Supply Chain Digital Integration and Operational Resilience: An Empirical Study Based on Matched Data Between Manufacturing and Logistics Firms in Central and Eastern Europe

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Authors: H. Wang
Cited by: 3
References: 28

Abstract

Based on the resource-based view and dynamic capability theory, this study constructs a chain-mediated model to examine the impact of supply chain digital integration on the operational resilience of manufacturing enterprises. Through empirical analysis of 480 pairs of manufacturing enterprises and logistics service providers in seven Central and Eastern European countries, the study finds that: First, supply chain digital integration significantly improves enterprise operational resilience (β = 0.356-0.381, p < 0.01). Second, digital integration indirectly enhances operational resilience through two pathways: operational synergy (indirect effect = 0.197, 95% CI [0.152, 0.254]) and knowledge synergy (indirect effect = 0.170, 95% CI [0.128, 0.226]), with mediating effects accounting for 34.1% and 26.4% of the total effect, respectively. Furthermore, relationship stability (interaction term β = 0.129, p < 0.01) and technological capability matching (interaction term β = 0.144, p < 0.01) both significantly enhanced the role of digital integration in promoting resilience. Heterogeneity analysis further indicated that this effect was more pronounced in regions with weaker institutional environments, SMEs, and highly complex manufacturing industries. This study expands the theoretical framework of supply chain digitalization and resilience from a bilateral collaborative perspective and provides empirical evidence for manufacturing enterprises in Central and Eastern Europe to build systemic resilience through digital integration.

Fields of Study & Subjects

Supply Chain Resilience and Risk Management Regional resilience and development Quality and Supply Management

Publication details

Journal / source
International Scientific Technical and Economic Research
Publisher
Sichuan Knowledgeable Intelligent Sciences
Volume
4
Issue
1
Pages
23–46
Publication date
15 January 2026