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Understanding Internet service switching behaviour based on the stage model

Author

Listed:
  • Chang Hee Han

    (Hanyang University)

  • Swati Tyagi

    (Cubic Transportation Systems (Australia) Pty Limited)

  • Namgyu Kim

    (Kookmin University)

  • Byounggu Choi

    (Kookmin University)

Abstract

As customer switching is the major concern in the competitive Internet industry, many studies have sought to identify the determinants that cause customers to switch in order to build effective customer retention strategies. However, they were found to be insufficient for explaining the determinants and processes related to service switching. To fill this gap, this study attempts to provide a theoretical mechanism explaining customer service switching behaviours. More specifically, this study examines three hypotheses that may help ISPs develop appropriate marketing and business strategies. Survey data collected from 151 ISP customers in Australia were analysed to test the hypotheses. The results identify four stages of customers switching behaviours and suggest that motivational variables for switching behaviours differ across stages. This study provides a stepping-stone for analysing the staged model in the service-switching context and will help managers enhance their customer retention capability, and thus improve their organizational performance.

Suggested Citation

  • Chang Hee Han & Swati Tyagi & Namgyu Kim & Byounggu Choi, 2016. "Understanding Internet service switching behaviour based on the stage model," Information Systems and e-Business Management, Springer, vol. 14(3), pages 665-689, August.
  • Handle: RePEc:spr:infsem:v:14:y:2016:i:3:d:10.1007_s10257-015-0299-y
    DOI: 10.1007/s10257-015-0299-y
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    References listed on IDEAS

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    1. Dahui Li & Glenn J. Browne & James C. Wetherbe, 2007. "Online Consumers' Switching Behavior: A Buyer-Seller Relationship Perspective," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 5(1), pages 30-42, January.
    2. H. Bock, 1985. "On some significance tests in cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 77-108, December.
    3. Lai, Jung-Yu & Wang, Juite, 2015. "Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 155-167.
    4. Wirtz, Jochen & Xiao, Ping & Chiang, Jeongwen & Malhotra, Naresh, 2014. "Contrasting the Drivers of Switching Intent and Switching Behavior in Contractual Service Settings," Journal of Retailing, Elsevier, vol. 90(4), pages 463-480.
    5. 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.
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