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Academic Journal of Business & Management, 2026, 8(5); doi: 10.25236/AJBM.2026.080508.

Research on the Digital Collaborative Mechanism of New Energy Vehicle Supply Chain Enabled by Digital Intelligence Technology and Driven by Chain Leader Orders: An Empirical Study Based on Zhangjiagang Industry

Author(s)

Mo Li

Corresponding Author:
Mo Li
Affiliation(s)

Shazhou Professional Institute of Technology, Suzhou, China

Abstract

The digital collaboration of the new energy vehicle supply chain is the key path to enhance industrial resilience. Taking Zhangjiagang industrial cluster as the empirical object, based on the platform supply chain and dynamic capability theory, this paper analyses the practical dilemma of supply chain collaboration driven by the lead order of the chain, and constructs a collaborative mechanism model enabled by digital intelligence technology. The results show that the chain leader enterprises play a role of bridge and empowerment through order traction and quality standards, but the core obstacles are data fracture, limited scope of cooperation and solidification of the whole zero relationship. Digital intelligence technology realizes collaborative empowerment from three dimensions: data penetration, intelligent decision-making and ecological embedding. The three-dimensional collaborative model of " chain leading-technical support-mechanism guarantee " is constructed, which provides the core idea, architecture design and implementation path of the system for digital collaboration of supply chain. The research can provide theoretical reference and practical enlightenment for the digital transformation of supply chain in Zhangjiagang and similar industrial clusters.

Keywords

Digital intelligence technology; Chain leader enterprise; Supply chain collaboration; New energy vehicles; Zhangjiagang

Cite This Paper

Mo Li. Research on the Digital Collaborative Mechanism of New Energy Vehicle Supply Chain Enabled by Digital Intelligence Technology and Driven by Chain Leader Orders: An Empirical Study Based on Zhangjiagang Industry. Academic Journal of Business & Management (2026), Vol. 8, Issue 5: 55-62. https://doi.org/10.25236/AJBM.2026.080508.

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