Configuration Pathways for Enhancing Regional Supply Chain Resilience through Digital Intelligence Empowerment: A Study Based on Fuzzy-Set Qualitative Comparative Analysis

Abstract

In the context of a volatile global environment, digital intelligence empowerment plays a crucial role in the resilience of regional supply chains. Previous scholars have often neglected the grouping role of each element when studying the influencing factors of supply chain resilience, therefore, this paper innovatively adopts the fuzzy-set Qualitative Comparative Analysis (fsQCA) methodology based on China's provincial data in 2022 to deeply explore how digital intelligence can empower the resilience of regional supply chains. The main findings are as follows: (1) No single condition alone can ensure a high level of regional supply chain resilience; (2) There are three configurations of high supply chain resilience, namely, Digitization-Weak & Intelligence-Strong Type, Balanced Digitization & Intelligence Type and Digitization & Intelligence High-Performance Type among which intelligent basic support ability and intelligent innovation level are the core conditions of high regional supply chain resilience. (3) The low-level digitalized economic environment and the intelligent basic support capacity are the basic factors of supply chain resilience in low-level regions, which are asymmetric compared with the high-level group and therefore the smooth transition and rational allocation of various key elements need to be emphasized in their transformation to high levels. This study provides new insights for optimizing the construction of regional supply chain resilience system from the configuration perspective, which enriches the research of supply chain resilience theory, and also provides policy insights for constructing high-level supply chains around the world from the perspective of digital intelligence.