EconPapers    
Economics at your fingertips  
 

Business models in times of disruption: The connected and autonomous vehicles (uncertain) domino effect

Javier Turienzo, Pablo Cabanelas and Jesús F. Lampón

Journal of Business Research, 2023, vol. 156, issue C

Abstract: The ongoing digitalization of the economy is challenging the value creation process in traditional business. In the mobility-related industry, the disruptive potential of Connected and Autonomous Vehicles (CAV) has the capacity to transform business models. However, great uncertainty exists regarding the technological evolution and social trends that will condition businesses in the near future. This paper intends to use contingency theory to shed light on this topic and better understand the enhancers and barriers that managers should deal with to create, deliver, and capture value associated to CAV. With this aim, the paper adopts a qualitative approach based on in-depth interviews with high-level managers from different industries. The findings suggest the importance of data management to better understand the needs of the customer and vehicle requirements so that differential value can be provided. Two potential solutions that have emerged are, first, the establishment of alliances between companies competing in different areas and, second, digital platforms in order to enhance customer experience and the evolution from B2C to B2B markets associated with growing servitization.

Keywords: Business models; Digitalization; Connected and Autonomous Vehicles (CAV); Contingency theory; Disruption; Mobility-as-a-Service (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296322009468
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:156:y:2023:i:c:s0148296322009468

DOI: 10.1016/j.jbusres.2022.113481

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jbrese:v:156:y:2023:i:c:s0148296322009468