Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Enabling collaboration on digital platforms: a study of digital twins
Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, Industriell ekonomi.ORCID-id: 0000-0002-8939-5509
Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, Industriell ekonomi.
Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, Industriell ekonomi.
2023 (engelsk)Inngår i: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 61, nr 12, s. 3926-3942Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Digital platforms are transforming almost every industry today and are expected to revolutionize future value creation. Digital platforms require collaboration, but this is challenging especially in the manufacturing industry where sensitive data need shared and high investments are required. Therefore, the purpose of this study is to enhance the understanding of how to successfully collaborate on digital platforms in the manufacturing industry by developing a contingency framework. The study is an explorative single case study of a digital platform. More specifically, the study examined the development process of a digital twin platform created by a large high-technological company and its collaborative actors. The results are based on 21 semi-structured interviews and reveals that actors on digital platforms can face five types of challenges that hinder a successful collaboration: disadvantages of dependency, uncertainty regarding data management, varying customer needs, insufficient work methods, and unsuitable payment models. The analysis also reveals four strategies that can be used to address the challenges: transparency strategy, incentive model strategy, servitization strategy, and control strategy. Moreover, these findings are summarized in a contingency framework that explains which types of challenges that can be addressed with which strategies based on the specific prerequisites of each collaboration.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2023. Vol. 61, nr 12, s. 3926-3942
Emneord [en]
Digital platform, digital twin, manufacturing industry, collaboration, challenges, digital servitization, digital transformation
HSV kategori
Forskningsprogram
Entreprenörskap och innovation
Identifikatorer
URN: urn:nbn:se:ltu:diva-92836DOI: 10.1080/00207543.2022.2116499ISI: 000849583800001Scopus ID: 2-s2.0-85137738874OAI: oai:DiVA.org:ltu-92836DiVA, id: diva2:1695368
Merknad

Validerad;2023;Nivå 2;2023-07-20 (sofila)

Tilgjengelig fra: 2022-09-13 Laget: 2022-09-13 Sist oppdatert: 2023-07-20bibliografisk kontrollert

Open Access i DiVA

fulltext(3449 kB)319 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 3449 kBChecksum SHA-512
60e05cb0507d962308cce01f0cd5f340277514604f640a48674370955549b2d122e8daf335a2d60cec97757efd14c5f788264d86fcdcb65ff53a723081621372
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Person

Reim, Wiebke

Søk i DiVA

Av forfatter/redaktør
Reim, WiebkeAndersson, EbbaEckerwall, Kajsa
Av organisasjonen
I samme tidsskrift
International Journal of Production Research

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 319 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 246 treff
RefereraExporteraLink to record
Permanent link

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