Technology Acceptance Factors Affecting Intention to Use Electric Motorcycles in the Bangkok Metropolitan Region
Article Sidebar
Main Article Content
Abstract
This research article aims to study technology acceptance factors affecting intention to use electric motorcycles in Bangkok Metropolitan Region. This study employs quantitative research methodology. The sample consists of 466 respondents, comprising general motorcycle users and consumers interested in using electric motorcycles, selected through xxx sampling method. The data collection instrument was a questionnaire. The statistical analysis includes descriptive statistics, consisting of mean and standard deviation, and inferential statistics, comprising confirmatory factor analysis and structural equation modeling analysis. The research findings indicate that the research model corresponds with empirical data, with values close to the specified criteria and within acceptable thresholds. The technology acceptance factors affecting intention to use electric motorcycles in The Bangkok Metropolitan Region comprise performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation, respectively.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Views and opinions appearing in articles in the Journal of Arts of Management It is the responsibility of the author of the article. and does not constitute the view and responsibility of the editorial team I agree that the article is copyright of the Arts and Management Journal.
References
Afraah, S. M., Yuniaristanto, Y., Sutopo, W., & Hisjam, M. (2021). Comparing total cost of ownership of electric and conventional motorcycles in Indonesia. Jurnal Teknik Industri, 22(2), 196-210.
Alshehri, M., Drew, S., & AlGhamdi, R. (2012). Analysis of citizens' acceptance for e-government services: Applying the UTAUT model. Journal of E-Government Studies and Best Practices, (1), 1-13.
Chen, L., & Liu, Y. (2020). Understanding performance and effort expectancy in technology adoption: A structural analysis. International Journal of Technology Management, 15(2), 178-195.
Chopdar, P. K., Lytras, M. D., & Visvizi, A. (2023). Exploring factors influencing bicycle-sharing adoption in India: a UTAUT 2 based mixed-method approach. International Journal of Emerging Markets, 18(11), 5109-5134.
Davis, M., & Johnson, R. (2023). The role of social influence and facilitating conditions in technology acceptance. Technology Adoption Quarterly, 42(3), 267-284.
Davis, R., & Johnson, K. (2023). The role of hedonic motivation in technology acceptance. Technology Research Quarterly, 42(1), 78-92.
Department of Land Transport. (2022). Annual transport statistics report 2022. Ministry of Transport.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, 28(3), 307-319.
Eccarius, T., & Lu, C. C. (2020). Powered two-wheelers for sustainable mobility: A review of consumer adoption of electric motorcycles. International Journal of Sustainable Transportation, 14(3), 215-231.
Harris, J., & Lee, M. (2024). Theoretical and practical implications of structural relationships in technology adoption. Journal of Technology Innovation, 19(1), 45-62.
Harris, M., & Lee, S. (2024). Strategic implications of technology acceptance models. Journal of Strategic Management, 19(1), 12-28.
Jianlin, W., & Qi, L. (2010). The influence of individual creativity on technology acceptance. International Conference on Information Management and Engineering, 4(2), 456-469.
Kumar, R. D., Sharma, M., Patel, S., & Wilson, J. (2023). A structural equation modeling approach to understanding electric motorcycle technology acceptance. International Journal of Technology Management, 45(3), 287-302.
Kumar, V., Smith, A., & Brown, J. (2023). Performance expectations in electric vehicle adoption. Transportation Research Part A, 158, 112-126.
Manca, F., Sivakumar, A., & Polak, J. W. (2019). The effect of social influence and social interactions on the adoption of a new technology: The use of bike sharing in a student population. Transportation Research Part C: Emerging Technologies, 105, 611-625.
Martinez, C., Garcia, R., & Lopez, S. (2024). Understanding facilitating conditions in electric vehicle adoption. Sustainable Transport Review, 28(1), 45-59.
Miao, R., Wu, Q., & Wang, Z. (2016). Understanding social influence in technology acceptance decisions: A meta-analysis. Technology Analysis & Strategic Management, 28(6), 601-618.
Murtiningrum, A. D., Darmawan, A., & Wong, H. (2022). The adoption of electric motorcycles: A survey of public perception in Indonesia. Journal of cleaner production, 379, 134737.
Nguyen-Phuoc, D. Q., Truong, T. M., Nguyen, M. H., Pham, H. G., Li, Z. C., & Oviedo-Trespalacios, O. (2024). What factors influence the intention to use electric motorcycles in motorcycle-dominated countries? An empirical study in Vietnam. Transport Policy, 146, 193-204.
Poi, A. W. H., Law, T. H., Hamid, H., & Mohd Jakarni, F. (2021). Motorcycle to car ownership: The role of road mobility, accessibility and income inequality. Transportation Research. Part D, Transport and Environment, 90, 102650. https://doi.org/10.1016/j.trd.2020.102650
Sutopo, W., Hisjam, M., & Wicaksono, H. (2024). Exploring the determinants of intention to purchase electric motorcycles: the role of national culture in the UTAUT. Transportation Research Part F: Traffic Psychology and Behaviour, 100, 475-492. https://doi.org/10.1016/j.trf.2023.12.012
Utami, M. W. D., Yuniaristanto, Y., & Sutopo, W. (2020). Adoption intention model of electric vehicle in Indonesia. Jurnal Optimasi Sistem Industri, 19(1), 70-81.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.
Wang, H., & Zhang, L. (2022). Social factors in electric motorcycle adoption. Asian Journal of Technology Innovation, 14(2), 156-170.
Wilson, B., & Brown, N. (2024). Mediating effects in technology acceptance models. Technology Adoption Studies, 17(1), 23-37.
Wilson, M., & Brown, A. (2024). The mediating role of hedonic motivation in technology acceptance. Journal of Technology Management, 29(1), 78-95.
Yang, C. C., Lin, C. T., Mao, T. Y., Anggara, A. A., & Wu, C. P. (2023). Leisure motivation and happiness, mediation of leisure attitude and perceived value: An evidence from large and heavy motorbike riders in Taiwan. Annals of Applied Sport Science, 11(2).