ISSN: 2222-6990
Open access
The Malaysian government has been urging and promoting Malaysians to adopt electric vehicles to help reduce high energy consumption and pollution. Acceptance of increased electric vehicle usage will without doubt help in easing issues relating to carbon emission and extensive reliance on fuel and of course improve economic sustainability. Although the number of different types of electronic vehicles (EVs) is increasing, they still constitute only a small share of the total vehicle market. There are a number of barriers to car owners’ adoption of an EV: travel needs, charging infrastructure, the individual car owner’s socioeconomic characteristics, attitudinal factors, and environmental concerns. The theory of planned behavior (TPB) model was utilized in this study to construct a model of purchase intention impact mechanism for electric vehicles (EVs). It considered consumer attitude (AT), perceived value (PV), and lack of innovation. The questionnaire was administered to potential customers. A total of 277 valid survey responses were collected. The factors affecting EV buying intent were examined by Structural equation modeling (SEM) using PLS. According to the results, no factors tested negative, most of the factors were significant beneficial outcomes on consumers' intent to buy electric vehicles (EVs). These findings were discussed with policy recommendations and conclusion
Adnan, N., Vasant, P. M., Rahman, I., & Noor, A. (2016). Adoption of plug-in hybrid electric vehicles among Malaysian consumers. Ind Eng Manage, 5(185), 2169-0316, 125116.
Adu-Gyamfi, G., Song, H., Obuobi, B., Nketiah, E., Wang, H., & Cudjoe, D. (2022). Who will adopt? Investigating the adoption intention for battery swap technology for electric vehicles. Renewable and Sustainable Energy Reviews, 156, 111979.?
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Asadi, S., Nilashi, M., Samad, S., Abdullah, R., Mahmoud, M., Alkinani, M. H., & Yadegaridehkordi, E. (2021). Factors impacting consumers’ intention toward adoption of electric vehicles in Malaysia. Journal of Cleaner Production, 282, 124474.
De Rubens, G. Z., Noel, L., Kester, J., & Sovacool, B. K. (2020). The market case for electric mobility: Investigating electric vehicle business models for mass adoption. Energy, 194, 116841.
Deng, Z., Mo, X., & Liu, S. (2014). Comparison of the middle-aged and older users’ adoption of mobile health services in China. International journal of medical informatics, 83(3), 210-224.
Echegaray, F., & Hansstein, F. V. (2017). Assessing the intention-behavior gap in electronic waste recycling: the case of Brazil. Journal of Cleaner Production, 142, 180-190.
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research.
Furnham, A., & Gunter, B. (2015). Corporate Assessment (Routledge Revivals): Auditing a Company's Personality. Routledge.
Gefen, D., Rigdon, E. E., & Straub, D. (2011). Editor's comments: an update and extension to SEM guidelines for administrative and social science research. MIS quarterly, iii-xiv.
Gibbs, D. (2000). Ecological modernisation, regional economic development and regional development agencies. Geoforum, 31(1), 9-19.
Gulzari, A., Wang, Y., & Prybutok, V. (2022). A green experience with eco-friendly cars: A young consumer electric vehicle rental behavioral model. Journal of Retailing and Consumer Services, 65, 102877.
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.
Ho, S. S., Goh, T. J., & Chuah, A. S. (2022). Perceived behavioral control as a moderator: Scientists’ attitude, norms, and willingness to engage the public. Plos one, 17(10), e0275643.
https://tradingeconomics.com/malaysia/co2emissions#:~:text=CO2%20Emissions%20in%20Malaysia%20averaged,data%20for%20Malaysia%20CO2%20Emissions.
Hwang, H., Lee, Y., Seo, I., & Chung, Y. (2021). Successful pathway for locally driven fuel cell electric vehicle adoption: Early evidence from South Korea. International Journal of Hydrogen Energy, 46(42), 21764-21776.
Junquera, B., Moreno, B., & Alvarez, R. (2016). Analyzing consumer attitudes towards electric vehicle purchasing intentions in Spain: Technological limitations and vehicle confidence. Technological Forecasting and Social Change, 109, 6-14.
Khazaei, H. (2019). The influence of personal innovativeness and price value on intention to use of electric vehicles in Malaysia. European Online Journal of Natural and Social Sciences, 8(3), pp-483.
Kim, H. M., Lee, I. H., Joo, K., Lee, J., & Hwang, J. (2022). Psychological Benefits of Purchasing Home Meal Replacement in the Context of Eco-Friendly TV Home Shopping Broadcast: The Moderating Role of Personal Norm. International Journal of Environmental Research and Public Health, 19(13), 7759.
Lai, W. T., & Chen, C. F. (2011). Behavioral intentions of public transit passengers—The roles of service quality, perceived value, satisfaction and involvement. Transport policy, 18(2), 318-325.
Lane, B. W., Dumortier, J., Carley, S., Siddiki, S., Clark-Sutton, K., & Graham, J. D. (2018). All plug-in electric vehicles are not the same: Predictors of preference for a plug-in hybrid versus a battery-electric vehicle. Transportation Research Part D: Transport and Environment, 65, 1-13.
Liu, P., Segovia, M., Tse, E. C. Y., & Nayga, R. M. (2022). Become an environmentally responsible customer by choosing low-carbon footprint products at restaurants: Integrating the elaboration likelihood model (ELM) and the theory of planned behavior (TPB). Journal of Hospitality and Tourism Management, 52, 346-355.
Liu, R., Ding, Z., Wang, Y., Jiang, X., Jiang, X., Sun, W., ... & Liu, M. (2021). The relationship between symbolic meanings and adoption intention of electric vehicles in China: The moderating effects of consumer self-identity and face consciousness. Journal of Cleaner Production, 288
Morgan, J. (2020). Electric vehicles: the future we made and the problem of unmaking it. Cambridge Journal of Economics, 44(4), 953-977.
Muzir, N. A. Q., Mojumder, M. R. H., Hasanuzzaman, M., & Selvaraj, J. (2022). Challenges of Electric Vehicles and Their Prospects in Malaysia: A Comprehensive Review. Sustainability, 14(14), 8320.
Paiva, S., Ahad, M. A., Tripathi, G., Feroz, N., & Casalino, G. (2021). Enabling technologies for urban smart mobility: Recent trends, opportunities and challenges. Sensors, 21(6), 2143.
Rajendran, G., Vaithilingam, C. A., Misron, N., Naidu, K., & Ahmed, M. R. (2021). A comprehensive review on system architecture and international standards for electric vehicle charging stations. Journal of Energy Storage, 42, 103099.
Rogers, E. M. (1995). Diffusion of Innovations: modifications of a model for telecommunications. In Die diffusion von innovationen in der telekommunikation (pp. 25-38). Springer, Berlin, Heidelberg.
Secinaro, S., Calandra, D., Lanzalonga, F., & Ferraris, A. (2022). Electric vehicles’ consumer behaviours: Mapping the field and providing a research agenda. Journal of Business Research, 150, 399-416.
Smith, A. (2019). PlugandPlay. Retrieved from PlugandPlay Web Site: https://www.plugandplaytechcenter.com/resources/electric-car-innovation-how-electric-vehicles-are-changing-world/
Sun, X., Li, Z., Wang, X., & Li, C. (2019). Technology development of electric vehicles: A review. Energies, 13(1), 90.
Tommasetti, A., Singer, P., Troisi, O., & Maione, G. (2018). Extended theory of planned behavior (ETPB): investigating customers’ perception of restaurants’ sustainability by testing a structural equation model. Sustainability, 10(7), 2580.
Wang, Z., Ye, K., Jiang, M., Yao, J., Xiong, N. N., & Yen, G. G. (2022). Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization. Swarm and Evolutionary Computation, 68, 100975.
Xia, Y., & Yan, B. (2022). Energy-food nexus scarcity risk and the synergic impact of climate policy: A global production network perspective. Environmental Science & Policy, 135, 26-35.
Yang, H., Yu, J., Zo, H., & Choi, M. (2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256-269.
Y?ld?z, B., Olcaytu, E., & Sen, A. (2019). The urban recharging infrastructure design problem with stochastic demands and capacitated charging stations. Transportation Research Part B: Methodological, 119, 22-44.
Zhang, X., Bai, X., & Shang, J. (2018). Is subsidized electric vehicles adoption sustainable: Consumers’ perceptions and motivation toward incentive policies, environmental benefits, and risks. Journal of Cleaner Production, 192, 71-79.
In-Text Citation: (Hussain et al., 2023)
To Cite this Article: Hussain, A. M., Ngah, N. S., & Aini, N. S. (2023). What Motivates Me to Adopt Electric Vehicle. International Journal of Academic Research in Business and Social Sciences, 13(9), 1121–1133.
Copyright: © 2023 The Author(s)
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