- Junchao Yang, Wenxin Xu
- DOI: 10.5281/zenodo.21946656
- GAS Journal of Economics and Business Management (GASJEBM)
In
the VUCA environment, the development logic of supply chains has shifted from
“efficiency-driven” to “resilience-driven”. Artificial
intelligence as a new generation of general-purpose technology is deeply
embedded in supply chains. However, existing research lacks systematic
integration. Based on 24 articles in the past two years, covering data from
A-share listed companies, provincial panel data, and case studies, this paper
adopts the methods of literature review and theoretical integration to
construct a systematic analysis framework. The research finds that the impact
of AI on supply chains is concentrated in four core dimensions:
multi-dimensional enhancement of supply chain resilience, systematic
reconstruction of supply chain structure, comprehensive optimization of
operational efficiency, and precise prevention and control of various risks. It
exerts its influence through three mechanisms: technological empowerment,
organizational collaboration, and network spillover. Moreover, the empowerment
effect shows significant heterogeneity influenced by enterprise, industry,
regional, and environmental characteristics. At the same time, it faces
challenges such as data and technology constraints, ethical governance
dilemmas, and the absence of institutional standards.
Keywords: artificial
intelligence; supply chain resilience; mechanism of action; hete-rogeneous
characteristics; digital and intelligent supply chain.
