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Modeling User Acceptance of In-Vehicle Applications for Safer Road Environment

Author

Listed:
  • Siti Fatimah Abdul Razak

    (Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia)

  • Sumendra Yogarayan

    (Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia)

  • Mohd Fikri Azli Abdullah

    (Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia)

  • Afizan Azman

    (Faculty of Digital Technology and Media, Universiti Melaka, Melaka 78200, Malaysia)

Abstract

Driver acceptance studies are vital from the manufacturer’s perspective as well as the driver’s perspective. Most empirical investigations are limited to populations in the United States and Europe. Asian communities, particularly in Southeast Asia, which make for a large proportion of global car users, are underrepresented. To better understand the user acceptance toward in-vehicle applications, additional factors need to be included in order to complement the existing constructs in the Technology Acceptance Model (TAM). Hypotheses were developed and survey items were designed to validate the constructs in the research model. A total of 308 responses were received among Malaysians via convenience sampling and analyzed using linear and non-linear regression analyses. Apart from that, a mediating effect analysis was also performed to assess the indirect effect a variable has on another associated variable. We extended the TAM by including personal characteristics, system characteristics, social influence and trust, which could influence users’ intention to use the in-vehicle applications. We found that users from Malaysia are more likely to accept in-vehicle applications when they have the information about the system and believe that the applications are reliable and give an advantage in their driving experience. Without addressing the user acceptance, the adoption of the applications may progress more slowly, with the additional unfortunate result that potentially avoidable crashes will continue to occur.

Suggested Citation

  • Siti Fatimah Abdul Razak & Sumendra Yogarayan & Mohd Fikri Azli Abdullah & Afizan Azman, 2022. "Modeling User Acceptance of In-Vehicle Applications for Safer Road Environment," Future Internet, MDPI, vol. 14(5), pages 1-21, May.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:5:p:148-:d:813523
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    References listed on IDEAS

    as
    1. Adnan, Nadia & Md Nordin, Shahrina & bin Bahruddin, Mohamad Ariff & Ali, Murad, 2018. "How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 819-836.
    2. Bansal, Prateek & Kockelman, Kara M., 2017. "Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 49-63.
    3. Alaa M. Momani, 2020. "The Unified Theory of Acceptance and Use of Technology: A New Approach in Technology Acceptance," International Journal of Sociotechnology and Knowledge Development (IJSKD), IGI Global, vol. 12(3), pages 79-98, July.
    4. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    Full references (including those not matched with items on IDEAS)

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