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

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  • 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.

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  • 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
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    4. 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.
    5. 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).
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    7. Hopkins, Debbie & Schwanen, Tim, 2023. "Sociotechnical expectations of vehicle automation in the UK trucking sector," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

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