The Technology Acceptance, Financial Benefit, and Environment Influencing Consumers’ Decision Making to Electric Vehicles in Bangkok and Metropolitan Area
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Published:
Apr 19, 2022
Keywords:
Technology Acceptance ; Financial Benefit ; Environment ; Decision Making ; Electric Vehicles
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Abstract
The objectives of this research aimed to examine the electric vehicle technology acceptance model.; and to determine factors affecting the technology acceptance of electric vehicles. The conceptual frameworks were included Theory Reason Action, Theory of Planned Behavior, Theory Technology Acceptance Model, and Innovation Diffusion Theory. This quantitative study utilized questionnaires for data collection. The samplings were obtained from a stratified random sampling technique with selective 435 general car and electric vehicles users in Bangkok and the Metropolitan area, the sampling group in this research was considerably appropriated representative of the population. Determining the sampling size was sufficient in accordance with the parameter estimation statistical test constant and high reliability. The researcher also recruited the research populations, who answered self-reported questionnaire by dividing the age range of consumers into 2 groups is Gen Z & Gen Y and Gen X & Gen BB.,. Data were analyzed by descriptive statistical analysis including mean, standard deviation, Confirmatory Factor Analysis (CFA), Inferential statistic and data were analyzed by Structure Equations Model (SEM). The research suggested that the model was consistently demonstrated the results as following to the empirical data, were close to the established criteria and within acceptable limits.; and factors affecting decision making consumers of electric vehicles in Bangkok and the Metropolitan area with statistical significance consisted of interpersonal influence, personal innovativeness, financial benefit, subjective norm and compatibility respective. The consumer's Gen X & Gen BB. group focusing on environmental concerns more than other factors. The research contributions can be developed into the policy implementations for promoting the use of electric vehicles; and utilizing the acquired knowledge in the applied and development of marketing, including strategic planning to increase sales. In addition, the government should have measures to promote both the production and use of electric vehicles to create incentives for promoting investment in electric vehicles including increasing tax incentives covering all types of electric vehicles, as well as tax reduction or tax exemption for electric vehicles’ users.
Article Details
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บทความวิจัย (Research article)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
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Bhattacherjee, A. (2000). Acceptance of E-Commerce Services: The Case of Electronic Brokerages. In
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J. Clean. Prod. 92, 75–83.
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Malaysia. Journal of Cleaner Production. 95. 75-83.
Zhang, X., Wang, K., Hao, Y., Fan, J.-L., Wei, Y.-M., (2013). The impact of government policy on preference for NEVs: the evidence from China. Energy Policy. 61, 382-393.
Zimmer, M.R., Stafford, T.F., Stafford, M.R., (1994). Green issues: dimensions of environmental concern. J. Bus. Res. 30 (1), 63-74.
Translated Thai references
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สำนักงานประสานการจัดการการเปลี่ยนแปลงสภาพภูมิอากาศ สำนักงานนโยบายและแผนทรัพยากรธรรมชาติและสิ่งแวดล้อม, กระทรวงพลังงาน. หน้า 15-30.
นันทวุฒิ จำปางาม. (2561). การจัดการอนามัยสิ่งแวดล้อม: สุขภาวะที่ดีในสังคมผู้สูงอายุ. วารสารวิชาการมหาวิทยาลัยอิส
เทิร์นเอเชีย ฉบับวิทยาศาสตร์และเทคโนโลยี, ปีที่ 13 ฉบับที่ 2. หน้า 62-73.
พรศรี ลีลาพัฒนวงศ์ และทิพวรรณ ปิ่นวนิชย์กุล. (2562). ปัจจัยที่มีอิทธิพลต่อการยอมรับนวัตกรรมและเทคโนโลยี :
กรณีศึกษายานยนต์ไฟฟ้า ประเภทยานยนต์นั่งส่วนบุคคลไม่เกิน 7 คน (รย.1), วารสารวิจัยและพัฒนา มจธ. ปีที่ 42 ฉบับที่ 2, หน้า 129-144.
สุอัมพร ปานทรัพย์ และ ดัชกรณ์ ตันเจริญ. (2563). การประเมินการใช้งานแอปพลิเคชัน 7-Eleven TH บนพื้นฐานของทฤษฎีการยอมรับและการใช้เทคโนโลยี. Journal of Information Science and Technology, Volume 10, NO 1 (JAN – JUN 2020 ). pp. 85-97.
อินทิรา ไชยณรงค์. (2561). ทฤษฎีพฤติกรรมตามแผนกับความตั้งใจออกกำลังกายด้วยการเดินในผู้ป่วยภายหลังเกิดโรคหลอดเลือดสมอง. วารสารพยาบาลทหารบก, ปีที่ 19 ฉบับที่ 1 มกราคม - เมษายน 2561, หน้า 47-55.
Agarwal, R.; Prasad, J. (1997). The Role of Innovation Characteristics and Perceived Voluntaries in the Acceptance of Information Technologies. Decis. Sci. 28, pp. 557–582.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action Control .pp. 11–39.
Ajzen, I. (2006). Perceived Behavioral Control, Self-E_cacy, Locus of Control, and the Theory of Planned
Behavior. J. Appl. Soc. Psychol, 32, 4.
Anegawa, T., (2010). Development of quick charging system for electric vehicle development of quick charging system. In: Proceeding of World Energy Congress. 11th-16th Sept 2010. Montreal, Canada.
Bhattacherjee, A. (2000). Acceptance of E-Commerce Services: The Case of Electronic Brokerages. In
Psychiatria Polska. Vol. 39, Issue 2, pp. 411–420.
Balderjahn, I., (1988). Personality variables and environmental attitudes as predictors of ecologically
responsible consumption patterns. J. Bus. Res. 17 (1), 51-56.
Browne, D., O'Mahony, M., Caulfield, B., (2012). How should barriers to alternative fuels and vehicles be
classified and potential policies to promote innovative technologies be evaluated? J. Clean. Prod. 35, 140-151.
Chen, L.; Gillenson, M.L.; Sherrell, D.L. (2002). Enticing online consumers: An extended technology acceptance perspective. Inf. Manag. 39, pp. 705–709.
Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information
Technology, MIS Quarterly. vol. 13 no. 3, pp. 319-339.
Dagsvik, J.K., Wennemo, T., Wetterwald, D.G., Aaberge, R., 2002. Potential demand for alternative fuel vehicles. Transp. Res. Part B. 36, 361-384.
Ellen, P.S., Wiener, J.L., Cobb-Walgren, C., (1991). The role of perceived consumer effectiveness in motivating environmentally conscious behaviors. J. Public Policy Mark. 10 (2), 102-117.
Fishbein, M.; Ajzen, I. (1975). Beliefs, Attitude, Intention and Behavior: An Introduction to Theory and Research; Addison-Wesley: Reading, MA, USA.
Heffner, R.R., Kurani, K.S., Turrentine, T.S., 2007. Symbolism in California's early market for hybrid electric vehicles. Transp. Res. Part D. 12 (6), 396-413.
International Energy Agency. (2010). Energy Technology Perspective 2010: Scenarios & Strategies to 2050.
IEA Publications, Paris, France, 2010.
International Energy Agency. (2017). Global EV outlook 2017. BP: Energy Outlook-2017.
International Energy Agency. 2020. Global EV outlook 2020. BP: Energy Outlook-2020.
Ivan, K. W. L., Yide L., Xinbo S., Hao Z. and Weiwei X. (2015). Factors Influencing the Behavioural Intention
towards Full Electric Vehicles: An Empirical Study in Macau. Sustainability. 2015(7), 12564-12585.
Jui-Che, T. and Chun, Y. (2019). Key factors Influencing Consumers’ Purchase of Electric Vehicles.
Journal Sustainability 2019. 11(3863). 1-22.
Montian, K., & Suthikarnnarunai, N. (2018). Factors influencing purchase intention towards electric vehicles
in bangkok metropolis. International Journal of Recent Technology and Engineering. 7(4),123–128.
Martin, B., Simintiras, A.C., (1995). The impact of green product lines on the environment: does what they know affect how they feel? Mark. Intell. Plan. 13 (4),16-23.
Martin, E., Shaheen, S.A., Lipman, T.E., Lidicker, J.R., 2009. Behavioral response to hydrogen fuel cell vehicles and refueling: results of California drive clinics. Int. J. Hydrog. Energy. 34 (20), 8670-8680.
Melaina, M., Bremson, J., 2008. Refueling availability for alternative fuel vehicle markets: sufficient urban station coverage. Energy Policy. 36 (8), 3233-3241
Mourato, S., Saynor, B., Hart, D., (2004). Greening London's black cabs: a study of driver's preferences for fuel cell taxis. Energy Policy. 32 (5), 685-695.
Ozaki, R., Sevastyanova, K., 2011. Going hybrid: an analysis of consumer purchase motivations. Energy Policy. 39 (5), 2217-2227.
Pakdeesuk, k. (2018). Attitude, marketing mix Element and Technology Acceptance Affecting Consumer’s Decision io Bay Electric Vehicle in Bangkok and Metropolitan Area. (Master’s thesis). Bangkok University, Bangkok. Retrieved form http://dspace.bu.ac.th/bitstream/123456789/3801/1/karn_pakde.pdf.
Rogers, E.M. (1983). Diffusion of Innovations; Free Press: New York, NY, USA.
Rogers, E.M. (1995). Diffusion of Innovations, 4th ed.; The Free Press: New York, NY, USA.
Roberts, J.A., (1996). Green consumers in the 1990s: profile and implications for advertising. J. Bus. Res. 36, 217-231.
Roberts, J.A., Bacon, D.R., (1997). Exploring the subtle relationships between environmental concern and ecologically conscious consumer behavior. J. Bus. Res. 40, 79-89.
Said, A.M., Ahmadun, F.-R., Paim, L.H., Masud, J., (2003). Environmental concerns, knowledge and practices gap among Malaysian teachers. Int. J. Sustain. High. Ed. 4 (4), 305-313.
Sang, Y.N.; Bekhet, H.A., (2015). Modelling electric vehicle usage intentions: An empirical study in Malaysia.
J. Clean. Prod. 92, 75–83.
Sperling, D., Kitamura, R., (1986). Refueling and new fuels: an exploratory analysis. Transp. Res. Part A. 20A (1), 15-23.
Silvester, S., Beella, S.K., van Timmeren, A., Bauer, P., Quist, J., van Dijk, S., (2013). Exploring design scenarios for large-scale implementation of electric vehicles; the Amsterdam Airport Schiphol case. J. Clean. Prod. 48, 211-219.
Taylor, S.; Todd, P.A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Inf. Syst. Res. 6, pp. 144–176.
Thailand’s UNDC. (2020). Thailand’s Updated Nationally Determined Contribution. Office of Natural
Resources and Environmental Policy and Planning. No. 1007.2/13850, 20 October B.E. 2563 (2020). 1-8.
Williams, L.R.; Magee, G.D.; Suzuki, Y. (1998). A Multidimensional view of EDI: Testing the value of EDI participation to firms. J. Bus. Logist. 19, pp. 73–87.
Wallston, K.A., (2015). Control Beliefs: Health Perspectives. In International Encyclopedia of the Social & Behavioral Sciences, 2nd ed.; Elsevier: Amsterdam, The Netherlands ; pp. 819–821.
Yongpisanphob, W., (2018). Auto Parts Industry. Thailand Industry Outlook 2018-20.
Yew-N.S., Hussain A.B.. (2015). Modelling electric vehicle usage intention: an empirical study in
Malaysia. Journal of Cleaner Production. 95. 75-83.
Zhang, X., Wang, K., Hao, Y., Fan, J.-L., Wei, Y.-M., (2013). The impact of government policy on preference for NEVs: the evidence from China. Energy Policy. 61, 382-393.
Zimmer, M.R., Stafford, T.F., Stafford, M.R., (1994). Green issues: dimensions of environmental concern. J. Bus. Res. 30 (1), 63-74.
Translated Thai references
Kumnerdpetch, K. (2020). patčhai thī mī ʻitthiphon tō̜ kāntatsinčhai sư̄ rotyon phalangngān faifā bǣp bǣttœ̄rī khō̜ng phūbō̜riphōk nai khēt Krung Thēp Mahā Nakhō̜n læ parimonthon [Factors Affecting Consumers Decision to Bay Battery Electric Vehicles in Bangkok and Metropolitan Area]. Journal of Community Development Research (Humanities and Social Science) 2020; 13(3). 82-95. [in thai]
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