Factors Influencing Purchasing Decisions on Electric Vehicles (EV) Consumers in Nakhon Ratchasima Province

Authors

  • Ajcharapan Tangjaturasopon Faculty of Business Administration, Vongchavalitkul University

DOI:

https://doi.org/10.14456/nrru-rdi.2024.34

Keywords:

Purchasing Decisions, Electric Vehicles, Consumer Factors

Abstract

     Background and Objective: Behavioral situations of the automotive industry in Thailand is also witnessing a rapid increase in adoption of electric vehicles (EV). The study has the following objectives: 1) To make a comparison of consumers’ decision-making to purchase an EV based on individual factors in Nakhon Ratchasima Province, 2) To study factors affecting decision-making of consumers to purchase an EV in Nakhon Ratchasima Province, and 3) to create a predictive equation model for decision-making of consumers to purchase an EV in Nakhon Ratchasima Province.

              Methodology: This research carried out a quantitative method. The sample consisted of 405 respondents being consumers in Nakhon Ratchasima Province who had actively intention and decision to purchase an EV. Data were collected through questionnaires. Besides the use of descriptive statistics such as mean, standard deviation for data analysis, and inferential statistics such as the t-tests F-test and stepwise multiple regression in hypothesis testing.

              Results: The findings of this study suggest that among the marketing mix variables, consumers’ perception on the marketing strategies had the most influence on the purchase of EV ( =4.02, S.D.=0.50). In terms of targeting ages and income segment, the target segment focus should on younger consumers (18-24) as well as consumers income above 35,001 baht in monthly income as both segments had a positive significant relationship in purchase decision of EVs (p<0.05). While attitude factors and technology acceptance factors affect consumers' decision to purchase electric vehicles, they can predict 58.70 percent of the decision to purchase electric vehicles, with the prediction equation in the form scores as Y=0.270+0.348(X1)+0.580(X3).

              Discussion: The results show that different consumer age and income levels significantly impact EV purchasing decisions, with attitudes and technology acceptance.

              Suggestions: Future EV adoption strategies should focus on infrastructure development and improving the EV supply chain across production from upstream to downstream. This will encourage broader participation from all sectors in Nakhon Ratchasima Province and support the growing demand for EV in the future.

References

Amarin Television. (2023, 1 September). Estimated EV car sales in Thailand in 2023 will grow rapidly, increasing 17 times. SPOTLIGHT. https://www.amarintv.com/spotlight/corporate/detail/54216

Chaturongkakul, A., & Chaturongkakul, D. (2007). Consumer behavior. Thammasat.

Clover Power. (2023). Clean Energy. CLOVER. https://www.cloverpower.co.th/th/updates/blog/223

Cochran, W. G. (1977). Sampling techniques (3rd ed.). John Wiley & Sons.

Cronbach, L. J. (1970). Essentials of psychological testing (3rd ed.). Harper & Row.

Davis, F. D., Granić, A., & Marangunić, N. (2024). The technology acceptance model: 30 years of TAM. Springer International Publishing AG. https://doi.org/10.1007/978-3-030-45274-2

Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage.

Henry, A. (1995). Consumer Behavior and Marketing Action. (5th ed.). International Thomsonpublishing.

Kamket, W. (2012). Behavioral research methodology (3rd ed.). Chulalongkorn University Press.

Kotler, P. (2003). Matketing Management (11th ed.). Upper Saddle River Prentice-Hall.

Kotler, P., & Armstrong, G. (2001). Principles of Marketing (9th ed.). Prentice Hall.

Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson.

Kumnerdpetch, K. (2020). Factors Affecting Consumers Decision to Buy Battery Electric Vehicles in Bangkok and Metropolitan Area. Journal of Community Development Research (Humanities and Social Sciences), 13(3), 82-95.

Lamb, C. W., Hair, J. F., & McDaniel, C. (2012). Essentials of marketing (7th ed.). South Western Cengage Learning.

Likert, R. (1967). The Method of Constructing and Attitude Scale. Attitude Theory and Measurement. Wiley & Son.

Moore, D. S., Notz, W. I, & Flinger, M. A. (2013). The basic practice of statistics (6th ed.). W. H. Freeman and Company.

Musa, H. G., Fatmawati, I., Nuryakin, N., & Suyanto, M. (2024). Marketing research trends using technology acceptance model (TAM): A comprehensive review of researches (2002–2022). Cogent business & management, 11(1), 2329375. https://doi.org/10.1080/23311975.2024.2329375

National Science and Technology Development Agency (NSTDA). (2022, 19 December). The government is ready to push for Thailand to be a center for producing electric vehicles and important parts in the region. Press release. https://www.bcg.in.th/news/thailand-is-the-center-of-electric-vehicle-production-and-part/

Norman, L. M. (1971). Introduction to Psychology. Hougston Miffin.

Palley, W. (2012). GEN Z: Digital in their DNA. JWTIntelligence.

Pankla, S. & Keawpromman, C. (2020). Factors Affecting to Consumer Purchasing Plug-in Hybrid Electric Vehicle of Consumer in Bangkok Metropolitan. Journal of the Association of Researchers, 25(2), 99-112.

Papalia, D. E., Olds, S. W., & Feldman, R. D. (2010). Human Development (10th ed.). McGraw-Hill.

Ritcharoon, P. (2013). Principles of measurement and evaluation of education = Measurement evaluation (8th ed.). House of Kermist.

Rogers, D. (1978). The psychology of adolescence. Appleton Century-Crofs.

Schiffman, L. G., & Kanuk, L. L. (2000). Consumer Behavior. (7th ed.). Prentice-Hall.

SENA Development. (2022). Get to know Zero Energy House (ZEN), Sena's goal for every life before the world disappears. article. https://www.sena.co.th/articles/zeh-energy-house

Sereerat, S., Hirankiti, S., & Tangsinsapsiri, T. (2007). Management and organizational behavior. Teerafilm and Sitex.

Sereerat, S., Sereerat, S., Laksithanon, P., & Pathawanich, O. (2003). Modern Marketing Management. Thammasan.

Sumlim, S., Chaiyasoonthorn, W., & Chaveesuk, S. (2023). The Intentiion to purchase Electric Vehicles in Thailand. Business Administration Journal, 13(1), 92-104.

Suttirak, T. (2023). Marketing Factors Affecting Decision Making Process of Electric Vehicles. Journal of MCU NakhonDhat, 10(1), 98-112.

Thammasat University. (2022, 3 August). Look at the advantages and disadvantages How long can "electric cars" drive through floods? How should I take care of the battery. Home. https://tu.ac.th/thammasat-030865-tse-expert-talk-electric-vehicle

The Stock Exchange of Thailand. (2024). Where does Thailand's Net Zero goal go. SET Social Impact. https://www.setsocialimpact.com/Article/Detail/77643

Thurstone, L. L., & Chave, E. J. (1966). The Measurement of Attitude (Eighth Impression). The University of Chicago Press.

Tirakanan, S. (2012). Multivariate analysis in social science research (2nd ed.). Chulalongkorn University Printing House.

Transport Statistics Group, Planning Division of Department of Land Transport. (2024). Transport Statistics Report for the Year 2023. Other statistical analysis reports. https://web.dlt.go.th/statistics/

Figure1. Conceptual Framework of the Research

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Published

2024-12-20

How to Cite

Tangjaturasopon, A. (2024). Factors Influencing Purchasing Decisions on Electric Vehicles (EV) Consumers in Nakhon Ratchasima Province. Research Community and Social Development Journal, 18(4), 586–601. https://doi.org/10.14456/nrru-rdi.2024.34

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Research Articles