LAPSE:2023.4953
Published Article

LAPSE:2023.4953
Research on the Path of Manufacturing Enterprises Supply Chain Integration from the Configuration Perspective
February 23, 2023
Abstract
In digital transformation and development, supply chain integration has become a key strategy to improve supply chain synergy efficiency and enhance enterprise competitiveness. Based on the survey data of 185 manufacturing enterprises in Tianjin, the fuzzy set qualitative comparative analysis (fs QCA) method is used to explore the synergistic mechanism of government policy, supply chain partnership, information sharing, risk avoidance, and intelligence degree on supply chain integration and the interaction among them. The results show that: (1) a single factor does not constitute a necessary condition for promoting supply chain integration, but the formation and development of supply chain partnership plays a universal role in promoting supply chain integration; (2) the “multiple concurrent” of five factors constitute the diversified configuration of a driving supply chain integration path, that is, the driving supply chain integration path has the characteristic of “all roads lead to the same destination”; (3) there is a “sharing” type, a “cooperative” type, and a “cooperative-sharing” type three equivalent path, whereby the formation of supply chain partnership can enhance the trust between manufacturing enterprises and suppliers and customers, increase the transaction frequency of upstream and downstream enterprises, and improve the cooperation efficiency. The utility model can effectively reduce the “long whip” problem caused by the information asymmetry, and improve the operational efficiency and stability of the whole supply chain. The purpose of this study is to inspire manufacturing enterprises in the context of digital supply chain integration to improve the collaborative efficiency of the supply chain.
In digital transformation and development, supply chain integration has become a key strategy to improve supply chain synergy efficiency and enhance enterprise competitiveness. Based on the survey data of 185 manufacturing enterprises in Tianjin, the fuzzy set qualitative comparative analysis (fs QCA) method is used to explore the synergistic mechanism of government policy, supply chain partnership, information sharing, risk avoidance, and intelligence degree on supply chain integration and the interaction among them. The results show that: (1) a single factor does not constitute a necessary condition for promoting supply chain integration, but the formation and development of supply chain partnership plays a universal role in promoting supply chain integration; (2) the “multiple concurrent” of five factors constitute the diversified configuration of a driving supply chain integration path, that is, the driving supply chain integration path has the characteristic of “all roads lead to the same destination”; (3) there is a “sharing” type, a “cooperative” type, and a “cooperative-sharing” type three equivalent path, whereby the formation of supply chain partnership can enhance the trust between manufacturing enterprises and suppliers and customers, increase the transaction frequency of upstream and downstream enterprises, and improve the cooperation efficiency. The utility model can effectively reduce the “long whip” problem caused by the information asymmetry, and improve the operational efficiency and stability of the whole supply chain. The purpose of this study is to inspire manufacturing enterprises in the context of digital supply chain integration to improve the collaborative efficiency of the supply chain.
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Keywords
collaborative efficiency, integration path, manufacturing enterprise, qualitative comparative analysis of fuzzy sets, supply chain integration
Subject
Suggested Citation
Yang H, Wang Y. Research on the Path of Manufacturing Enterprises Supply Chain Integration from the Configuration Perspective. (2023). LAPSE:2023.4953
Author Affiliations
Yang H: School of Management, Tianjin University of Technology, Tianjin 300384, China
Wang Y: School of Management, Tianjin University of Technology, Tianjin 300384, China
Wang Y: School of Management, Tianjin University of Technology, Tianjin 300384, China
Journal Name
Processes
Volume
9
Issue
10
First Page
1746
Year
2021
Publication Date
2021-09-29
ISSN
2227-9717
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Original Submission
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PII: pr9101746, Publication Type: Journal Article
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LAPSE:2023.4953
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https://doi.org/10.3390/pr9101746
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Feb 23, 2023
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