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Factors affecting camera mobile phone adoption before e-shopping in the Arab world

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  • Rouibah, Kamel
  • Abbas, Hasan
  • Rouibah, Samia

Abstract

With the seamless inclusion of a camera-mobile phone (CMP) as a regular part of people’s everyday life, businesses have tried to explore their potential as an e-commerce tool. Even without the Internet, CMP is a new technology that is in widespread use in the State of Kuwait. This study reports on the findings of a study exploring the intention to use and acceptance use of CMP prior to retail purchases using the second technology acceptance model (TAM 2) in a collectivism culture where social group affects individual decisions. Based on a sample of 151 users in Kuwait, the study reveals that TAM 2 provides limited results. The intention to use CMP is only determined by subjective norms, ease of use and camera usefulness. Surprisingly, the study results revealed that the contribution of social norms on intention to use is weak and less than that of usefulness. Among external variables (image, job relevancy, output quality, and result demonstrability), only job relevancy exerts an indirect effect on the intention to use via the "usefulness" component of this model.

Suggested Citation

  • Rouibah, Kamel & Abbas, Hasan & Rouibah, Samia, 2011. "Factors affecting camera mobile phone adoption before e-shopping in the Arab world," Technology in Society, Elsevier, vol. 33(3), pages 271-283.
    • Handle: RePEc:eee:teinso:v:33:y:2011:i:3:p:271-283
    DOI: 10.1016/j.techsoc.2011.10.001
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    References listed on IDEAS

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    1. McGuire, William J, 1976. "Some Internal Psychological Factors Influencing Consumer Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(4), pages 302-319, March.
    2. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    3. Gerpott, Torsten J., 2010. "Impacts of mobile Internet use intensity on the demand for SMS and voice services of mobile network operators: An empirical multi-method study of German mobile Internet customers," Telecommunications Policy, Elsevier, vol. 34(8), pages 430-443, September.
    4. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    5. 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.
    6. Kamel Rouibah & Hasan A. Abbas, 2010. "Effect of Personal Innovativeness, Attachment Motivation and Social Norms on the Acceptance of Camera Mobile Phones: An Empirical Study in an Arab Country," International Journal of Handheld Computing Research (IJHCR), IGI Global, vol. 1(4), pages 41-62, October.
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    Cited by:

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    3. Huiying Du & Ge Zhu & Tingjie Lv & Xuan Sun, 2012. "Factors Affecting Purchase Intention on 3G Value-added Services," Jindal Journal of Business Research, , vol. 1(2), pages 139-152, December.
    4. Maria Tsourela & Dafni-Maria Nerantzaki, 2020. "An Internet of Things (IoT) Acceptance Model. Assessing Consumer’s Behavior toward IoT Products and Applications," Future Internet, MDPI, vol. 12(11), pages 1-23, November.

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