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What modelling research on supply chain collaboration informs us? Identifying key themes and future directions through a literature review
University of Borås, Faculty of Textiles, Engineering and Business. (Textile Value Chain Management)ORCID iD: 0000-0003-3527-7061
University of Borås, Faculty of Textiles, Engineering and Business. (Textile Value Chain Management)ORCID iD: 0000-0003-2015-6275
University of Borås, Faculty of Textiles, Engineering and Business.ORCID iD: 0000-0001-9007-4932
2018 (English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588XArticle in journal (Refereed) Published
Sustainable development
According to the author(s), the content of this publication falls within the area of sustainable development.
Abstract [en]

Although research regarding supply chain collaboration has been increasing, studies reviewing supply chain collaboration remains limited. This review paper categorises supply chain collaboration and identifies different themes in this research field. Articles were collected based on a designed keywords list and specific subject restrictions in citation databases. Text-mining technology and conceptual criteria were used to categorise and screen articles into different categories. Finally, cluster analysis was used to group articles and identify emerging themes. From the year 1999 to 2017, a total of 678 articles regarding supply chain collaboration were found. These were sorted into six categories: levels of collaboration, industries, supply chain stages, company scales, forms/methods of collaboration and typology of article, and into corresponding sub-categories. 380 articles employing modelling approach where collaboration forms the core of analysis were screened for hierarchical cluster analysis, resulting in four clusters: information sharing paradigm, joint decision-making paradigm, resource sharing paradigm and coordinating contract paradigm. Eleven themes were finally identified based on the four clusters. The number of articles in the field of supply chain collaboration shows an increasing trend by year. However, most of the collaborations discussed were still at a low level. It is expected to explore a higher level of collaborations and related themes in future research.

Place, publisher, year, edition, pages
2018.
Keywords [en]
supply chain collaboration, review, cluster analysis, text-mining, modelling methodology
National Category
Economics and Business
Research subject
Business and IT; Textiles and Fashion (General)
Identifiers
URN: urn:nbn:se:hb:diva-15466DOI: 10.1080/00207543.2018.1535204OAI: oai:DiVA.org:hb-15466DiVA, id: diva2:1271065
Projects
Erasmus Mundus joint doctorate programme ‘Sustainable Management and Design for Textiles’Available from: 2018-12-15 Created: 2018-12-15 Last updated: 2019-01-09Bibliographically approved

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Ma, KePal, RudrajeetGustafsson, Eva
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