Influence of Technology Acceptance and Marketing Mix in Consumer Perspective on Purchase Decision of Chinese Electric Vehicles by Thai Consumers in Bangkok Metropolitan Area
Main Article Content
Abstract
The objective of this research was to study demographic factors, technology acceptance factors, and Marketing Mix in consumer perspective factors affecting purchase decision of Chinese electric vehicles by Thai consumers in Bangkok Metropolitan area. It was quantitative research based on 406 samples, and statistical procedures were carried out to prove scale and data appropriateness. Data received through the online survey during October and November 2022 was analyzed by descriptive statistics, independent t-Test, One-way ANOVA, factor analysis and multiple regression at the significance level of 0.05.
The results of the study revealed that different age ranges affected purchase decision differently; three technology acceptance factors including perceived usefulness and ease to use technology, social influence on technology, and technology anxiety affected purchase decision; in terms of marketing mix in consumer perspective, value for consumers affected purchase decision, and these four significant factors could explain 66.4% of the variance in purchase decision of Chinese electric vehicles. The manufacturers of electric vehicles can use the research results to improve product design and development strategies as well as marketing strategies to increase consumer confidence in purchasing and using electric vehicles.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Aksorn, P. (2017). The 4c’s strategies, lifestyle and technology acceptance of innovations related to working clothes purchasing behaviour online among consumers in Bangkok [Unpublised master's Thesis]. Srinakharinwirot University.
AmarinTV. (2023). Five Chinese electric vehicle companies invested in automotive plants valued 67,900 mil. baht. https://www.amarintv.com/spotlight/corporate/detail/56302
Bangkok Business. (2022). TTB Analytics estimates that in 2022, the xEV group of electric vehicles will increase by 48%. https://www.bangkokbiznews.com/business/1006527
Cochran, W.G. (1953). Sampling techniques. John Wiley & Sons.
Davis, F. D. (1989). Perceived usefulness perceived ease of use and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-339.
Department of Land Transport. (2023). Transport statistics report, fiscal year 2019-2023. Department of Land Transport. https://web.dlt.go.th/statistics/plugins/UploadiFive/uploads/6f6897ce35cd1d6a488eab4c29a548a0b5d0973421176078322eff0d7d61b5a5.pdf
Department of Provincial Administration. (2022). Announcement of the Central Registration Office on the number of people throughout the Kingdom of Thailand according to the population registration evidence as of December 31, 2021. https://stat.bora.dopa.go.th/stat/pk/pk_64.pdf
Dinudom, W. (2019). The acceptance of technology and the intention to use electric vehicles in the Bangkok Metropolitan Region in Thailand [Unpublised master's Thesis]. Thammasat University.
Energy Regulatory Commission. (2024). Update on the global and Thai electric vehicle market situation in 2024. Energy Regulatory Commission, https://www.erc.or.th/th/energy-articles/3094
Jongpinij, M. (2019). Factors influencing satisfaction with the use of identity verification in digital identity (digital ID) [Unpublised master's Thesis]. Thammasat University.
Kotler, P. (2011). Marketing management: analysis, planning, implementation, and control. (13th ed). Prentice-Hall International, Inc.
KS Research Strategy. (2022). Why China becomes number 1 in the world EV industry. https://www.kasikornsecurities.com/th/research/stock-selected/V3ojlW
Lauterborn, B. (1990). New marketing litany; four Ps passe; C-words take over. advertising Age, 61(41), p. 26.
Pakdeesuk, K. (2017) Attitude, marketing mix elements and technology acceptance affecting consumer’s decision to buy electric vehicle in Bangkok and metropolitan area [Unpublised master's Thesis]. Bangkok University.
Panson, T. (2019). Behavioral acceptance of electric vehicles in Bangkok [Unpublised master's Thesis]. Chulalongkorn University.
Punpisootchai, W., & Worapishet, T. (2023). Factors influencing acceptance of electric vehicle technology in Thailand. Journal of Marketing and Management, 10(2), 133-155.
Rattanaporn, N. (2019). A study on the attitudes towards electric car purchasing decision of generation X and Y in the Bangkok metropolitan area [Unpublised master's Thesis]. Thammasat University.
Satavetin, P. (2003). Principle of communication science. (3th ed). Phab Pim publication.
ThaiPublica. (2022). China's EV automobile industry from a follower to a world market leader. https://thaipublica.org/2023/04/pridi344-ev/
Tunçel, N. (2022). Intention to purchase electric vehicles: Evidence from an emerging market. Research in Transportation Business & Management, 43, 1-10.
Vanichbuncha, K. (2003). Statistical analysis: statistics for research and management (7th Ed.). Chulalongkorn University Press.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39, 273-315.
Venkatesh, V. & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F.D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3): 425-478.