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.
Highlights
In today’s digital trend of information development, enterprises must keep up with the degree of unceasing enhancement, and improvement of the supply chain in the development of intelligent collaborative efficiency has become a hot spot in the industry
Through a questionnaire to collect data and 5 of information sharing, we focus on risk aversion and intellectualized degree as internal driving factors of supply chain integration, and government policy and the supply chain partnership as the external driving factors of supply chain integration, constructing the Contribution of Supply
In configuration 2A and 2B, the consistency level is 0.9926 and 0.9069, and the unique coverage is 0.0402 and 0.1209, respectively. In this path, manufacturing enterprise supply chain integration configuration solution 2A shows that whatever information sharing and risk aversion exists or not, as long as there is as a condition of a core of supply chain partnership and as a condition of the edge of intelligent degree, even if the lack of government policy, can promote the integration of the supply chain
Summary
In today’s digital trend of information development, enterprises must keep up with the degree of unceasing enhancement, and improvement of the supply chain in the development of intelligent collaborative efficiency has become a hot spot in the industry. Different scholars have carried out relevant studies on how these factors affect supply chain integration. Wang Li [9] believes that the optimization and integration of the manufacturing supply chain can provide effective help for enterprises to avoid risks, improve their profitability and speed up capital turnover. Huo Yanfang et al [10] pointed out that if manufacturing enterprises want to gain advantages in market competition, the most important thing is to grasp the current intelligent manufacturing environment and design a convenient and effective supply chain. To improve the competitiveness of the supply chain of manufacturing enterprises and the overall collaborative efficiency under the background of digitization, the optimal combination of factors conducive to supply chain integration is sought
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