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The Mechanism of Traditional Manufacturing Enterprise Resource Restructuring on Supply Chain Resilience Under the Background of Digital Transformation – from the Perspective of Resource Orchestration

This version is not peer-reviewed.

Submitted:

11 March 2025

Posted:

12 March 2025

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Abstract

Based on the background of digital transformation, this paper analyzes the influence mechanism of resource orchestration on the improvement of supply chain resilience from the perspective of resource orchestration theory, proposes a theoretical mechanism model, and explores the mechanism of resource orchestration motivation-resource orchestration under digital transformation (resource construction - capability transformation - value creation: supply chain resilience). Using a single case and proceduralized grounded method, the logical relationship with causality is effectively analyzed, and the mechanism and results of resource orchestration in different scenarios for improving supply chain resilience under digital transformation are accurately shown. The results show that supply chain resource construction (redundant resources, technical resources, internal resources and external resources) and capability transformation (manufacturing capabilities, digital platform capabilities and innovation capabilities) have positive effects on supply chain resilience (active and passive resiliency). Through resource construction and capacity transformation under the background of digital transformation, traditional manufacturing enterprises can help improve productivity, solve the contradiction between mass production and customization, expand the market and supply chain system, solve the supply shortage crisis and collaborative innovation, so as to improve the supply chain resilience. It provides a reference for traditional enterprise resource orchestration and optimization of supply chain resilience.

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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

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