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Driving material civilization success:Unleashing supply chain enterprise collaborative research and development using AI

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  • Yang, Lin
  • Xie, Xianjun

Abstract

Using data from Shanghai and Shenzhen A-share listed companies between 2010 and 2024, this research examines how artificial intelligence (AI) affects collaborative research and development (R&D) in supply chain enterprises. Results indicate that AI substantially enhances collaborative R&D in these enterprises. Machine learning and deep learning technologies have a stronger impact on R&D. AI enhances supply chain enterprise collaborative R&D by improving knowledge sharing, enabling informed decisions, increasing collaboration efficiency, and optimizing resource use. Its impact is strongest in high-productivity, technology-driven industries but less evident in sectors with lower productivity and limited technology. There is no notable promotion effect in industry-level collaborative R&D.

Suggested Citation

  • Yang, Lin & Xie, Xianjun, 2026. "Driving material civilization success:Unleashing supply chain enterprise collaborative research and development using AI," Finance Research Letters, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:finlet:v:90:y:2026:i:c:s1544612325026674
    DOI: 10.1016/j.frl.2025.109418
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    References listed on IDEAS

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    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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