Supply Chain & Digital Twins: Mature Enough?

Günter Prockl, Yanis Bouras, Thomas Jensen

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Abstract

Supply chain management (SCM) is constantly in search of new ways to improve operations. Actors in supply chains have digitized their operations to a large extent. Theories have already suggested that the concept of digital twins (DTs) has promise as a means to improve SCM, from digitizing operations to sharing updated/real-time digital information about the objects within them. In practice, however, the implementation of DTs is typically limited to those shadowing past events; thus, DTs have not yet provided the proposed opportunities. We claim that the enabling technology for DTs may be mature and available, but the individual partners in the supply chain may not be sufficiently mature to use it. We propose a maturity model to evaluate stakeholders’ DT capability maturity. On a more theoretical level, our study leads to a more generic requestioning of whether SCM is compatible with the use of DTs.
Original languageEnglish
Title of host publicationProceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025
EditorsTung X. Bui
Place of PublicationHonolulu
PublisherHawaii International Conference on System Sciences (HICSS)
Publication date2025
Pages4129-4138
ISBN (Electronic)9780998133188
DOIs
Publication statusPublished - 2025
EventThe 58th Hawaii International Conference on System Sciences. HICSS 2025 - Hilton Waikoloa Village, Waikoloa, United States
Duration: 7 Jan 202510 Jan 2025
Conference number: 58
https://hicss.hawaii.edu/

Conference

ConferenceThe 58th Hawaii International Conference on System Sciences. HICSS 2025
Number58
LocationHilton Waikoloa Village
Country/TerritoryUnited States
CityWaikoloa
Period07/01/202510/01/2025
SponsorNational Security Agency, University of Hawaii at Manoa, Association for Information Systems, MyEducator
Internet address
SeriesProceedings of the Annual Hawaii International Conference on System Sciences
ISSN1060-3425

Keywords

  • Digital twins
  • Maturity models
  • Supply chain management
  • Socio-technical systems

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