Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Digital Transformation of the Automotive Industry: An Integrating Framework to Analyse Technological Novelty and Breadth
Surrey Business School, University of Surrey, Guildford, UK; Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden.ORCID-id: 0000-0002-7986-5423
Jönköping University, Internationella Handelshögskolan. Centre for Innovation Research (CIRCLE), Lund University, Lund, Sweden.ORCID-id: 0000-0002-8861-8731
2023 (Engelska)Ingår i: Industry and Innovation, ISSN 1366-2716, E-ISSN 1469-8390, Vol. 30, nr 1, s. 67-102Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
Taylor & Francis, 2023. Vol. 30, nr 1, s. 67-102
Nyckelord [en]
Artificial intelligence, D83, Digital Technologies, Emerging technologies, Industry digitalization, O14, O32, O33, R4, Topic modelling
Nationell ämneskategori
Företagsekonomi
Identifikatorer
URN: urn:nbn:se:hj:diva-59340DOI: 10.1080/13662716.2022.2151873ISI: 000906320200001Scopus ID: 2-s2.0-85145475061Lokalt ID: HOA;intsam;852233OAI: oai:DiVA.org:hj-59340DiVA, id: diva2:1724866
Forskningsfinansiär
Marianne och Marcus Wallenbergs Stiftelse, 2016.0014Tillgänglig från: 2023-01-09 Skapad: 2023-01-09 Senast uppdaterad: 2023-01-19Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Lopez-Vega, HenryMoodysson, Jerker

Sök vidare i DiVA

Av författaren/redaktören
Lopez-Vega, HenryMoodysson, Jerker
Av organisationen
Internationella Handelshögskolan
I samma tidskrift
Industry and Innovation
Företagsekonomi

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 132 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf