An Integrated Model of Innovation Acceptance, Service Quality, Marketing Mix, and Environmental Attitudes Influencing BEV Purchase Decisions in Thailand
Main Article Content
Abstract
This article aimed to 1) examine the relationship between personal factors and the purchase decision of battery electric vehicles (BEVs) among working-age consumers in Bangkok, 2) analyze the influence of innovation acceptance, service quality, marketing mix, and environmental attitudes on BEV purchase decisions, and 3) develop strategic recommendations for entrepreneurs and relevant agencies. A mixed-methods research design was employed, comprising qualitative data collection from 24 key informants and quantitative data from 400 respondents. Data were analyzed using descriptive statistics, Pearson’s correlation, and multiple regression analysis. The findings revealed that 1) most respondents were female (67.25%), aged 30–39 years (41.00%), held a bachelor’s degree (58.00%), and had an average monthly income between 15,001 and 30,000 THB (32.00%). The level of BEV purchase decisions was very high. 2) Environmental attitudes had the strongest influence on purchase decisions, followed by the marketing mix. Service quality showed a negative influence, while innovation acceptance was not statistically significant. 3) The study demonstrated that the application of the SWOT–TOWS–Balanced Scorecard (BSC) framework effectively translated research findings into actionable strategic recommendations. At the business level, strategies included improving service quality and communicating environmental brand values. At the policy level, recommendations included long-term battery warranties, infrastructure support, and promoting collaboration among government, the private sector, and research institutions to foster the sustainable growth of the BEV industry in Thailand.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Views and opinions appearing in the Journal it is the responsibility of the author of the article, and does not constitute the view and responsibility of the editorial team.
References
Adekoya, D. O. (2024). Leveraging SWOT analysis for effective electric vehicle marketing: A literature review. Journal of Business, Innovation and Sustainability (JBIS), 19(4), 21-41. Retrieved from https://so02.tci-thaijo.org/index.php/BECJournal/article/view/269013
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Bangkok Post. (2024, June 28). Thai car buyers’ preferences shifting: Hybrids gain ground while interest in BEVs slips (Deloitte survey). Retrieved from https://www.bangkokpost.com/business/motoring/2819359/thai-car-buyers-preferences-shifting
Chonsalasin, D., Champahom, T., Jomnonkwao, S., Karoonsoontawong, A., Runkawee, N., & Ratanavaraha, V. (2024). Exploring the influence of Thai government policy perceptions on electric vehicle adoption: A measurement model and empirical analysis. Smart Cities, 7(4), 2258–2282. https://doi.org/10.3390/smartcities7040089
Corporate Finance Institute. (2024). Durbin Watson Statistic–Overview, How to Calculate and Interpret. Retrieved from https://corporatefinanceinstitute.com/resources/data-science/durbin-watson-statistic/2
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Field, A. (2018). Discovering statistics using IBM SPSS statistics. (5th ed.). London: Sage Publications.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis. (8th ed.). Massachusetts: Cengage Learning.
IEA. (2024). Global EV Outlook 2024. Retrieved from https://www.iea.org/reports/global-ev-outlook-2024
Kaplan, R. S., & Norton, D. P. (1996). The balanced scorecard: Translating strategy into action. Massachusetts: Harvard Business School Press.
Kim, H., & Lee, J. (2023). Environmental attitudes and green product purchase behavior among Asian consumers. International Journal of Environmental Research and Public Health, 20(7), 5312. https://doi.org/10.3390/ijerph20075312
Kotler, P., & Keller, K. L. (2022). Marketing management. (16th ed.). London: Pearson.
Krungsri Research. (2024). Industry outlook 2024–2026: Electric vehicle industry. Retrieved from https://www.krungsri.com/en/research/industry/industry-outlook/hi-tech-industries/electric-vehicle/io/electric-vehicle-2024
Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2005). Applied linear statistical models. (5th ed.). New York: McGraw-Hill Irwin.
Lapyen, S., & Darawong, C. (2024). Perceived service quality gaps in EV and ICEV repair centers in Thailand. Global Conference on Management and Economics, 12(1), 182-196. Retrieved from https://so02.tci-thaijo.org/index.php/BECJournal/article/view/270119
McKinsey & Company. (2025). State of the consumer 2025: Post-crisis behavior and expectations. Retrieved from https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/state-of-consumer
Murphy, K. C. (2024). Strategic management in international education: Models and practices for sustainable growth. Oxfordshire: Routledge.
Nation Thailand. (2024, September 27). Thailand sees a 13 percent decline in registration of new electric vehicles (DLT data). Retrieved from https://www.nationthailand.com/news/general/40041876
National Statistical Office of Thailand. (2024). Summary of the labor force survey: January 2024. Retrieved from https://www.nso.go.th/nsoweb/storage/survey_detail/2024/20240227101745_32024.pdf
Naylor, G. S. (2024). A half-century of SERVQUAL: Exploring its impact and future directions in service quality research. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 37(2), 43–68. Retrieved from https://jcsdcb.com/index.php/JCSDCB/article/view/1134
Ongsiriporn, P., & Maleewat, S. (2024). Environmental attitudes and brand loyalty in Thai hospitality industry. Asian Research Journal of Tourism, 10(1), 33–47. Retrieved from https://so03.tci-thaijo.org/index.php/art/article/download/273109
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40. Retrieved from https://psycnet.apa.org/record/1989-10632-001
Prabpayak, C., Boonchoo, T., & Jingjit, S. (2024). Motivators and environmental awareness for electric vehicle adoption in Thailand. World Electric Vehicle Journal, 16(3), 132. https://doi.org/10.3390/wevj16030132
Public Relations Department (PRD), Thailand. (2023). Government supports EV 3.5 measures to promote the use of electric vehicles (2024–2027). Retrieved from https://thailand.prd.go.th/ en/content/category/detail/id/48/iid/242869
Robinson, J. (2024). Likert scale. In F. Maggino (Ed.), Encyclopedia of quality of life and well-being research (pp. 3917–3918). Cham: Springer. https://doi.org/10.1007/978-3-031-17299-1_1654
Satchanit, C. (2023). Service quality dimensions from the perspectives of consumers, providers, and academics in Thailand. Asian Social Science Review, 15(2), 45–62. Retrieved from https://so03.tci-thaijo.org/index.php/assr/article/download/281051
Sajjanit, C. (2024). Service quality dimensions and the 7C marketing mix in Thai context. Journal of Administration and Social Science Review, 7(6), 2323-38. Retrieved from https://so03.tci-thaijo.org/index.php/assr/article/view/281051
Weihrich, H. (1982). The TOWS matrix—A tool for situational analysis. Long Range Planning, 15(2), 54–66. https://doi.org/10.1016/0024-6301(82)90120-0
Yamane, T. (1967). Statistics: An introductory analysis. (2nd ed.). New York: Harper & Row.
Zygiaris, S., Alqahtani, M., & Alshahrani, A. (2022). Social media transparency and service quality perception in post-crisis automotive care. Frontiers in Psychology, 13, Article 842141. https://doi.org/10.3389/fpsyg.2022.842141