The moderating effect of trust on the adoption of electric motorcycles among road users
Email:
npqduy@dut.udn.vn
Từ khóa:
Electric motorcycles, developing countries, energy, environment, Vietnam
Tóm tắt
Motorcycles with internal combustion engines fueled by fossil fuels dominate the traffic flow in major Asian cities, contributing significantly to air and noise pollution compared to other transport modes like walking, cycling, and public transport. To address this issue, many Asian countries are promoting the adoption of electric motorcycles to reduce air pollution and reliance on non-renewable energy sources. However, the adoption of electric motorcycles faces various challenges. This study investigates factors influencing the adoption of electric motorcycles in Vietnam. Structural equation model (PLS-SEM) software was used to analyze data gathered from 751 valid responses. The findings reveal that perceived usefulness has the most significant positive impact on the adoption of electric motorcycles, while perceived risk acts as a barrier to the adoption intention. Additionally, age moderates the relationship between perceived ease of use and adoption intention, and income level influences the correlation between perceived risk and the adoption of electric motorcycles. The study also discusses the policy implications, focusing on how motorbike manufacturers can further promote the adoption of electric motorbikes (EMs)Tài liệu tham khảo
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[33]. Y. Liu, I. K. W. Lai, The effects of environmental policy and the perception of electric motorcycles on the acceptance of electric motorcycles: an empirical study in Macau, Sage Open, 10 (2020) 2158244019899091. https://doi.org/10.1177/215824401989909
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[38]. D. Q. Nguyen-Phuoc, T. M. Truong, M. H. Nguyen, H.-G. Pham, Z.-C. Li, O. Oviedo-Trespalacios, What factors influence the intention to use electric motorcycles in motorcycle-dominated countries? An empirical study in Vietnam, Transport Policy, 146 (2024) 193-204. https://doi.org/10.1016/j.tranpol.2023.11.013
[39]. M. G. Senali, M. Iranmanesh, F. N. Ismail, N. F. A. Rahim, M. Khoshkam, M. Mirzaei, Determinants of intention to use e-Wallet: Personal innovativeness and propensity to trust as moderators, International Journal of Human–Computer Interaction, 39 (2023) 2361-2373. https://doi.org/10.1080/10447318.2022.2076309
[2]. O. A. Towoju, F. A. Ishola, A case for the internal combustion engine powered vehicle, Energy Reports, 6 (2020) 315-321. https://doi.org/10.1016/j.egyr.2019.11.082
[3]. Y. Liu, X. Zhao, D. Lu,X. Li, Impact of policy incentives on the adoption of electric vehicle in China, Transportation research part A: policy and practice, 176 (2023) 103801. https://doi.org/10.1016/j.tra.2023.103801
[4]. D. Meszler, "Air Emissions Issues Related to Two-and Three-Wheeled Motor Vehicles–An Initial Assessment of Current Conditions and Options for Control", Report for the International Council on Clean Transportation (ICCT), Washington DC, USAhttps://theicct.org/sites/default/files/publications/twothree_wheelers_2007.pdf (2007)
[5]. L. R. Jones, C. R. Cherry, T. A. Vu, Q. N. Nguyen, The effect of incentives and technology on the adoption of electric motorcycles: A stated choice experiment in Vietnam, Transportation Research Part A: Policy and Practice, 57 (2013) 1-11. https://doi.org/10.1016/j.tra.2013.09.003
[6]. A. Kakouei, A. Vatani,A. K. B. Idris, An estimation of traffic related CO 2 emissions from motor vehicles in the capital city of, Iran, Iranian Journal of Environmental Health Science & Engineering, 9 (2012) 1-5. https://doi.org/10.1186/1735-2746-9-13
[7]. C. Cherry, R. Cervero, Use characteristics and mode choice behavior of electric bike users in China, Transport Policy, 14 (2007) 247-257. https://doi.org/10.1016/j.tranpol.2007.02.005
[8]. S. E. Kim, S. Harish, R. Kennedy, X. Jin,J. Urpelainen, Environmental degradation and public opinion: The case of air pollution in Vietnam, The Journal of Environment & Development, 29 (2020) 196-222. https://doi.org/10.1177/1070496519888252
[9]. N. T. Hung, M. Ketzel, S. S. Jensen,N. T. K. Oanh, Air pollution modeling at road sides using the operational street pollution model—a case study in Hanoi, Vietnam, Journal of the Air & Waste Management Association, 60 (2010) 1315-1326. https://doi.org/10.3155/1047-3289.60.11.1315
[10]. Y. Ma, R.-Y. Ke, R. Han,B.-J. Tang, The analysis of the battery electric vehicle’s potentiality of environmental effect: A case study of Beijing from 2016 to 2020, Journal of Cleaner Production, 145 (2017) 395-406. https://doi.org/10.1016/j.jclepro.2016.12.131
[11]. D. N. Su, D. Q. Nguyen-Phuoc, P. T. K. Tran, T. Van Nguyen, T. T. Luu,H.-G. Pham, 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 (2023) 100633. https://doi.org/10.1016/j.tbs.2023.100633
[12]. F. D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, (1989) 319-340. https://doi.org/10.2307/249008
[13]. A. W. Siyal, D. Donghong, W. A. Umrani, S. Siyal, S. Bhand, Predicting mobile banking acceptance and loyalty in Chinese bank customers, Sage Open, 9 (2019) 2158244019844084. https://doi.org/10.1177/215824401984408
[14]. V. Venkatesh, F. D. Davis, A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science, 46 (2000) 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
[15]. H. Van der Heijden, Factors influencing the usage of websites: the case of a generic portal in The Netherlands, Information & Management, 40 (2003) 541-549. https://doi.org/10.1016/S0378-7206(02)00079-4
[16]. Y.-H. Lee, Y.-C. Hsieh,C.-N. Hsu, Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems, Journal of Educational Technology & Society, 14 (2011) 124-137. https://www.jstor.org/stable/jeductechsoci.14.4.124
[17]. S. Shaikh, M. A. H. Talpur, F. Baig, F. Tariq,S. H. Khahro, Adoption of Electric Motorcycles in Pakistan: A Technology Acceptance Model Perspective, World Electric Vehicle Journal, 14 (2023) 278. https://doi.org/10.3390/wevj14100278
[18]. R. A. Bauer, Consumer behavior as risk taking, Proceedings of the 43rd National Conference of the American Marketing Assocation, June 15, 16, 17, Chicago, Illinois, 1960, 1960, pp.178
[19]. D. F. Cox,S. U. Rich, Perceived risk and consumer decision-making—the case of telephone shopping, Journal of Marketing Research, 1 (1964) 32-39. https://doi.org/10.1177/00222437640010040
[20]. J. Jacoby,L. B. Kaplan, The components of perceived risk, ACR special volumes, 1972,
[21]. D. Q. Nguyen-Phuoc, D. N. Su, P. T. K. Tran, D.-T. T. Le, L. W. Johnson, Factors influencing customer's loyalty towards ride-hailing taxi services–A case study of Vietnam, Transportation Research Part A: Policy and Practice, 134 (2020) 96-112. https://doi.org/10.1016/j.tra.2020.02.008
[22]. D. Q. Nguyen-Phuoc, O. Oviedo-Trespalacios, M. H. Nguyen, M. T. T. Dinh, D. N. Su, Intentions to use ride-sourcing services in Vietnam: What happens after three months without COVID-19 infections?, Cities, 126 (2022) 103691. https://doi.org/10.1016/j.cities.2022.103691
[23]. T. Eccarius, C.-C. Lu, Powered two-wheelers for sustainable mobility: A review of consumer adoption of electric motorcycles, International Journal of Sustainable Transportation, 14 (2020) 215-231. https://doi.org/10.1080/15568318.2018.1540735
[24]. H.-S. Chen, B.-K. Tsai,C.-M. Hsieh, Determinants of consumers’ purchasing intentions for the hydrogen-electric motorcycle, Sustainability, 9 (2017) 1447. https://doi.org/10.3390/su9081447
[25]. A. M. Ngoc, H. Nishiuchi, N. T. Nhu, Determinants of carriers' intentions to use electric cargo vehicles in last-mile delivery by extending the technology acceptance model: a case study of Vietnam, The International Journal of Logistics Management, 34 (2023) 210-235. https://doi.org/10.1108/IJLM-12-2021-0566
[26]. J.-W. Moon, Y.-G. Kim, Extending the TAM for a World-Wide-Web context, Information & Management, 38 (2001) 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
[27]. S. Wang, J. Wang, J. Li, J. Wang, L. Liang, 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 (2018) 58-69. https://doi.org/10.1016/j.tra.2018.08.014
[28]. J. K. Choi, Y. G. Ji, Investigating the importance of trust on adopting an autonomous vehicle, International Journal of Human-Computer Interaction, 31 (2015) 692-702. https://doi.org/10.1080/10447318.2015.1070549
[29]. Q. Yang, C. Pang, L. Liu, D. C. Yen, J. M. Tarn, Exploring consumer perceived risk and trust for online payments: An empirical study in China’s younger generation, Computers in Human Behavior, 50 (2015) 9-24. https://doi.org/10.1016/j.chb.2015.03.058
[30]. M. Dikmen, C. Burns, Trust in autonomous vehicles: The case of Tesla Autopilot and Summon, 2017 IEEE International conference on systems, man, and cybernetics (SMC), (2017) 1093-1098. https://doi.org/10.1109/SMC.2017.8122757
[31]. D. J. Kim, D. L. Ferrin, H. R. Rao, A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents, Decision Support Systems, 44 (2008) 544-564. https://doi.org/10.1016/j.dss.2007.07.001
[32]. M. Coffman, P. Bernstein,S. Wee, Electric vehicles revisited: a review of factors that affect adoption, Transport Reviews, 37 (2017) 79-93. https://doi.org/10.1080/01441647.2016.1217282
[33]. Y. Liu, I. K. W. Lai, The effects of environmental policy and the perception of electric motorcycles on the acceptance of electric motorcycles: an empirical study in Macau, Sage Open, 10 (2020) 2158244019899091. https://doi.org/10.1177/215824401989909
[34]. A. Wolf, S. Seebauer, Technology adoption of electric bicycles: A survey among early adopters, Transportation Research Part A: Policy and Practice, 69 (2014) 196-211. https://doi.org/10.1016/j.tra.2014.08.007
[35]. C. Fornell, D. F. Larcker, Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18 (1981) 39-50. https://doi.org/10.1177/002224378101800104
[36]. J. Henseler, C. M. Ringle, M. Sarstedt, A new criterion for assessing discriminant validity in variance-based structural equation modeling, Journal of the Academy of Marketing Science, 43 (2015) 115-135. https://doi.org/10.1007/s11747-014-0403-8
[37]. J. F. Hair, R. Anderson, R. Tatham, W. Black, Multivariate data analysis prentice hall, Upper Saddle River, NJ, 730 (2010)
[38]. D. Q. Nguyen-Phuoc, T. M. Truong, M. H. Nguyen, H.-G. Pham, Z.-C. Li, O. Oviedo-Trespalacios, What factors influence the intention to use electric motorcycles in motorcycle-dominated countries? An empirical study in Vietnam, Transport Policy, 146 (2024) 193-204. https://doi.org/10.1016/j.tranpol.2023.11.013
[39]. M. G. Senali, M. Iranmanesh, F. N. Ismail, N. F. A. Rahim, M. Khoshkam, M. Mirzaei, Determinants of intention to use e-Wallet: Personal innovativeness and propensity to trust as moderators, International Journal of Human–Computer Interaction, 39 (2023) 2361-2373. https://doi.org/10.1080/10447318.2022.2076309
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05/05/2024
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28/07/2024
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10/09/2024
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15/09/2024
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Kiểu trích dẫn
Tran Dinh, M., Nguyen Van, B., Hoang Nhat, L., Le Minh, T., & Nguyen Phuoc Quy, D. (1726333200). The moderating effect of trust on the adoption of electric motorcycles among road users. Tạp Chí Khoa Học Giao Thông Vận Tải, 75(7), 2030-2044. https://doi.org/10.47869/tcsj.75.7.2
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