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Enhancing Sustainable Business Models for Green Transportation

Author

Listed:
  • Vasco Simões

    (DMOGG, ISCTE-IUL, 1649-026 Lisbon, Portugal)

  • Leandro Pereira

    (DMOGG, ISCTE-IUL, 1649-026 Lisbon, Portugal
    BRU-Business Research Unit, 1649-026 Lisbon, Portugal)

  • Álvaro Dias

    (DMOGG, ISCTE-IUL, 1649-026 Lisbon, Portugal
    BRU-Business Research Unit, 1649-026 Lisbon, Portugal)

Abstract

Business models (BMs) are crucial for the successful market penetration and diffusion of sustainable innovations. Nonetheless, consumer preference knowledge about adopting electric vehicles (EVs) under innovative BMs is low. Drawing on existing conceptualizations of BMs, this investigation studied consumer preferences for three innovative BMs (EV-leasing; battery-leasing; B2C EV-sharing) and the traditional total purchase BM. This research aimed to analyze the growth of the EV market, as well as to understand consumer preferences regarding business models and how these can overcome the barriers to EV purchase. During this study, an empirical study was applied based on a quantitative method. Data were collected through Google Forms and disseminated via social media. Using survey data to conduct a quantitative analysis, the findings showed that most people have an interest in EVs but consider their high cost the main barrier. The environmental benefits are the main motivation for buying an EV, since people are very concerned about the environment. Regarding the innovative business models (IBMs), most people were not aware of their existence but believed that they were fundamental for EV acquisition.

Suggested Citation

  • Vasco Simões & Leandro Pereira & Álvaro Dias, 2023. "Enhancing Sustainable Business Models for Green Transportation," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7272-:d:1134260
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    References listed on IDEAS

    as
    1. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    2. Huang, Youlin & Qian, Lixian & Soopramanien, Didier & Tyfield, David, 2021. "Buy, lease, or share? Consumer preferences for innovative business models in the market for electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Zhang, Shaojun & Wu, Ye & Liu, Huan & Huang, Ruikun & Yang, Liuhanzi & Li, Zhenhua & Fu, Lixin & Hao, Jiming, 2014. "Real-world fuel consumption and CO2 emissions of urban public buses in Beijing," Applied Energy, Elsevier, vol. 113(C), pages 1645-1655.
    4. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    5. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2016. "The effect of policy incentives on electric vehicle adoption," Energy Policy, Elsevier, vol. 94(C), pages 94-103.
    6. Mandys, F., 2021. "Electric vehicles and consumer choices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    7. Nocera, Silvio & Cavallaro, Federico, 2016. "The competitiveness of alternative transport fuels for CO2 emissions," Transport Policy, Elsevier, vol. 50(C), pages 1-14.
    8. Zarazua de Rubens, Gerardo & Noel, Lance & Kester, Johannes & Sovacool, Benjamin K., 2020. "The market case for electric mobility: Investigating electric vehicle business models for mass adoption," Energy, Elsevier, vol. 194(C).
    9. Hidrue, Michael K. & Parsons, George R., 2015. "Is there a near-term market for vehicle-to-grid electric vehicles?," Applied Energy, Elsevier, vol. 151(C), pages 67-76.
    10. Bohnsack, René & Pinkse, Jonatan & Kolk, Ans, 2014. "Business models for sustainable technologies: Exploring business model evolution in the case of electric vehicles," Research Policy, Elsevier, vol. 43(2), pages 284-300.
    11. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
    12. Álvaro Dias & Leandro Pereira & Renato Lopes da Costa, 2023. "Organizational Capabilities as Antecedents of Entrepreneurship: A Basis for Business Practice and Policy Making," Journal of African Business, Taylor & Francis Journals, vol. 24(1), pages 1-18, January.
    13. Budde Christensen, Thomas & Wells, Peter & Cipcigan, Liana, 2012. "Can innovative business models overcome resistance to electric vehicles? Better Place and battery electric cars in Denmark," Energy Policy, Elsevier, vol. 48(C), pages 498-505.
    14. Ke, Wenwei & Zhang, Shaojun & He, Xiaoyi & Wu, Ye & Hao, Jiming, 2017. "Well-to-wheels energy consumption and emissions of electric vehicles: Mid-term implications from real-world features and air pollution control progress," Applied Energy, Elsevier, vol. 188(C), pages 367-377.
    15. Scarinci, Riccardo & Rast, Frédéric & Bierlaire, Michel, 2017. "Needed reduction in mobility energy consumption to meet the goal of a 2000-watt society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 133-148.
    16. Rennings, Klaus, 2000. "Redefining innovation -- eco-innovation research and the contribution from ecological economics," Ecological Economics, Elsevier, vol. 32(2), pages 319-332, February.
    17. Liao, Fanchao & Molin, Eric & Timmermans, Harry & van Wee, Bert, 2019. "Consumer preferences for business models in electric vehicle adoption," Transport Policy, Elsevier, vol. 73(C), pages 12-24.
    18. Huang, Youlin & Qian, Lixian, 2021. "Consumer adoption of electric vehicles in alternative business models," Energy Policy, Elsevier, vol. 155(C).
    19. Newbery, David & Strbac, Goran & Viehoff, Ivan, 2016. "The benefits of integrating European electricity markets," Energy Policy, Elsevier, vol. 94(C), pages 253-263.
    20. Graham Town & Seyedfoad Taghizadeh & Sara Deilami, 2022. "Review of Fast Charging for Electrified Transport: Demand, Technology, Systems, and Planning," Energies, MDPI, vol. 15(4), pages 1-30, February.
    21. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    22. Cao, Jidi & Chen, Xin & Qiu, Rui & Hou, Shuhua, 2021. "Electric vehicle industry sustainable development with a stakeholder engagement system," Technology in Society, Elsevier, vol. 67(C).
    23. Henry Chesbrough & Richard S. Rosenbloom, 2002. "The role of the business model in capturing value from innovation: evidence from Xerox Corporation's technology spin-off companies," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(3), pages 529-555, June.
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