IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v151y2020ics004016251930410x.html
   My bibliography  Save this article

Logistics and the networked society: A conceptual framework for smart network business models using electric autonomous vehicles (EAVs)

Author

Listed:
  • Monios, Jason
  • Bergqvist, Rickard

Abstract

The full adoption of electric autonomous vehicles (EAVs) will revolutionise the global transport system in general and road freight transport in particular. Traditional business models based on manufacturers selling trucks to operators could conceivably disappear. As with passenger transport, the rapid obsolescence of the technology and the cost will drive a non-ownership model and an evolution from products to services. Therefore it is expected that a new network operator will emerge to run this service, which in the future will likely develop into a fully smart network. As the value of the truck technology is reduced and the software component becomes the core source of value creation, it opens up the possibility of new entrants to the market who do not need to purchase physical assets at all and may instead rent them from a competitive pool of asset providers.

Suggested Citation

  • Monios, Jason & Bergqvist, Rickard, 2020. "Logistics and the networked society: A conceptual framework for smart network business models using electric autonomous vehicles (EAVs)," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    • Handle: RePEc:eee:tefoso:v:151:y:2020:i:c:s004016251930410x
    DOI: 10.1016/j.techfore.2019.119824
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004016251930410X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2019.119824?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Roberts, Cameron & Geels, Frank W., 2019. "Conditions for politically accelerated transitions: Historical institutionalism, the multi-level perspective, and two historical case studies in transport and agriculture," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 221-240.
    2. 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.
    3. Itf, 2018. "Towards Road Freight Decarbonisation: Trends, Measures and Policies," International Transport Forum Policy Papers 64, OECD Publishing.
    4. Kley, Fabian & Lerch, Christian & Dallinger, David, 2011. "New business models for electric cars--A holistic approach," Energy Policy, Elsevier, vol. 39(6), pages 3392-3403, June.
    5. Richter, Mario, 2013. "Business model innovation for sustainable energy: German utilities and renewable energy," Energy Policy, Elsevier, vol. 62(C), pages 1226-1237.
    6. Meyer Haggège & Caroline Gauthier & Charles-Clemens Rüling, 2017. "Business model performance: five key drivers," Post-Print hal-01592049, HAL.
    7. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    8. Monios, Jason & Bergqvist, Rickard, 2019. "The transport geography of electric and autonomous vehicles in road freight networks," Journal of Transport Geography, Elsevier, vol. 80(C).
    9. Furuhata, Masabumi & Dessouky, Maged & Ordóñez, Fernando & Brunet, Marc-Etienne & Wang, Xiaoqing & Koenig, Sven, 2013. "Ridesharing: The state-of-the-art and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 28-46.
    10. Skeete, Jean-Paul, 2018. "Level 5 autonomy: The new face of disruption in road transport," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 22-34.
    11. Melander, Lisa & Dubois, Anna & Hedvall, Klas & Lind, Frida, 2019. "Future goods transport in Sweden 2050: Using a Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 178-189.
    12. Kumar Shalender, 2018. "Entrepreneurial orientation for sustainable mobility through electric vehicles," Journal of Enterprising Communities: People and Places in the Global Economy, Emerald Group Publishing Limited, vol. 12(1), pages 67-82, March.
    13. Peters, Jens F. & Baumann, Manuel & Zimmermann, Benedikt & Braun, Jessica & Weil, Marcel, 2017. "The environmental impact of Li-Ion batteries and the role of key parameters – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 491-506.
    14. Meyer Haggège & Caroline Gauthier & Charles-Clemens Rüling, 2017. "Business model performance: five key drivers," Grenoble Ecole de Management (Post-Print) hal-01592049, HAL.
    15. Weimer, Lucas & Braun, Tobias & Hemdt, Ansgar vom, 2019. "Design of a systematic value chain for lithium-ion batteries from the raw material perspective," Resources Policy, Elsevier, vol. 64(C).
    16. Morganti, Eleonora & Browne, Michael, 2018. "Technical and operational obstacles to the adoption of electric vans in France and the UK: An operator perspective," Transport Policy, Elsevier, vol. 63(C), pages 90-97.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alvarez León, Luis F. & Aoyama, Yuko, 2022. "Industry emergence and market capture: The rise of autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    2. Raj Bridgelall & Ryan Jones & Denver Tolliver, 2023. "Ranking Opportunities for Autonomous Trucks Using Data Mining and GIS," Geographies, MDPI, vol. 3(4), pages 1-18, December.
    3. Mustafa Qahtan Alsudani & Mustafa Musa Jaber & Mohammed Hasan Ali & Sura Khalil Abd & Ahmed Alkhayyat & Z. H. Kareem & Ahmed Rashid Mohhan, 2023. "RETRACTED ARTICLE: Smart logistics with IoT-based enterprise management system using global manufacturing," Journal of Combinatorial Optimization, Springer, vol. 45(2), pages 1-31, March.
    4. Weihua Wu & Jieyun Wei & Eun-Young Nam & Yifan Zhang & Dongphil Chun, 2024. "Data Drive—Charging Behavior of Electric Vehicle Users with Variable Roles," Sustainability, MDPI, vol. 16(11), pages 1-18, June.
    5. Dehkordi, Rashid & Ahokangas, Petri & Evers, Natasha & Sorvisto, Mika, 2024. "Business model design for Electric Commercial Vehicles (ECVs): An ecosystemic perspective," Energy Policy, Elsevier, vol. 186(C).
    6. Weihua Wu & Yifan Zhang & Dongphil Chun & Yu Song & Lingli Qing & Ying Chen & Peng Li, 2022. "Research on the Operation Modes of Electric Vehicles in Association with a 5G Real-Time System of Electric Vehicle and Traffic," Energies, MDPI, vol. 15(12), pages 1-17, June.
    7. Beckers, Joris & Cardenas, Ivan & Le Pira, Michela & Zhang, Jia, 2023. "Exploring Logistics-as-a-Service to integrate the consumer into urban freight," Research in Transportation Economics, Elsevier, vol. 101(C).
    8. Leminen, Seppo & Rajahonka, Mervi & Wendelin, Robert & Westerlund, Mika & Nyström, Anna-Greta, 2022. "Autonomous vehicle solutions and their digital servitization business models," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    9. Hopkins, Debbie & Schwanen, Tim, 2023. "Sociotechnical expectations of vehicle automation in the UK trucking sector," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Monios, Jason & Bergqvist, Rickard, 2019. "The transport geography of electric and autonomous vehicles in road freight networks," Journal of Transport Geography, Elsevier, vol. 80(C).
    2. Engholm, Albin & Kristoffersson, Ida & Pernestal, Anna, 2021. "Impacts of large-scale driverless truck adoption on the freight transport system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 227-254.
    3. Lowitzsch, Jens & Kreutzer, Kaja & George, Jan & Croonenbroeck, Carsten & Breitschopf, Barbara, 2023. "Development prospects for energy communities in the EU identifying best practice and future opportunities using a morphological approach," Energy Policy, Elsevier, vol. 174(C).
    4. Huang, Youlin & Qian, Lixian, 2021. "Consumer adoption of electric vehicles in alternative business models," Energy Policy, Elsevier, vol. 155(C).
    5. Gruber, Mario, 2020. "An evolutionary perspective on adoption-diffusion theory," Journal of Business Research, Elsevier, vol. 116(C), pages 535-541.
    6. Pejvak Oghazi & Rana Mostaghel, 2018. "Circular Business Model Challenges and Lessons Learned—An Industrial Perspective," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    7. Dehkordi, Rashid & Ahokangas, Petri & Evers, Natasha & Sorvisto, Mika, 2024. "Business model design for Electric Commercial Vehicles (ECVs): An ecosystemic perspective," Energy Policy, Elsevier, vol. 186(C).
    8. Pel, Bonno & Raven, Rob & van Est, Rinie, 2020. "Transitions governance with a sense of direction: synchronization challenges in the case of the dutch ‘Driverless Car’ transition," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    9. Goldschmidt, Rüdiger & Richter, Andreas & Pfeil, Raphael, 2019. "Active stakeholder involvement and organisational tasks as factors for an effective communication and governance strategy in the promotion of e-taxis. Results from a field research lab," Energy Policy, Elsevier, vol. 135(C).
    10. Wanjiku Joseph Thukia, 2022. "Differentiation strategies and tourism performance interplay," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(10), pages 13-23, December.
    11. Tang, Zhe-Yi & Tian, Li-Jun & Wang, David Z.W., 2021. "Multi-modal morning commute with endogenous shared autonomous vehicle penetration considering parking space constraint," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    12. Karakaya, Emrah & Nuur, Cali & Hidalgo, Antonio, 2016. "Business model challenge: Lessons from a local solar company," Renewable Energy, Elsevier, vol. 85(C), pages 1026-1035.
    13. Nilsson, Måns & Nykvist, Björn, 2016. "Governing the electric vehicle transition – Near term interventions to support a green energy economy," Applied Energy, Elsevier, vol. 179(C), pages 1360-1371.
    14. Fritschy, Carolin & Spinler, Stefan, 2019. "The impact of autonomous trucks on business models in the automotive and logistics industry–a Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    15. Yanyan Liu & Ying Cheng & Wei Liu, 2018. "Understanding Gatekeeping Transformation in the Chinese EV Industry: An Exploratory Study of the Focal Firms' Cross-industrial Interactions," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(3-B), pages 485-503.
    16. Latham, Alan & Nattrass, Michael, 2019. "Autonomous vehicles, car-dominated environments, and cycling: Using an ethnography of infrastructure to reflect on the prospects of a new transportation technology," Journal of Transport Geography, Elsevier, vol. 81(C).
    17. Müller, Simon C. & Welpe, Isabell M., 2018. "Sharing electricity storage at the community level: An empirical analysis of potential business models and barriers," Energy Policy, Elsevier, vol. 118(C), pages 492-503.
    18. Ensslen, Axel & Gnann, Till & Jochem, Patrick & Plötz, Patrick & Dütschke, Elisabeth & Fichtner, Wolf, 2020. "Can product service systems support electric vehicle adoption?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 343-359.
    19. McLeay, Fraser & Olya, Hossein & Liu, Hongfei & Jayawardhena, Chanaka & Dennis, Charles, 2022. "A multi-analytical approach to studying customers motivations to use innovative totally autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    20. Jesús Rodríguez-Molina & Margarita Martínez-Núñez & José-Fernán Martínez & Waldo Pérez-Aguiar, 2014. "Business Models in the Smart Grid: Challenges, Opportunities and Proposals for Prosumer Profitability," Energies, MDPI, vol. 7(9), pages 1-30, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:151:y:2020:i:c:s004016251930410x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.