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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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    1. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    2. Steinhilber, Simone & Wells, Peter & Thankappan, Samarthia, 2013. "Socio-technical inertia: Understanding the barriers to electric vehicles," Energy Policy, Elsevier, vol. 60(C), pages 531-539.
    3. Hannan, M.A. & Azidin, F.A. & Mohamed, A., 2014. "Hybrid electric vehicles and their challenges: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 135-150.
    4. Axsen, Jonn & Burke, Andy & Kurani, Kenneth S, 2010. "Are Batteries Ready for Plug-in Hybrid Buyers?," Institute of Transportation Studies, Working Paper Series qt7vh184rw, Institute of Transportation Studies, UC Davis.
    5. Manzetti, Sergio & Mariasiu, Florin, 2015. "Electric vehicle battery technologies: From present state to future systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1004-1012.
    6. Shahin Dezdar, 2017. "Green information technology adoption: influencing factors and extension of theory of planned behavior," Social Responsibility Journal, Emerald Group Publishing Limited, vol. 13(2), pages 292-306, June.
    7. Hartmann, Patrick & Apaolaza Ibanez, Vanessa, 2007. "Managing customer loyalty in liberalized residential energy markets: The impact of energy branding," Energy Policy, Elsevier, vol. 35(4), pages 2661-2672, April.
    8. Lee, Yongseung & Kim, Chongman & Shin, Juneseuk, 2016. "A hybrid electric vehicle market penetration model to identify the best policy mix: A consumer ownership cycle approach," Applied Energy, Elsevier, vol. 184(C), pages 438-449.
    9. Kim, Heetae & Park, Eunil & Kwon, Sang Jib & Ohm, Jay Y. & Chang, Hyun Joon, 2014. "An integrated adoption model of solar energy technologies in South Korea," Renewable Energy, Elsevier, vol. 66(C), pages 523-531.
    10. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    11. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    12. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    13. Paolo Iodice & Adolfo Senatore, 2016. "Atmospheric pollution from point and diffuse sources in a National Interest Priority Site located in Italy," Energy & Environment, , vol. 27(5), pages 586-596, August.
    14. Hong, Sungjun & Chung, Yanghon & Kim, Jongwook & Chun, Dongphil, 2016. "Analysis on the level of contribution to the national greenhouse gas reduction target in Korean transportation sector using LEAP model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 549-559.
    15. Paolo Iodice & Adolfo Senatore, 2015. "Industrial and Urban Sources in Campania, Italy: The Air Pollution Emission Inventory," Energy & Environment, , vol. 26(8), pages 1305-1317, December.
    16. Azadfar, Elham & Sreeram, Victor & Harries, David, 2015. "The investigation of the major factors influencing plug-in electric vehicle driving patterns and charging behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1065-1076.
    17. Axsen, Jonn & Kurani, Kenneth S. & Burke, Andrew, 2010. "Are batteries ready for plug-in hybrid buyers?," Transport Policy, Elsevier, vol. 17(3), pages 173-182, May.
    18. Sovacool, Benjamin K. & Hirsh, Richard F., 2009. "Beyond batteries: An examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transition," Energy Policy, Elsevier, vol. 37(3), pages 1095-1103, March.
    19. Ozaki, Ritsuko & Sevastyanova, Katerina, 2011. "Going hybrid: An analysis of consumer purchase motivations," Energy Policy, Elsevier, vol. 39(5), pages 2217-2227, May.
    20. Park, Eunil & Ohm, Jay Y., 2014. "Factors influencing the public intention to use renewable energy technologies in South Korea: Effects of the Fukushima nuclear accident," Energy Policy, Elsevier, vol. 65(C), pages 198-211.
    21. Maxwell Brown, 2013. "Catching the PHEVer: Simulating Electric Vehicle Diffusion with an Agent-Based Mixed Logit Model of Vehicle Choice," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(2), pages 1-5.
    22. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    23. Stef Proost & Kurt van Dender, 2010. "What Sustainable Road Transport Future?: Trends and Policy Options," OECD/ITF Joint Transport Research Centre Discussion Papers 2010/14, OECD Publishing.
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    Cited by:

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    5. 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.
    6. Jie Ma & Lin Cheng & Dawei Li & Qiang Tu, 2018. "Stochastic Electric Vehicle Network Considering Environmental Costs," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
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    11. 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.
    12. 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).
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    15. 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.
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