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Exploring regional differences in Chinese consumer acceptance of new mobile technology: A qualitative study

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  • Song, Jinzhu
  • Drennan, Judy C.
  • Andrews, Lynda M.

Abstract

This study examines consumer adoption of 3G mobile technology in China. The qualitative study involved 45 in-depth interviews undertaken in three major Chinese cities to explore the beliefs and attitudes which determine Chinese consumers’ acceptance of the mobile technological innovation. The findings are compared and contrasted against those reported in Western studies. The variations underpinning adoption of 3G between consumers in the three regional cities were identified. Specifically, it was found that the regions differed in terms of the relative importance of the identified adoption determinants, such as perceived social outcomes for using the innovation and the effects of social influence on the adoption. These findings provide subtle insight into the nature of Chinese consumers’ responses to new mobile technologies and a better understanding of variations among regional Chinese consumers.

Suggested Citation

  • Song, Jinzhu & Drennan, Judy C. & Andrews, Lynda M., 2012. "Exploring regional differences in Chinese consumer acceptance of new mobile technology: A qualitative study," Australasian marketing journal, Elsevier, vol. 20(1), pages 80-88.
    • Handle: RePEc:eee:aumajo:v:20:y:2012:i:1:p:80-88
    DOI: 10.1016/j.ausmj.2011.08.002
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    1. Chol Lee & Robert T Green, 1991. "Cross-Cultural Examination of the Fishbein Behavioral Intensions Model," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 22(2), pages 289-305, June.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. 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.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Lai, Fujun & Griffin, Mitch & Babin, Barry J., 2009. "How quality, value, image, and satisfaction create loyalty at a Chinese telecom," Journal of Business Research, Elsevier, vol. 62(10), pages 980-986, October.
    6. Jones, Derek C. & Li, Cheng & Owen, Ann L., 2003. "Growth and regional inequality in China during the reform era," China Economic Review, Elsevier, vol. 14(2), pages 186-200.
    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. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    9. Yang, Kiseol & Jolly, Laura D., 2009. "The effects of consumer perceived value and subjective norm on mobile data service adoption between American and Korean consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 16(6), pages 502-508.
    10. Kevin Y Au, 1999. "Intra-cultural Variation: Evidence and Implications for International Business," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 30(4), pages 799-812, December.
    11. Burnkrant, Robert E & Cousineau, Alain, 1975. "Informational and Normative Social Influence in Buyer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 206-215, December.
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    2. 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.

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