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User resistance to acceptance of In-Vehicle Infotainment (IVI) systems

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  • Kim, Junghwan
  • Kim, Seongcheol
  • Nam, Changi

Abstract

Recently, automobile companies have begun to expand their partnerships with major information technology (IT) companies by adopting in-vehicle infotainment (IVI) systems for use in ‘smart cars’. An IVI system provides embedded infotainment services that include not only navigation, but also access to a wider variety of content. In order to lead in the vehicle-IT convergence market, players need to be successful in offering IVI services. Although the vehicle-IT convergence market is growing rapidly, the availability and readiness of IVI systems in the Korean market seem to be different from that in other markets, such as North America and Western Europe. For that reason, this paper refers to the innovation resistance model in order to investigate the factors that impact the resistance to IVI systems in the Korean market. The empirical analysis was conducted in Korea and the results show that the technographics, subjective norm, and prior similar experience are direct and powerful antecedents for resistance. Contrary to expectations, prior similar experience triggered negative perception toward IVI systems. The results give implications not only for car makers and network operators, but also for policy makers.

Suggested Citation

  • Kim, Junghwan & Kim, Seongcheol & Nam, Changi, 2016. "User resistance to acceptance of In-Vehicle Infotainment (IVI) systems," Telecommunications Policy, Elsevier, vol. 40(9), pages 919-930.
    • Handle: RePEc:eee:telpol:v:40:y:2016:i:9:p:919-930
    DOI: 10.1016/j.telpol.2016.07.006
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    References listed on IDEAS

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    1. Shin, Dong-Hee, 2010. "MVNO services: Policy implications for promoting MVNO diffusion," Telecommunications Policy, Elsevier, vol. 34(10), pages 616-632, November.
    2. 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.
    3. 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.
    4. 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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    Cited by:

    1. Park, Jiyoun & Nam, Changi & Kim, Hye-jin & Kim, Seongcheol, 2018. "What are the relative importance of smart car utilities from consumer perspective and who will lead them?," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190334, International Telecommunications Society (ITS).
    2. Chen, Chia-Chen & Chang, Chin-Hsuan & Hsiao, Kuo-Lun, 2022. "Exploring the factors of using mobile ticketing applications: Perspectives from innovation resistance theory," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    3. Huang, Dan & Jin, Xin & Coghlan, Alexandra, 2021. "Advances in consumer innovation resistance research: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Park, Jiyoun & Nam, Changi & Kim, Hye-jin, 2019. "Exploring the key services and players in the smart car market," Telecommunications Policy, Elsevier, vol. 43(10).
    5. Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
    6. Zhiyuan Yu & Doudou Jin, 2021. "Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    7. Liyuan Deng & Dongning Li & Jiangjie Chen, 2023. "Compatibility as a Prerequisite: Research on the Factors Influencing the Continuous Use Intention of In-vehicle Games Based on Diffusion of Innovations Theory," SAGE Open, , vol. 13(4), pages 21582440231, December.

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