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Challenges of Data-driven Service Development in Manufacturing Industries – a Review
Högskolan i Halmstad. Linköping University, Linköping, Sweden.
Högskolan i Halmstad, Akademin för företagande, innovation och hållbarhet.ORCID-id: 0000-0002-0560-7392
Högskolan i Halmstad, Akademin för företagande, innovation och hållbarhet.ORCID-id: 0000-0002-5849-1442
2022 (engelsk)Inngår i: Sustainable Business Model Challenges : Economic Recovery and Digital Transformation: 7th International Conference on New Business Models / [ed] Laura Michelini; Anna Minà; ‪Pierfrancesco Alaimo Di Loro, Roma: LUMSA University , 2022, s. 419-428Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This literature review aims to identify the existing challenges of data-driven service development in manufacturing industries, and a general approach to manage the challenges. The three primary categories are technological, ecosystem- and business model-related. Those are identified and categorized through the lens of data-driven service taxonomy framework. Digital twin was identified as one overarching approach with the potential to solve some of the identified challenges. Future research can focus on exploring the different level of importance of the existing challenges.

sted, utgiver, år, opplag, sider
Roma: LUMSA University , 2022. s. 419-428
Emneord [en]
Data-driven service, Manufacturing, Challenge, Business model, Ecosystem, Digital twin
HSV kategori
Forskningsprogram
Smarta städer och samhällen
Identifikatorer
URN: urn:nbn:se:hh:diva-47376ISBN: 979-12-210-1188-3 (tryckt)OAI: oai:DiVA.org:hh-47376DiVA, id: diva2:1676277
Konferanse
7th International Conference on New Business Models: Sustainable Business Model Challenges: Economic Recovery and Digital Transformation, Rome, Italy, 23-24 June, 2022
Prosjekter
OSMaaS
Forskningsfinansiär
Knowledge FoundationTilgjengelig fra: 2022-06-24 Laget: 2022-06-24 Sist oppdatert: 2022-10-06bibliografisk kontrollert

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Totalt: 177 treff
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