Shifting Toward Sustainability: Examining Customer Intention to Use EV-Based Delivery Services
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The rapid expansion of e-commerce highlights the importance of sustainable and efficient last-mile delivery solutions. The electric vehicles (EVs) offer potential environmental benefits, such as reducing CO₂ emissions, yet their adoption in last-mile logistics remains limited. This study aims to investigate the key factors influencing customers' intention to use electric vehicle (EV)-based delivery services. The authors integrate the extended Theory of Planned Behaviour (TPB) model, comprising attitude, subjective norm, and perceived behavioral control over EV delivery, with two additional variables: willingness to pay and environmental concern. A quantitative methodology was utilized, with 331 data samples collected for analysis and hypothesis testing. Hierarchical multiple regression was conducted using SPSS. The findings indicate that perceived behavioral control emerged as the strongest predictor, while environmental concern and willingness to pay significantly enhanced the model’s explanatory power. Notably, environmental concern replaced traditional TPB factors like attitude and subjective norms in predicting intention, suggesting a value-driven mindset among users. This research fills a gap in existing literature by focusing on customer perspectives on EV delivery and offers practical insights for policymakers and service providers, emphasizing the roles of environmental messaging, service accessibility, and affordability in promoting EV-based delivery adoption and shaping more sustainable logistics strategies.
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[1] Lombardo, C. (2024). Global Courier & Delivery Services - Market Research Report (2014-2029). IBISWorld. Available online: https://www.ibisworld.com/global/industry/global-courier-delivery-services/1660/ (accessed on November 2025).
[2] Statista. (2025). Online Food Delivery - Worldwide. Available online: https://www.statista.com/outlook/emo/online-food-delivery/worldwide (accessed on November 2025).
[3] Möller, P. (2023). Last Mile 2030 – The Future of Delivery. FREIGHTCONNECTIONS. Available online: https://dhl-freight-connections.com/en/trends/last-mile-2030-the-future-of-delivery/ (accessed on November 2025).
[4] Muñoz-Villamizar, A., Velázquez-Martínez, J. C., Haro, P., Ferrer, A., & Mariño, R. (2021). The environmental impact of fast shipping ecommerce in inbound logistics operations: A case study in Mexico. Journal of Cleaner Production, 283, 125400. doi:10.1016/j.jclepro.2020.125400.
[5] Bell, L., Spinler, S., Winkenbach, M., & Müller, V. (2023). Assessing economic, social and ecological impact of parcel-delivery interventions in integrated simulation. Transportation Research Part D: Transport and Environment, 121, 103817. doi:10.1016/j.trd.2023.103817.
[6] Chu, J., Liu, H., & Salvo, A. (2021). Air pollution as a determinant of food delivery and related plastic waste. Nature Human Behaviour, 5(2), 212–220. doi:10.1038/s41562-020-00961-1.
[7] Lazarevic, D., Švadlenka, L., Radojicic, V., & Dobrodolac, M. (2020). New express delivery service and its impact on CO2 emissions. Sustainability (Switzerland), 12(2), 456. doi:10.3390/su12020456.
[8] Sutikno, Royali, A. S., Sholiha, F. U., & Wahyudi Suliswanto, M. S. (2024). Investigating the Impact of Economic Growth on Pollution Index in Emerging Market Countries. Journal of Human, Earth, and Future, 5(3), 408–420. doi:10.28991/HEF-2024-05-03-07.
[9] Anosike, A., Loomes, H., Udokporo, C. K., & Garza-Reyes, J. A. (2023). Exploring the challenges of electric vehicle adoption in final mile parcel delivery. International Journal of Logistics Research and Applications, 26(6), 683–707. doi:10.1080/13675567.2021.1978409.
[10] Egbue, O., & Long, S. (2012). Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions. Energy Policy, 48, 717–729. doi:10.1016/j.enpol.2012.06.009.
[11] Ferreira, J. C., & Esperança, M. (2025). Enhancing Sustainable Last-Mile Delivery: The Impact of Electric Vehicles and AI Optimization on Urban Logistics. World Electric Vehicle Journal, 16(5), 242. doi:10.3390/wevj16050242.
[12] Kaplan, S., Gruber, J., Reinthaler, M., & Klauenberg, J. (2016). Intentions to introduce electric vehicles in the commercial sector: A model based on the theory of planned behaviour. Research in Transportation Economics, 55, 12–19. doi:10.1016/j.retrec.2016.04.006.
[13] Ehrler, V., & Hebes, P. (2012). Electromobility for City Logistics–The Solution to Urban Transport Collapse? An Analysis Beyond Theory. Procedia - Social and Behavioral Sciences, 48, 786–795. doi:10.1016/j.sbspro.2012.06.1056.
[14] Mogire, E., Kilbourn, P., & Luke, R. (2025). Electric Vehicles in Last-Mile Delivery: A Bibliometric Review. World Electric Vehicle Journal, 16(1), 52. doi:10.3390/wevj16010052.
[15] Energy Policy & Planning Office. (2022). EV Charging Station Situation Report. Ministry of Energy, Thailand. Available online: https://www.eppo.go.th/index.php/en/component/k2/item/17415-ev-charging-221064-04 (accessed on November 2025).
[16] Boo, S. Y., & Tan, C. (2024). Electric vehicles purchase intention: the role of mediators using an extended TPB model. Journal of Contemporary Marketing Science, 7(2), 158–183. doi:10.1108/jcmars-11-2023-0042.
[17] Shalender, K., & Sharma, N. (2021). Using extended theory of planned behaviour (TPB) to predict adoption intention of electric vehicles in India. Environment, Development and Sustainability, 23(1), 665–681. doi:10.1007/s10668-020-00602-7.
[18] Siragusa, C., Tumino, A., Mangiaracina, R., & Perego, A. (2022). Electric vehicles performing last-mile delivery in B2C e-commerce: An economic and environmental assessment. International Journal of Sustainable Transportation, 16(1), 22–33. doi:10.1080/15568318.2020.1847367.
[19] Wang, S., Fan, J., Zhao, D., Yang, S., & Fu, Y. (2016). Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model. Transportation, 43(1), 123–143. doi:10.1007/s11116-014-9567-9.
[20] Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi:10.1016/0749-5978(91)90020-T.
[21] Alzubaidi, H., Slade, E. L., & Dwivedi, Y. K. (2021). Examining antecedents of consumers’ pro-environmental behaviours: TPB extended with materialism and innovativeness. Journal of Business Research, 122, 685–699. doi:10.1016/j.jbusres.2020.01.017.
[22] Goh, E., Ritchie, B., & Wang, J. (2017). Non-compliance in national parks: An extension of the theory of planned behaviour model with pro-environmental values. Tourism Management, 59, 123–127. doi:10.1016/j.tourman.2016.07.004.
[23] Vilaisri, S., Chamchang, P., & Kumar, V. (2023). Factors Influencing Intentions to Return Express Delivery Packages for Next Use in a Developing Country. ABAC Journal, 43(4), 223–240. doi:10.59865/ABACJ.2023.47.
[24] Al-Mamary, Y. H. S., Abdulrab, M., Alwaheeb, M. A., & Alshammari, N. G. M. (2020). Factors impacting entrepreneurial intentions among university students in Saudi Arabia: testing an integrated model of TPB and EO. Education and Training, 62(7–8), 779–803. doi:10.1108/ET-04-2020-0096.
[25] Asadi, S., Nilashi, M., Safaei, M., Abdullah, R., Saeed, F., Yadegaridehkordi, E., & Samad, S. (2019). Investigating factors influencing decision-makers’ intention to adopt Green IT in Malaysian manufacturing industry. Resources, Conservation and Recycling, 148, 36–54. doi:10.1016/j.resconrec.2019.04.028.
[26] Moser, A. K. (2015). Thinking green, buying green? Drivers of pro-Environmental purchasing behavior. Journal of Consumer Marketing, 32(3), 167–175. doi:10.1108/JCM-10-2014-1179.
[27] Nayum, A., Klöckner, C. A., & Mehmetoglu, M. (2016). Comparison of socio-psychological characteristics of conventional and battery electric car buyers. Travel Behaviour and Society, 3, 8–20. doi:10.1016/j.tbs.2015.03.005.
[28] Igwe, A., Ogbo, A., Agbaeze, E., Abugu, J., Ezenwakwelu, C., & Okwo, H. (2020). Self-Efficacy and Subjective Norms as Moderators in the Networking Competence–Social Entrepreneurial Intentions Link. SAGE Open, 10(3), 2158244020934878. doi:10.1177/2158244020934878.
[29] Correia, E., Sousa, S., Viseu, C., & Leite, J. (2022). Using the theory of planned behavior to understand the students’ pro-environmental behavior: a case-study in a Portuguese HEI. International Journal of Sustainability in Higher Education, 23(5), 1070–1089. doi:10.1108/IJSHE-05-2021-0201.
[30] Gass, V., Schmidt, J., & Schmid, E. (2014). Analysis of alternative policy instruments to promote electric vehicles in Austria. Renewable Energy, 61, 96–101. doi:10.1016/j.renene.2012.08.012.
[31] Ng, M., Law, M., & Zhang, S. (2018). Predicting purchase intention of electric vehicles in Hong Kong. Australasian Marketing Journal, 26(3), 272–280. doi:10.1016/j.ausmj.2018.05.015.
[32] Shao, S., Tian, Z., & Fan, M. (2018). Do the rich have stronger willingness to pay for environmental protection? New evidence from a survey in China. World Development, 105, 83–94. doi:10.1016/j.worlddev.2017.12.033.
[33] Achtnicht, M. (2012). German car buyers’ willingness to pay to reduce CO2 emissions. Climatic Change, 113(3–4), 679–697. doi:10.1007/s10584-011-0362-8.
[34] Dardanoni, V., & Guerriero, C. (2021). Young people’s willingness to pay for environmental protection. Ecological Economics, 179, 106853. doi:10.1016/j.ecolecon.2020.106853.
[35] Ribeiro, N., Gomes, D., Oliveira, A. R., & Dias Semedo, A. S. (2023). The impact of the work-family conflict on employee engagement, performance, and turnover intention. International Journal of Organizational Analysis, 31(2), 533–549. doi:10.1108/IJOA-02-2021-2646.
[36] Tanner, C., & Kast, S. W. (2003). Promoting Sustainable Consumption: Determinants of Green Purchases by Swiss Consumers. Psychology and Marketing, 20(10), 883–902. doi:10.1002/mar.10101.
[37] Lai, I. K. W., Liu, Y., Sun, X., Zhang, H., & Xu, W. (2015). Factors influencing the behavioural intention towards full electric vehicles: An empirical study in Macau. Sustainability (Switzerland), 7(9), 12564–12585. doi:10.3390/su70912564.
[38] Kahn, M. E. (2007). Do greens drive Hummers or hybrids? Environmental ideology as a determinant of consumer choice. Journal of Environmental Economics and Management, 54(2), 129–145. doi:10.1016/j.jeem.2007.05.001.
[39] Ziegler, D., & Abdelkafi, N. (2022). Business models for electric vehicles: Literature review and key insights. Journal of Cleaner Production, 330, 129803. doi:10.1016/j.jclepro.2021.129803.
[40] Permasih, D., Suroso, A. I., & Hasanah, N. (2024). Intention to Use and Over-Ordering in Online Food Delivery Services: An Extension of the Theory of Planned Behavior. Journal of Consumer Sciences, 9(3), 315–337. doi:10.29244/jcs.9.3.315-337.
[41] Thamrongsinthavorn, S. (2023). The Relationship Model of Consumer’s Environmental Responsibility and Intention to Buy Green Products with Attitudes Toward Price and Convenience. Available online: https://buuir.buu.ac.th/handle/1234567890/10263 (accessed on November 2025).
[42] Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences. Routledge, New York. doi:10.4324/9780203771587.
[43] Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. doi:10.2307/3151312.
[44] Flury, B., Murtagh, F., & Heck, A. (1988). Multivariate Data Analysis. Mathematics of Computation, 50(181), 352. doi:10.2307/2007941.
[45] Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. doi:10.1007/s11747-014-0403-8.
[46] Taber, K. S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48(6), 1273–1296. doi:10.1007/s11165-016-9602-2.
[47] 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. doi:10.1016/j.jclepro.2023.136092.
[48] Hahnel, U. J. J., Ortmann, C., Korcaj, L., & Spada, H. (2014). What is green worth to you? Activating environmental values lowers price sensitivity towards electric vehicles. Journal of Environmental Psychology, 40, 306–319. doi:10.1016/j.jenvp.2014.08.002.
[49] Ziegler, A. (2012). Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany. Transportation Research Part A: Policy and Practice, 46(8), 1372–1385. doi:10.1016/j.tra.2012.05.016.
[50] Cattapan, T., Vilaisri, S., & Chinchanachokchai, S. (2023). The Influence of Social Media Influencers (SMI) on the Pro-Environmental Behavior of Thai Generation Y Regarding the Purchase of Electric Vehicles. ABAC Journal 43(2): 77–91. doi:10.14456/abacj.2023.16.
[51] Buriyameathagul, K. (2013). Characteristics of Culture in Thai Society and Virtual Communities. Silpakorn University Journal of Social Sciences, 13(2), 207–270.
[52] Pimpa, N. (2012). Amazing Thailand: Organizational Culture in the Thai Public Sector. International Business Research, 5(11), 35. doi:10.5539/ibr.v5n11p35.
[53] Boyle, J. (1998). Cultural influences on implementing environmental impact assessment: Insights from Thailand, Indonesia, and Malaysia. Environmental Impact Assessment Review, 18(2), 95–116. doi:10.1016/S0195-9255(97)00082-6.
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