Logistics business model evolution: digital platforms and connected and autonomous vehicles as disruptors

Javier Turienzo (), Alicia Blanco, Jesús F. Lampón and Maria del Pilar Muñoz-Dueñas
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Javier Turienzo: University of Vigo
Alicia Blanco: Universidad Rey Juan Carlos
Jesús F. Lampón: University of Vigo
Maria del Pilar Muñoz-Dueñas: University of Vigo

Review of Managerial Science, 2024, vol. 18, issue 9, No 2, 2483-2506

Abstract: Abstract Business models are being transformed by increasing digitalization of the economy and the emergence of technological systems. In logistics, through innovation and the implementation of information processing systems using digital platforms and the integration of Connected and Autonomous Vehicles (CAV), the transformation of business models is being bolstered. However, the digitalization of the business fabric and the predisposition to integrate into logistics platforms will condition business evolution. This paper aims to reveal the evolutionary trends in the business models of companies in the road freight transport sector, and also to outline the benefits and main barriers faced by managers in creating, delivering, and capturing value in a business environment characterized by the emergence of new business models, digital logistics platforms and CAVs. Through qualitative research based on interviews with strategy managers and senior executives from mobility and technology companies, the findings reveal the importance of business integration on digital platforms to optimize resources and deliver better services. By managing aggregated data from CAVs, digital platforms will enable personalized and comprehensive services through omni-channel delivery. By creating single interfaces for contracting, customer care and customer service, platforms enable companies to specialize in specific services and increase profitability while covering complete needs through cross-company collaborations.

Keywords: Business models; Contingency theory; Digitalization; Digital Platforms; Connected and Autonomous Vehicles (CAV) (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11846-023-00679-0

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