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Lifestyles and Mobile Services Adoption in China

Author

Listed:
  • Shang Gao

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan, China)

  • John Krogstie

    (Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway)

  • Zhihao Chen

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan, China)

  • Wenyan Zhou

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan, China)

Abstract

Along with the popularity of mobile devices and advances in wireless technology, mobile services have become more and more prevalent. To the best of knowledge, despite the potential importance of lifestyle, little research has been performed on the effect of various lifestyle factors on mobile services diffusion, particularly in the Chinese context. This study examines the relationship between the lifestyles of Chinese consumers and the adoption of mobile services. Based on a sample of 313 respondents from the biggest city in central China, one can show that consumers with different lifestyles have different preferences related to a number of the identified mobile services. Furthermore, Chinese consumers are clustered into four lifestyle segments by two dimensions: the quality-awareness fashionable dimension and the economical dimension. The findings demonstrate that the quality-awareness fashionable dimension has stronger impact than the economical dimension toward the adoption of all the five types of mobile services.

Suggested Citation

  • Shang Gao & John Krogstie & Zhihao Chen & Wenyan Zhou, 2014. "Lifestyles and Mobile Services Adoption in China," International Journal of E-Business Research (IJEBR), IGI Global, vol. 10(3), pages 36-53, July.
    • Handle: RePEc:igg:jebr00:v:10:y:2014:i:3:p:36-53
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    Cited by:

    1. Zhang, Yixue & Zhao, Pengjun & Lin, Jen-Jia, 2021. "Exploring shopping travel behavior of millennials in Beijing: Impacts of built environment, life stages, and subjective preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 49-60.
    2. Alam, Mohammad Zahedul & Hu, Wang & Kaium, Md Abdul & Hoque, Md Rakibul & Alam, Mirza Mohammad Didarul, 2020. "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technology in Society, Elsevier, vol. 61(C).

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