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Key factors shaping manufacturing reshoring: Current practice and future insights
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering, Industrial Management.ORCID iD: 0000-0002-9096-1790
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering, Industrial Management. University of Gävle, Center for Logistics and Innovative Production.ORCID iD: 0000-0002-8305-4412
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering, Industrial Management. University of Gävle, Center for Logistics and Innovative Production.ORCID iD: 0000-0002-0622-5791
2025 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

This research explores key factors motivating, impeding, and facilitating current and future manufacturing reshoring decisions through the lens of the Eclectic Paradigm. Based on twelve structured interviews with Swedish industrial experts and scholars, we identified key current reshoring drivers such as cost reduction, quality improvement, and shorter time to market, while skill and qualified labour shortages and competencies act as barriers. Enablers such as automation, research and development (R&D), and production flexibility support successful reshoring. Looking ahead, sustainability and evolving regulations are emerging as future influencers for reshoring. This research links drivers, barriers, and enablers to four types of advantage-seeking strategies, thus offering a comprehensive view that integrates practical guidance for managers in making informed decisions while advancing theoretical understanding of reshoring dynamics.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Reshoring
National Category
Industrial engineering and management Economics and Business
Research subject
Intelligent Industry
Identifiers
URN: urn:nbn:se:hig:diva-47462OAI: oai:DiVA.org:hig-47462DiVA, id: diva2:1972797
Conference
The 32nd International Annual EUROMA Conference, 13-18 June, Milan, Italy
Funder
Knowledge Foundation, 20220013-H-01Available from: 2025-06-18 Created: 2025-06-18 Last updated: 2025-10-02Bibliographically approved

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Li, HaihanHilletofth, PerHilmola, Olli-Pekka

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf