Technology Acceptance and Marketing Mix Affecting Attitude and Intention of Working-Age People to use Electric Vehicles in Bangkok and Metropolitan Region

Authors

  • Yootanat Boonyachai Rajapruk University

Keywords:

Technology Acceptance, Marketing Mix, Attitude, Attention, Working-Age People

Abstract

This study aims 1) to study the level of opinion on technology acceptance of working age-people
in using electric vehicles in Bangkok and Metropolitan Region, 2) to study the marketing mix opinions of
working age-people on the use of electric vehicles in Bangkok and Metropolitan Region, and 3) to test the
structural equation model of technology acceptance and marketing mix affecting attitude and intention of
working-age people to use electric vehicles in Bangkok and Metropolitan Region. The research population
was working-aged people with personal cars in Bangkok and Metropolitan Region, aged between 18-60
years old. Data were collected from a sample of 400 people. The instrument used for data collection was
a questionnaire. Data analysis used were frequency, percentage, standard deviation and structural equation
modeling techniques. The research results found that 1) the overall level of opinion regarding the acceptance
of technology among working-age people was at a high level (x̄̄=3.91, SD=0.77, 2) the overall level of
opinion regarding the marketing mix among working-aged people was at a high level (x̄̄= 4.03, SD=0.80),
and 3) acceptance of technology in terms of perceived ease of use, perceived usefulness and marketing mix
had a positive direct effect on attitude towards usage and an indirect effect on intention to use people's
electric car. The model was consistent with the empirical data (Chi-square/df=1.159, GFI=0.950, CFI=0.995,
RMSEA=0.20). The results of the research can be used as guidelines for developing strategies for the electric
vehicle business to be consistent with consumers' needs for using electric vehicles efficiently and effectively.

References

Agarwal, R., & Prasad, J. (1999). Are Individual Differences Germane to the Acceptance of New Information Technologies? A Journal of the Decision Science Institute, 30(2), 361-391.

Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-212.

Byrne, B. M. (2013). Structural equation modeling with EQS: Basic concepts, applications, and programming. Routledge.

Cochran, W. G. (1953). Sampling Techniques. John Wiley & Sons, Inc.

Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.

Dinudom, W. (2019). The Acceptance of Technology and the Intention to use Electric Vehicles in the Bangkok Metropolitan Region in Thailand [Master’s thesis, Thammasat University]. https://digital.library.tu.ac.th/tu_dc/frontend/Info/item/dc:175976 [in Thai]

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. (7thed.). Pearson.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to Use and How to Report the Results of PLS-SEM. European Business Review, 31(1), 2-24.

Huang, X., & Ge, J. (2019). Electric Vehicle Development in Beijing: An Analysis of Consumer Purchase Intention. Journal of Cleaner Production, 216, 361-372.

Inthurit, D. (2022). Factors effecting toward purchase the battery electric vehicle [Master ‘s Dissertation, Rajamangala University of Technology Tawan-ok.]. https://arit.rmutto.ac.th/e-book/admin/book_file/100bookfile.pdf [in Thai]

Jindarasamee, S. (2022, October 5). A Beam Consulting Reveals the Trend of the Electric Car Market in Thailand is growing. https://www.grandprix.co.th/abeam-ev/ [in Thai]

Kline, R. B. (2016). Principle and Practice of Structure Equation Modeling. (4th ed.). The Guilford Press.

Kuntawong, P., Suwannoi, T., Sukhaparamate, S., Jantarakolica, K., & Jantarakolica, T. (2022). Policy Factors Affecting the Decision Making to Use Vehicles in Thailand. Thammasat Business Journal, 45(74), 79-110. [in Thai]

Kotler, P., & Kelle, K. L. (2021). Marketing Management Global Edition. Pearson.

Krishnan, V. V., & Koshy, B. I. (2021). Evaluating the factors influencing purchase intension of electric vehicles in households owning conventional vehicles. Case Studies on Transport Policy, 9(3), 1122-1129.

Laeieddeenun, K. (2018). Technology Acceptance and Online Consumer Behavior Affecting E-Books’ Purchase Decisions of Customers in Bangkok [Master’s thesis, Bangkok University]. http://dspace.bu.ac.th/jspui/handle/123456789/1883 [in Thai]

Nimitvanich, M., & Tongsuar, V. (2023, October 5). A New Alternative Market for Thai Cars. https://krungthai.com EconomyResourcesDownload_18723_11_65.pdf [in Thai]

de Oliveira, M. B., da Silva, H. M. R., Jugend, D., Fiorini, P. D. C., & Paro, C. E. (2022). Factors influencing the intention to use electric cars in Brazil. Transportation Research Part A: Policy and Practice, 155, 418-433.

Pankla, S., & Keawpromman, C. (2020). Factor Affecting to Consumers’ Purchasing Plug-in Hybrid Electric Vehicle of Consumer in Bangkok Metropolitan. Journal of the Association of Researchers, 25(2), 117-132. [in Thai]

Rajesh, D., & Rajasulochana, D. M. (2022). A study on factors influencing the purchase of electric vehicles in Indian auto mobile market. Journal of Contemporary Issues in Business and Government, 28(4), 968-979.

Sektawelarp, P. (2017). Factors Affecting Behavioral Intention to Use Cloud Storage at the Software-as-a-Service (SaaS) Level of Employees of Private Organizations in Economic areas. of Bangkok [Master’s thesis, Bangkok University] http://dspace.bu.ac.th/jspui/handle/123456789/1261 [in Thai]

Schumacker, R. E., & Lomax, R. G. (2016). A Beginner’s Guide to Structural Equation Modeling (4th ed.). Routledge.

Songtanawong, S. (2021). Factors Influencing the Intension to Purchase Electric Vehicles in Chonburi [Master’s thesis, Burapha University]. http://ir.buu.ac.th/dspace/handle/1513/473 [in Thai]

Thanacharoenphisan, E. (2011). Awareness and Acceptance of the Use of Environmental Management Systems. (ISO 14001) for Use in Government Organizations: A Case Study of the Office of Natural Resources Policy and Planning and Environment [Master's thesis, National Institute of Development Administration]. http://repository.nida.ac.th/handle/662723737/2048 [in Thai]

Tokham, P, Tanichkul, V., & Anywatnapong, M. (2022). The Influence of Factors on Purchasing Decision Process for Battery Electric Vehicles of Consumers in Metropolis. Journal of Business Administration and Social Sciences Ramkhamhaeng University, 5(1), 53-72. [in Thai]

Tu, J. C., & Yang, C. (2019). Key factors influencing consumers’ purchase of electric vehicles. Sustainability, 11(14), 3863.

Yantarapakorn, R. (2019). Factors Influencing Consumer Intentions to Adopt Connected Smart Cars [Master’s thesis, Thammasat University]. https://ethesisarchive.library.tu.ac.th/thesis/2019/TU_2019_6123030170_11156_12108.pdf [in Thai]

Yuwadeeniwat, N., Pathomsirikul, Y., & Sriwanat. A. (2019). A Model of the Marketing Strategies Influencing the Decision to Purchase Eco Cars in Thailand. Journal of Economics and Management Strategy, 6(1), 77-90. [in Thai]

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Published

2024-12-07

How to Cite

Boonyachai, Y. (2024). Technology Acceptance and Marketing Mix Affecting Attitude and Intention of Working-Age People to use Electric Vehicles in Bangkok and Metropolitan Region. Journal of Business Administration The Association of Private Higher Education Institutions of Thailand, 12(2), 140–156. Retrieved from https://so02.tci-thaijo.org/index.php/apheitvu/article/view/270766

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Section

Research Articles