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Sourcing from China: Approaches and outcomes for Swedish firms
Jönköping University.
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. Jönköping University.ORCID iD: 0000-0002-8305-4412
2022 (English)In: Operations and Supply Chain Management, ISSN 1979-3561, Vol. 15, no 2, p. 267-279Article in journal (Refereed) Published
Abstract [en]

The large and persistent trend of firms sourcing from China is in itself well-established with many success stories. However, managing the sourcing is a complex issue confounded both by cultural differences and the length of the supply chain. The purpose of this paper is to analyze the sourcing approaches of Swedish companies in China and the resultant outcomes. This study is based on a set of cases of Swedish manufacturing and retailer firms. The firms represent different industries and sizes of the company but all have substantial experience sourcing from China. The paper finds that the firms have developed good monitoring systems for their sourcing work and are generally satisfied with the outcomes, but also have persistent communication issues. Two archetypes of firms successfully sourcing from China emerge from the research. The study shows the importance of investing long-term in sourcing operations, especially with regard to developing market understanding and supplier relationships. This must however be matched by appropriate supplier monitoring systems. The research addresses a gap where sourcing configurations and their outcomes beyond general assessments of whether they are successful or not are little explored in the literature.

Place, publisher, year, edition, pages
OSCM , 2022. Vol. 15, no 2, p. 267-279
Keywords [en]
China; sourcing; sourcing outcomes; supply chain governance; Sweden
National Category
Economics and Business Other Mechanical Engineering
Research subject
Intelligent Industry
Identifiers
URN: urn:nbn:se:hig:diva-37920DOI: 10.31387/oscm0490346ISI: 000846447400001Scopus ID: 2-s2.0-85129490018OAI: oai:DiVA.org:hig-37920DiVA, id: diva2:1636480
Available from: 2022-02-09 Created: 2022-02-09 Last updated: 2022-09-15Bibliographically approved

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Hilletofth, Per

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CiteExportLink to record
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Citation style
  • apa
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Language
  • sv-SE
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  • Other locale
More languages
Output format
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