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Technology Acceptance Model: A Survey of Literature

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  • Priyanka Surendran

    (Lecturer,AMA International University, Bahrain)

Abstract

The technology acceptance model has been a theory that is most widely used to explain an individual’s acceptance of an information system. This study has reviewed numerous literatures available in this area. The different studies in this area were evaluated to understand the modifications that were done on this model. The paper then tries to provide an insight on future trends in the technology acceptance model.

Suggested Citation

  • Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, LAR Center Press, vol. 2(4), pages 175-178, August.
    • Handle: RePEc:lrc:larijb:v:2:y:2012:i:4:p:175-178
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    1. Mari Ervasti & Heli Helaakoski, 2010. "Case study of application-based mobile service acceptance and development in Finland," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 9(3), pages 243-259.
    2. Heijden, Hans van der, 2000. "Using the technology acceptance model to predict website usage : extensions and empirical test," Serie Research Memoranda 0025, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
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    2. Siahaan, Andysah Putera Utama & Nasution, Muhammad Dharma Tuah Putra, 2018. "Online Shoppers Acceptance An Exploratory Study," INA-Rxiv 4hs6x, Center for Open Science.
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    13. Lestari, Diyan, 2019. "Measuring e-commerce adoption behaviour among gen-Z in Jakarta, Indonesia," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 103-115.
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    18. Xin Yi Chan & Muhammad Khalilur Rahman & Abdullah Al Mamun & Anas A. Salameh & Wan Mohd Hirwani Wan Hussain & Syed Shah Alam, 2022. "Predicting the Intention and Adoption of Mobile Shopping During the COVID-19 Lockdown in Malaysia," SAGE Open, , vol. 12(2), pages 21582440221, April.
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