The Impact of Artificial Intelligence on Supply Chain Resilience: An Empirical Study

Zhiwei Xu

doi:10.62051/qxg0k209

Authors

Zhiwei Xu

DOI:

https://doi.org/10.62051/qxg0k209

Keywords:

Artificial Intelligence; Supply Chain Resilience; R&D Innovation; Resource Allocation Efficiency; Financing Speed.

Abstract

The rapid development and widespread application of artificial intelligence (AI) across various industries have garnered significant attention. This paper investigates the impact of AI on supply chain resilience using data from A - share listed companies in China from 2012 to 2022. The findings indicate that AI has a significant positive impact on supply chain resilience, which remains robust after multiple robustness tests and endogeneity treatments. Heterogeneous analysis shows that the enhancing effect of AI on supply chain resilience is more pronounced in state - owned enterprises, enterprises audited by the Big Four, and enterprises in the eastern region. Mechanism analysis reveals that AI enhances supply chain resilience by promoting R&D innovation, optimizing resource allocation efficiency, and improving financing speed. These results suggest that AI application can effectively enhance the risk - resistance and recovery capabilities of supply chains, with significant implications for promoting enterprise digital transformation and improving supply chain management levels.

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References

[1] Guo Shidi. Application of Artificial Intelligence Technology in Mechanical Design and Manufacturing [J]. Mass Standardization, 2025, (04): 175 - 177.

[2] Shu Yan, A Hongbo. Research on the Application Path of Artificial Intelligence Technology in Papermaking Enterprise Management [J]. Paper Science and Technology, 2025, 44 (02): 122 - 125. DOI: 10.19696/j. issn1671 - 4571.2025.02.025.

[3] Dong Bangjun, Zhang Yingguo. Dilemmas and Solutions of Artificial Intelligence Technology in Interrogation [J/OL]. Journal of South-Central University for Nationalities (Social Sciences Edition), 1 - 13 [2025 - 03 - 08]. https://doi.org/10.19898/j.cnki.42 - 1704/C.20250221.01.

[4] YANG Ting, ZHAO Liyuan, WANG Chengshan. Review on Application of Artificial Intelligence in Power System and Integrated Energy System [J]. Automation of Electric Power Systems, 2019, 43 (1): 2 - 14.

[5] Chen Jin, Peng Gangdong, Han Weidong, et al. Research on the Impact of Artificial Intelligence on Financing Efficiency of the Real Economy: Theoretical Mechanism and Empirical Test [J]. Journal of Central South University (Social Sciences Edition), 2024, 30 (6): 104 - 118. DOI: 10.11817/j.issn.1672 - 3104.2024.06.009.

[6] Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15 (2), 1 - 13.

[7] Ponomarov S Y, Holcomb M C. Understanding the Concept of Supply Chain Resilience [J]. The International Journal of Logistics Management, 2009, 20 (1): 124 - 143.

[8] Hohenstein N O, Feise E, Hartmann E, et al. Research on the Phenomenon of Supply Chain Resilience: A Systematic Review and Paths for Further Investigation [J]. International Journal of Physical Distribution & Logistics Management, 2015, 45 (1/2): 90 - 117.

[9] Pires Ribeiro, J. O., & Barbosa-Povoa, A. (2018). Supply Chain Resilience: Definitions and Quantitative Modelling Approaches – A Literature Review. Computers & Industrial Engineering, 115, 109 – 122.

[10] Zhang Shushan, Gu Cheng. Supply Chain Digitization and Supply Chain Resilience [J]. Journal of Finance and Economics, 2024, 50 (7): 21 - 34.

[11] Fu Yuqi. Research on the Impact of Standardization Capability on Supply Chain Resilience [D]. Hangzhou Dianzi University of Technology, 2024.

[12] Liu Tingli, Yun Shiji. Research on the Impact of Sovietization on Supply Chain Resilience from the Perspective of Mitigating the Bullwhip Effect [J]. Business Research, 2025, (01): 112 - 121.

[13] Zhang Can, Yuan Zhenlong, Li Jixia. New Productivity Empowers the Resilience of Industrial and Supply Chains: Mechanism, Dilemmas, and Path [J]. Chongqing University of Technology (Social Sciences), 2024, 38 (11): 43 - 56.

[14] Du Xiaorui. Research on the Impact of Emerging IT Integration on Supply Chain Resilience and Sustainability Performance [D]. Xi’an University of Electronic Science and Technology, 2023.

[15] Dattathrani, S., and De, R. (2023). The Concept of Agency in the Era of Artificial Intelligence: Dimensions and Degrees. Inf. Syst. Front., 25, 29 – 54.

[16] Asif, M., and Gouqing, Z. (2024). Innovative Application of Artificial Intelligence in a Multi-Dimensional Communication Research Analysis: A Critical Review. Discov. Artif. Intell., 4, 1 – 30.

[17] Song Jing. Artificial Intelligence Has Become the Focus of Innovation in the Software Industry [N]. China Electronic News, 2024 - 11 - 08 (006). DOI: 10.28065/n.cnki.ncdzbb.2024.001586.

[18] Wu Fei. "Artificial Intelligence +": A General-Purpose Technology for Better Empowering Productivity [J]. People’s Tribune, 2025, (02): 31 - 34.

[19] Farrelly, T., & Baker, N. (2023). Generative Artificial Intelligence: Implications and Considerations for Higher Education Practice. Educational Sciences, 13 (10), 1109.

[20] Zhao Mingchao. AI Empowers Industry Development and Promotes Digital Financial Construction [N]. Shanghai Securities News, 2025 - 03 - 13 (004).

[21] Chen, J., Zhuo, Z., & Lin, J. (2023). Does ChatGPT Play a Double-Edged Sword Role in the Field of Higher Education? An In-Depth Exploration of the Factors Affecting Student Performance. Sustainability, 15 (24), 16928.

[22] Wang Quan. The Decision-Support Role of Artificial Intelligence in the Optimization of Medical Resource Allocation and Hospital Operations Management [J]. Digital Communication World, 2024, (12): 141 - 143.

[23] Song Hua. (2024). Theoretical Exploration and Outlook on Intelligent Supply Chain Driven by Artificial Intelligence. China Circulation Economy, 38 (1), 44 - 54.

[24] Yu Jiang, Nie Jiayu, Li Wanqing, et al. Dual-Track Innovation in Technology and Demand Empowered by AI Large Models—Mechanism and Practice [J]. Technology Economics, 2024, 43 (12): 10 - 22.

[25] Wang Yanyan. Enterprise Digital Transformation and Supply Chain Resilience Enhancement [D]. Zhongnan University of Economics and Law of Finance, 2023. DOI: 10.27660/d.cnki.gzczu.2023.000952.

[26] Zhang Peini. The Importance of Fund Management in Enhancing Supply Chain Resilience [J]. China Business, 2024, (12): 18 - 19.

[27] Miao Zuoqi, Chen Donghua. Research on the Impact of Supply Chain Social Capital on Supply Chain Resilience [J]. China Business Review, 2024, 33 (18): 19 - 22.

[28] Li Dakun. Research on the Path of Enhancing Supply Chain Resilience of Manufacturing Enterprises in the Digital Age [D]. Shandong University, 2023.

[29] Zhao Chenyu, Wang Wenchun, Li Xuesong. How Does Digital Transformation Affect Total Factor Productivity? [J]. Finance and Trade Economy, 2021, 42 (07): 114 - 129. DOI: 10.19795/j.cnki.cn11-1166/f.20210705.001.

[30] Guo Yingjiang. "Competitive Neutrality" Principle and the Financing Differences between State-Owned and Private Enterprises [J]. Financial Markets Research, 2021, (04): 69 - 75. DOI: 10.20134/j.cnki.fmr.2021.04.007.

[31] Shu Changjiang, Hong Pan, Zhang Liangcheng. The Impact of Heterogeneous Financing Constraints on Corporate Leverage [J]. Jiangxi Social Sciences, 2020, 40 (01): 107 - 119.

[32] Zhang Wei. Research on Internal Audit Strategies for Enterprise Financial Risk Prevention [J]. Modern Marketing (Upper), 2025, (03): 67 - 69. DOI: 10.19921/j.cnki.1009-2994.2025 - 03 - 0067 - 023.

[33] Wang Wensheng. The Role and Optimization Strategy of Government Audit in Public Resource Allocation [J]. Today’s Fortune, 2024, (33): 92 - 94.

[34] Yang Lv, Peng Chunrui. Regional Differences and Dynamic Evolution of Neo-Productivity in Chinese City Clusters [J]. Industrial Technology Economy, 2025, 44 (03): 34 - 44.

[35] Cheng Fengyu. The Uneven Development of Regional Technological Innovation in China—Empirical Research Based on Provincial Universities [J]. Technology Economy and Management Research, 2024, (08): 146 - 152.

[36] Tang Longji, Pan Yonggang. Digital Supply Chain: Transformation and Value Re-creation Practice [M]. People’s Posts and Telecommunications Press, 2021.

[37] Miguel Cossio, Kevin Lawrence. The Future of Supply Chain Risk Management [J]. Supply Chain Management Review, 2024, 28 (4): 32 - 38.

[38] Ni Tingting, Wang Yue. Regional Administrative Integration, Factor Marketization, and Enterprise Resource Allocation Efficiency [J]. Quantitative Economics and Technical Economics Research, 2022, 39 (11): 136 - 156. DOI: 10.13653/j.cnki.jqte.2022.11.007.

[39] Chen Jin, Peng Gangdong, Han Weidong, et al. Research on the Impact of Artificial Intelligence on Financing Efficiency of the Real Economy: Theoretical Mechanism and Empirical Test [J]. Journal of Central South University (Social Sciences Edition), 2024, 30 (6): 104 - 118. DOI: 10.11817/j.issn.1672 - 3104.2024.06.009.

[40] Li Zhonghao. Executive Compensation, Duality, and Investment Efficiency [D]. Beijing University of Chemical Technology, 2023. DOI: 10.26939/d.cnki.gbhgu.2023.001392.