personal innovativeness in the initial stage of technology adoption. The proposed model was empirically tested using data collected from a survey of MC consumers. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. Our findings indicated that all variables except Perceived risk and perceived ease of use significantly affected users’ behavioral intent.
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Liu, Ds., Chen, W. (2009). An Empirical Research on the Determinants of User M-Commerce Acceptance. In: Lee, R., Ishii, N. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Studies in Computational Intelligence, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01203-7_8
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DOI: https://doi.org/10.1007/978-3-642-01203-7_8
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