Digital Transformation of the Automotive Industry : An Integrating Framework to Analyse Technological Novelty and Breadth
(2023) In Industry and Innovation 30(1). p.67-102- Abstract
Research demonstrates that digital technologies stimulate industrial transformation by enabling new interdependencies with firms outside and across firm and industry boundaries. However, we know little about the degree of novelty and breadth of digital technologies that have the potential to transform industries. Understanding the degree of novelty (spanning from radical to incremental) and breadth (spanning from one sector to multiple sectors) of digital technologies is important for measuring their impact on industrial transformation. Through a topic modelling research approach on autonomous vehicle technology patents from firms operating in Sweden and a confirmatory survey with the inventors of those patents, this paper reveals 26... (More)
Research demonstrates that digital technologies stimulate industrial transformation by enabling new interdependencies with firms outside and across firm and industry boundaries. However, we know little about the degree of novelty and breadth of digital technologies that have the potential to transform industries. Understanding the degree of novelty (spanning from radical to incremental) and breadth (spanning from one sector to multiple sectors) of digital technologies is important for measuring their impact on industrial transformation. Through a topic modelling research approach on autonomous vehicle technology patents from firms operating in Sweden and a confirmatory survey with the inventors of those patents, this paper reveals 26 digital technology topics that are transforming the automotive industry. The digital technology topics are distributed across four ideal-typical technology categories for transformation: augmenting, spanning, transforming, and disrupting. This study illustrates the value of studying digital technologies’ transformative nature using an integrating framework; it reveals that digital technologies in the automotive industry have mainly incremental characteristics but that these characteristics provide necessary preconditions for the few more radical technologies to achieve their potential in transforming the industry.
(Less)
- author
- Lopez-Vega, Henry and Moodysson, Jerker LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Artificial intelligence, D83, Digital Technologies, Emerging technologies, Industry digitalization, O14, O32, O33, R4, Topic modelling
- in
- Industry and Innovation
- volume
- 30
- issue
- 1
- pages
- 36 pages
- publisher
- Routledge
- external identifiers
-
- scopus:85145475061
- ISSN
- 1366-2716
- DOI
- 10.1080/13662716.2022.2151873
- language
- English
- LU publication?
- yes
- id
- a855c387-9a5b-47ee-a8bb-2d45e0cb6eb9
- date added to LUP
- 2023-02-13 11:48:20
- date last changed
- 2024-01-18 18:30:12
@article{a855c387-9a5b-47ee-a8bb-2d45e0cb6eb9,
abstract = {{<p>Research demonstrates that digital technologies stimulate industrial transformation by enabling new interdependencies with firms outside and across firm and industry boundaries. However, we know little about the degree of novelty and breadth of digital technologies that have the potential to transform industries. Understanding the degree of novelty (spanning from radical to incremental) and breadth (spanning from one sector to multiple sectors) of digital technologies is important for measuring their impact on industrial transformation. Through a topic modelling research approach on autonomous vehicle technology patents from firms operating in Sweden and a confirmatory survey with the inventors of those patents, this paper reveals 26 digital technology topics that are transforming the automotive industry. The digital technology topics are distributed across four ideal-typical technology categories for transformation: augmenting, spanning, transforming, and disrupting. This study illustrates the value of studying digital technologies’ transformative nature using an integrating framework; it reveals that digital technologies in the automotive industry have mainly incremental characteristics but that these characteristics provide necessary preconditions for the few more radical technologies to achieve their potential in transforming the industry.</p>}},
author = {{Lopez-Vega, Henry and Moodysson, Jerker}},
issn = {{1366-2716}},
keywords = {{Artificial intelligence; D83; Digital Technologies; Emerging technologies; Industry digitalization; O14; O32; O33; R4; Topic modelling}},
language = {{eng}},
number = {{1}},
pages = {{67--102}},
publisher = {{Routledge}},
series = {{Industry and Innovation}},
title = {{Digital Transformation of the Automotive Industry : An Integrating Framework to Analyse Technological Novelty and Breadth}},
url = {{http://dx.doi.org/10.1080/13662716.2022.2151873}},
doi = {{10.1080/13662716.2022.2151873}},
volume = {{30}},
year = {{2023}},
}