What technology enabled services impact business models in the automotive industry? An exploratory study: Business models in the automotive industry

A1 Journal article (refereed)

Internal Authors/Editors

Publication Details

List of Authors: Athanasopoulou Alexia, de Reuver Mark, Nikou Shahrokh, Bouwman Harry
Publisher: Science Driect
Publication year: 2019
Journal: Futures
Journal acronym: Futures
Volume number: 109
Start page: 73
End page: 83


The automotive industry is experiencing a phase of rapid innovation, with emergent technologies underpinning the realization of self-driving cars, increased use of data and data analytics, sensors to enable car components to connect to the Internet-of-Things and the use of alternative energy sources, such as electric vehicles. Such innovations enable novel services, which in turn require actors within the automotive industry to change their business models. In this paper, we aim to identify novel automotive services that impact business models within the automotive industry. We use Q-methodology to explore and analyze the opinions of researchers and experts from the automotive industry. We find that four groups of services are expected to impact the business models in the automotive industry most: (1) personalized services, (2) generic mobility services; (3) shared mobility, and (4) connected cars. These are services at the level of the end-user, while more fundamental technology-based innovations, such as electrical driving, autonomous driving and Internet-of-Things applications, are scattered over different groups of end-user services. From these results, current business models can be analyzed, and possible roadmaps for business model innovation can be developed.


Automotive industry, Business models, Q-Methodology, Technology Innovation

Last updated on 2020-08-07 at 05:16