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Self-construal's role in mobile TV acceptance: Extension of TAM across cultures

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  • Choi, Yung Kyun
  • Totten, Jeff W.

Abstract

This research investigates the effects of cultural differences (individualism vs. collectivism) on the acceptance of mobile TV by identifying self-construal (independent vs. interdependent) as a possible antecedent of the Technology Acceptance Model (TAM). Surveying 817 university students in Korea and the United States, the study found that TAM is consistently stable across countries, and that individual-level cultural orientation had significant effects on the model as a direct antecedent of TAM. However, the relationships between self-construal and TAM variables were rather mixed. As hypothesized, interdependence was more important for Koreans' subjective norms and perceived usefulness, whereas independence was more important for Americans' subjective norms. Unexpectedly, however, the direction was reversed in the case of perceived ease of use. Moderating effects of country culture appeared also in the relative effects of perceived ease of use and perceived usefulness on attitude. Perceived ease of use was more important for attitude in the US, while perceived usefulness mattered more in Korea. By adding self-construal as an antecedent variable, the study effectively explains how users' individual value orientation shapes TAM. This approach can provide deeper understanding into the adoption of new technology and suggest to marketers better strategies for directly dealing with consumer characteristics in promoting mobile TV technology.

Suggested Citation

  • Choi, Yung Kyun & Totten, Jeff W., 2012. "Self-construal's role in mobile TV acceptance: Extension of TAM across cultures," Journal of Business Research, Elsevier, vol. 65(11), pages 1525-1533.
  • Handle: RePEc:eee:jbrese:v:65:y:2012:i:11:p:1525-1533
    DOI: 10.1016/j.jbusres.2011.02.036
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    References listed on IDEAS

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    1. 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.
    2. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    3. Gregory, Gary D. & Munch, James M. & Peterson, Mark, 2002. "Attitude functions in consumer research: comparing value-attitude relations in individualist and collectivist cultures," Journal of Business Research, Elsevier, vol. 55(11), pages 933-942, November.
    4. Brenda Mak & Robert C. Nickerson & Henri Isaac, 2009. "A Model Of Attitudes Towards The Acceptance Of Mobile Phone Use In Public Places," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 305-326.
    5. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    6. Cleveland, Mark & Laroche, Michel, 2007. "Acculturaton to the global consumer culture: Scale development and research paradigm," Journal of Business Research, Elsevier, vol. 60(3), pages 249-259, March.
    7. 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.
    8. Bruner, Gordon II & Kumar, Anand, 2005. "Explaining consumer acceptance of handheld Internet devices," Journal of Business Research, Elsevier, vol. 58(5), pages 553-558, May.
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