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

A1 Originalartikel i en vetenskaplig tidskrift (referentgranskad)

Interna författare/redaktörer

Publikationens författare: Athanasopoulou Alexia, de Reuver Mark, Nikou Shahrokh, Bouwman Harry
Förläggare: Science Driect
Publiceringsår: 2019
Tidskrift: Futures
Tidskriftsakronym: Futures
Volym: 109
Artikelns första sida, sidnummer: 73
Artikelns sista sida, sidnummer: 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

Senast uppdaterad 2020-25-01 vid 03:22