EXPLORING THE REASONS “FOR” AND “AGAINST” AMONG GENERATION Z IN PURCHASE INTENTION TOWARD ELECTRIC MOTORCYCLES
DOI:
https://doi.org/10.18623/rvd.v23.6608Keywords:
Green Technology, Electric Motorcycle, Generation Z, IndonesiaAbstract
This study examines the drivers and barriers that influence Generation Z's decision to purchase an electric motorcycle. The study used an exploratory qualitative approach through focus group discussions (FGDs) conducted in Yogyakarta Province, Indonesia. The findings identified reasons for and against a particular decision based on the behavioral reasoning theory (BRT) framework. The drivers are perceived ease of use, perceived usefulness, and attitudes, which align with the main dimensions of the technology acceptance model (TAM) as determinants of positive purchase intention. Conversely, the reasons against adopting the product stem from four barriers, such as risk, use, tradition, and image, that directly reduce purchase intention, which is consistent with the innovation resistance theory (IRT). The results also indicate that environmental beliefs and values play a significant role in shaping attitudes, which ultimately determine purchase behavior. The study's primary contribution is the development of a comprehensive BRT-based model that initially lacked standard variables to measure "reasons for/against." This model integrates TAM as a source of reasons for acceptance and IRT as a basis for reasons for resistance in the context of electric motorcycle adoption. Practically, these findings provide valuable input for policymakers and industry players in designing strategies to reduce consumer resistance and encourage the younger generation to adopt sustainable transportation.
References
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Adu-Gyamfi, G., Song, H., Nketiah, E., Obuobi, B., & Djanie, A. K. (2024). Remedying driving range and refueling challenges in electric mobility: Consumer adoption of battery-swappable electric vehicles. Technology in Society, 78. https://doi.org/10.1016/J.TECHSOC.2024.102661
Ahmad, N., & Rasheed, H. M. W. (2025). Tourism and hospitality SMEs and digital marketing: what factors influence their attitude and intention to use from the perspective of BRT, TAM and IRT. Journal of Hospitality and Tourism Insights, 8(4), 1546-1563. https://doi.org/10.1108/JHTI-05-2024-0508
Ajina, A. S., Islam, D. M. Z., Zamil, A. M. A., & Khan, K. (2024). Understanding green IT adoption: TAM and dual-lens of innovation resistance. Cogent Business and Management, 11(1), 1-22. https://doi.org/10.1080/23311975.2024.2403646
Cao, D., Xie, Q., Yao, X., & Zheng, Y. (2023). Organic food consumption in China: food safety concerns, perceptions, and purchase behavior under the moderating role of trust. Frontiers in Sustainable Food Systems, 7. https://doi.org/10.3389/fsufs.2023.1319309
Chang, C. W., Chang, S. H., Chiu, H. J., & Liu, Y. C. (2022). Understanding consumers’ intention to switch to electric motorcycles: a transaction cost economics perspective. Australasian Journal of Environmental Management, 29(1), 7–23. https://doi.org/10.1080/14486563.2021.1987345
Chen, H. S., Tsai, B. K., & Hsieh, C. M. (2018). The effects of perceived barriers on innovation resistance of hydrogen-electric motorcycles. Sustainability (Switzerland), 10(6), 1–15. https://doi.org/10.3390/su10061933
Chen, C. F., Eccarius, T., & Su, P. C. (2021). The role of environmental concern in forming intentions for switching to electric scooters. Transportation Research Part A: Policy and Practice, 154, 129-144.
Claudy, M. C., Peterson, M., & O’Driscoll, A. (2013). Understanding the Attitude-Behavior Gap for Renewable Energy Systems Using Behavioral Reasoning Theory. Journal of Macromarketing, 33(4), 273–287. https://doi.org/10.1177/0276146713481605
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Fatah Uddin, S. M., Bin Sabir, L., Kirmani, M. D., Kautish, P., Roubaud, D., & Grebinevych, O. (2024). Driving change: Understanding consumers' reasons influencing electric vehicle adoption from the lens of behavioural reasoning theory. Journal of Environmental Management, 369, 122277.
Fishbein, M. & Ajzen, I. (1975). Belief, Attitutude, Intention and Behavior. Reading, MA: Addison-Wesley.
Gomes, S., Lopes, J. M., & Nogueira, S. (2023). Willingness to pay more for green products: A critical challenge for Gen Z. Journal of Cleaner Production, 390, 136092.
Han, L., Wang, S., Zhao, D., & Li, J. (2017). The intention to adopt electric vehicles: Driven by functional and non-functional values. Transportation Research Part A: Policy and Practice, 103, 185-197.
He, X., Zhan, W., & Hu, Y. (2018). Consumer purchase intention of electric vehicles in China: The roles of perception and personality. Journal of Cleaner Production, 204, 1060–1069. https://doi.org/10.1016/J.JCLEPRO.2018.08.260
Ho, C. W., & Wu, C. C. (2021). Exploring Intention toward using an electric scooter: Integrating the technology readiness and acceptance into norm activation model (TRA-NAM). Energies, 14(21), 6895.
Jaiswal, D., Kaushal, V., Kant, R., & Kumar Singh, P. (2021). Consumer adoption intention for electric vehicles: Insights and evidence from Indian sustainable transportation. Technological Forecasting and Social Change, 173. https://doi.org/10.1016/J.TECHFORE.2021.121089
Ju, N., & Hun Kim, S. (2022). Electric vehicle resistance from Korean and American millennials: Environmental concerns and perception. Transportation Research Part D: Transport and Environment, 109. https://doi.org/10.1016/J.TRD.2022.103387
Kautish, P., Lavuri, R., Roubaud, D., & Grebinevych, O. (2024). Electric vehicles’ choice behaviour: An emerging market scenario. Journal of Environmental Management, 354. https://doi.org/10.1016/J.JENVMAN.2024.120250
Neves, J., & Oliveira, T. (2021). Understanding energy-efficient heating appliance behavior change: The moderating impact of the green self-identity. Energy, 225, 120169. https://doi.org/10.1016/j.energy.2021.120169
Ngoc Su, D., Quy Nguyen-Phuoc, D., Thi Kim Tran, P., Van Nguyen, T., Trong Luu, T., & Pham, H. G. (2023). Identifying must-have factors and should-have factors affecting the adoption of electric motorcycles – A combined use of PLS-SEM and NCA approach. Travel Behaviour and Society, 33. https://doi.org/10.1016/J.TBS.2023.100633
Nguyen-Phuoc, D. Q., Nguyen, N. A. N., Tran, P. T. K., Pham, H. G., & Oviedo-Trespalacios, O. (2023). The influence of environmental concerns and psychosocial factors on electric motorbike switching intention in the global south. Journal of Transport Geography, 113. https://doi.org/10.1016/J.JTRANGEO.2023.103705
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. https://doi.org/10.1016/J.TRANPOL.2023.11.013
Paramita, W., Rostiani, R., Hidayat, R., Nugroho, S. S., & Junarsin, E. (2024). For me, for you, or for the environment? Explaining young consumers’ motives for adopting electric cars based on the fundamental motive framework. Young Consumers, 25(2), 226–248. https://doi.org/10.1108/YC-12-2022-1660
Ram, S. (1987). A model of innovation resistance. Advances in consumer research, 14(1).
Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: The marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5. https://doi.org/10.1108/EUM0000000002542
Sadiq, M., Adil, M., & Paul, J. (2021). An innovation resistance theory perspective on purchase of eco-friendly cosmetics. Journal of Retailing and Consumer Services, 59. https://doi.org/10.1016/J.JRETCONSER.2020.102369
Sahu, A. K., Padhy, R. K., & Dhir, A. (2020). Envisioning the future of behavioral decision-making: A systematic literature review of behavioral reasoning theory. Australasian Marketing Journal, 28(4), 145–159. https://doi.org/10.1016/j.ausmj.2020.05.001
Sajjad, A., Chu, J., Anwar, M. A., & Asmi, F. (2020). Between green and gray: Smog risk and rationale behind vehicle switching. Journal of Cleaner Production, 244. https://doi.org/10.1016/J.JCLEPRO.2019.118674
Stern, P. C., Kalof, L., Dietz, T., & Guagnano, G. A. (1995). Values, beliefs, and proenvironmental action: Attitude formation toward emergent attitude objects 1. Journal of applied social psychology, 25(18), 1611-1636.
Tran, D. M., Hoang, N. L., & Nguyen-Phuoc, D. Q. (2023, August). Understanding the adoption of electric motorcycles among road users in Vietnam. In IOP Conference Series: Materials Science and Engineering (Vol. 1289, No. 1, p. 012053). IOP Publishing.
Vafaei-Zadeh, A., Wong, T. K., Hanifah, H., Teoh, A. P., & Nawaser, K. (2022). Modelling electric vehicle purchase intention among generation Y consumers in Malaysia. Research in Transportation Business and Management, 43. https://doi.org/10.1016/J.RTBM.2022.100784
Venkatesh & Davis. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Wang, S., Wang, J., Li, J., Wang, J., & Liang, L. (2018). Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter? Transportation Research Part A: Policy and Practice, 117(May), 58–69. https://doi.org/10.1016/j.tra.2018.08.014
Westaby, J. D. (2005). Behavioral reasoning theory: Identifying new linkages underlying intentions and behavior. Organizational Behavior and Human Decision Processes, 98(2), 97–120. https://doi.org/10.1016/J.OBHDP.2005.07.003
Wu, J., Liao, H., Wang, J. W., & Chen, T. (2019). The role of environmental concern in the public acceptance of autonomous electric vehicles: A survey from China. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 37–46. https://doi.org/10.1016/J.TRF.2018.09.029
Xue, Y., Zhang, X., Zhang, Y., & Luo, E. (2024). Understanding the Barriers to Consumer Purchasing of Electric Vehicles: The Innovation Resistance Theory. Sustainability (Switzerland) , 16(6), 1–20. https://doi.org/10.3390/su16062420
Zhang, X., & Chang, M. (2023). Applying the Extended Technology Acceptance Model to Explore Taiwan’s Generation Z’s Behavioral Intentions toward Using Electric Motorcycles. Sustainability (Switzerland), 15(4). https://doi.org/10.3390/SU15043787
Zhu, X., Ma, Y., Kong, L., & Yang, J. (2023). Understand consumers’ true views on new energy vehicles through behavioral reasoning and brand extension fit. Research in Transportation Business and Management, 49. https://doi.org/10.1016/J.RTBM.2023.100974
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