An Integrated Model of Innovation Acceptance, Service Quality, Marketing Mix, and Environmental Attitudes Influencing BEV Purchase Decisions in Thailand
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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.
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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. Retrieved from https://corporatefinanceinstitute.com/resources/data-science/durbin-watson-statistic/
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., Babin, B. J., Anderson, R. E., & Black, W. C. (2019). Multivariate data analysis. (8th ed.). England: Pearson Prentice.
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, July 10). 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, R., & Darawong, C. (2024). Service Quality of Car Maintenance and Repair Centers in Thailand: A Comparison between Electric and Internal Combustion Engine Vehicles. Journal of Business, Innovation and Sustainability (JBIS), 19(3). Retrieved from https://so02.tci-thaijo.org/index.php/BECJournal/article/view/270119
McKinsey & Company. (2025, June 9). State of the consumer 2025: When disruption becomes permanent. Retrieved from https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/state-of-consumer
Murphy, K. C. (2024). Using the TOWS Matrix for Strategy Formulation. Retrieved from https://kylemurphy.com/2024/02/15/using-the-tows-matrix-for-strategy-formulation/
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
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
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
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.
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
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
Sajjanit, C. (2024). Service quality dimensions from the perspectives of consumers, service providers, and scholars in Thailand. Journal of Administration and Social Science Review, 7(6), 23-38. Retrieved from https://so03.tci-thaijo.org/index.php/assr/article/download/281051
The Government Public Relations Department (PRD), Thailand. (2023, December 20). 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
The International Energy Agency (IEA). (2024, April 23). Global EV Outlook 2024. Retrieved from https://www.iea.org/reports/global-ev-outlook-2024
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., Hameed, Z., Ayidh Alsubaie, M., & Ur Rehman, S. (2022). Service quality and customer satisfaction in the post pandemic world: a study of Saudi auto care industry. Frontiers in Psychology, 13, 842141. https://doi.org/10.3389/fpsyg.2022.842141