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The relational embeddedness as the differentiator of the cluster supply chain collaboration – a multidimensional comparative analysis.
- Source :
-
Competitiveness Review . 2022, Vol. 32 Issue 1, p59-84. 26p. - Publication Year :
- 2022
-
Abstract
- Purpose: The purpose of this paper is to fill the research and cognitive gap by comparative analyzing of the cluster supply chain (CSC) and supply chains not belonging to the clusters to examine the relational embeddedness as the differentiator of supply chains operating in the clusters. Design/methodology/approach: The conceptual model was tested with data collected from 475 industrial companies cooperating with their partners within supply chains, including 135 CSC. To identify the livraisons between different indicators, the correspondence analysis was applied. Findings: The division of enterprises participating in this study into groups allows for the determination of relatively clear boundaries between enterprises belonging to the cluster and those that do not declare such affiliation. The obtained results confirmed that the relational embeddedness is the differentiator of the CSC collaboration. Research limitations/implications: The main limitations are referred to as the static character of the data. Practical implications: The paper contains implications for cluster facilitators, as well as for cluster policy decision makers, to better design support for cluster organizations. Originality/value: This research is a contribution to the literature on inter-organizational structures, such as clusters and supply chains, and in particular, contributes to the creation of the scientific ground of SCS theory. The research allowed to better understand the nature of collaboration taking into consideration the fact of the relational embeddedness of the companies operating within supply chains located in clusters. It proves the existence of a new type of inter-organizational form that is CSC. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SUPPLY chains
*COMPARATIVE studies
*CONCEPTUAL models
*INDUSTRIAL clusters
Subjects
Details
- Language :
- English
- ISSN :
- 10595422
- Volume :
- 32
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Competitiveness Review
- Publication Type :
- Academic Journal
- Accession number :
- 154440174
- Full Text :
- https://doi.org/10.1108/CR-11-2019-0114