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Understanding the Emergence and Social Acceptance of Electric Vehicles as Next-Generation Models for the Automobile Industry

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  • Eunil Park

    (College of Computing, Hanyang University, 55 Hanyangdeahak-ro, Sangnok-gu, Ansan 15588, Gyeonggi-do, Korea)

  • Jooyoung Lim

    (College of Computing, Hanyang University, 55 Hanyangdeahak-ro, Sangnok-gu, Ansan 15588, Gyeonggi-do, Korea)

  • Yongwoo Cho

    (College of Computing, Hanyang University, 55 Hanyangdeahak-ro, Sangnok-gu, Ansan 15588, Gyeonggi-do, Korea)

Abstract

This study explores potential factors of drivers’ intentions to use electric vehicles and proposes an integrated adoption model. Results of a structural equation modeling analysis with 988 samples indicate that drivers’ intentions are predicted by one negative factor (cost) and three positive ones (satisfaction, usefulness, and attitude). In addition, the total standardized effects of potential factors on the intention are computed. The current study also validates the original technology acceptance model. Based on the results of the current study, practical and academic implications with potential limitations are examined and presented.

Suggested Citation

  • Eunil Park & Jooyoung Lim & Yongwoo Cho, 2018. "Understanding the Emergence and Social Acceptance of Electric Vehicles as Next-Generation Models for the Automobile Industry," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:662-:d:134182
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    Cited by:

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    6. Bogdan Ovidiu Varga & Arsen Sagoian & Florin Mariasiu, 2019. "Prediction of Electric Vehicle Range: A Comprehensive Review of Current Issues and Challenges," Energies, MDPI, vol. 12(5), pages 1-19, March.
    7. Krishnan, V. Vijai & Sreekumar, M., 2023. "An integrated behavioral approach to analyze the adoption of electric vehicles in the context of a developing country," Transport Policy, Elsevier, vol. 142(C), pages 162-172.
    8. Panayotis Christidis & Caralampo Focas, 2019. "Factors Affecting the Uptake of Hybrid and Electric Vehicles in the European Union," Energies, MDPI, vol. 12(18), pages 1-16, September.
    9. Chien-Wei Ho & Chi-Chuan Wu, 2021. "Exploring Intention toward Using an Electric Scooter: Integrating the Technology Readiness and Acceptance into Norm Activation Model (TRA-NAM)," Energies, MDPI, vol. 14(21), pages 1-11, October.
    10. Paweł Ziemba, 2020. "Multi-Criteria Stochastic Selection of Electric Vehicles for the Sustainable Development of Local Government and State Administration Units in Poland," Energies, MDPI, vol. 13(23), pages 1-19, November.
    11. Gábor Horváth & Attila Bai & Sándor Szegedi & István Lázár & Csongor Máthé & László Huzsvai & Máté Zakar & Zoltán Gabnai & Tamás Tóth, 2023. "A Comprehensive Review of the Distinctive Tendencies of the Diffusion of E-Mobility in Central Europe," Energies, MDPI, vol. 16(14), pages 1-29, July.
    12. Monika Pröbster & Nicola Marsden, 2023. "The Social Perception of Autonomous Delivery Vehicles Based on the Stereotype Content Model," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    13. Zhang, Lei & Tong, Hangyan & Liang, Yuqing & Qin, Quande, 2023. "Consumer purchase intention of new energy vehicles with an extended technology acceptance model: The role of attitudinal ambivalence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    14. Farida Shaban & Pelopidas Siskos & Christos Tjortjis, 2023. "Electromobility Prospects in Greece by 2030: A Regional Perspective on Strategic Policy Analysis," Energies, MDPI, vol. 16(16), pages 1-17, August.
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    16. Wojciech Lewicki & Wojciech Drozdz & Piotr Wroblewski & Krzysztof Zarna, 2021. "The Road to Electromobility in Poland: Consumer Attitude Assessment," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 28-39.

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