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Enhanced supply chain resilience under geopolitical risks: The role of artificial intelligence

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  • Dong, Feng
  • Zhao, Xu
  • Mangla, Sachin Kumar
  • Song, Malin

Abstract

This paper examines the impact of artificial intelligence (AI) on supply chain resilience (SCR) under geopolitical risks (GPR) through a tractable research framework and empirical analysis. We first develop a general equilibrium model with stochastic supply chain shocks to specify the underlying economic mechanism. The results show that the existence of geopolitical factors will increase the risk cost of firms maintaining supply chain relations, thus weakening SCR. However, the significant cost reductions, efficiency gains, and improvement of contractual completeness resulting from AI greatly empower firms to increase profits, thereby mitigating the disruption of uncertain risks to the supply chain, which leads to enhanced SCR. AI could mitigate the negative effects of GPR to a certain extent, but this depends on the relative magnitude of the positive and negative incentive effects of AI. We then perform two-way fixed effects estimations using data on Chinese listed firms. The empirical results validate our main theoretical analysis and confirm the role of firm profit as a bridge between AI and SCR, along with its attendant premise. Our further exploration confirms the moderating effect of AI in high-tech and high-competition industries, which may be attributed to the predominance of positive incentive effects of AI. Finally, our analysis results call for firms to strike a balance between the breadth and depth of AI applications, thus comprehensively strengthening the ability of the supply chain to cope with uncertainty.

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  • Dong, Feng & Zhao, Xu & Mangla, Sachin Kumar & Song, Malin, 2025. "Enhanced supply chain resilience under geopolitical risks: The role of artificial intelligence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:transe:v:202:y:2025:i:c:s1366554525003412
    DOI: 10.1016/j.tre.2025.104300
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    1. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    3. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    4. Sascha O. Becker & Ludger Woessmann, 2009. "Was Weber Wrong? A Human Capital Theory of Protestant Economic History," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 531-596.
    5. Li, Junqing & Miao, Ersen & Zhang, Jianbo, 2021. "The legal environment, specialized investments, incomplete contracts, and labor productivity," China Economic Review, Elsevier, vol. 66(C).
    6. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    7. Crespí-Cladera, Rafel & Pascual-Fuster, Bartolomé, 2014. "Does the independence of independent directors matter?," Journal of Corporate Finance, Elsevier, vol. 28(C), pages 116-134.
    8. Pringpong, Sasin & Maneenop, Sakkakom & Jaroenjitrkam, Anutchanat, 2023. "Geopolitical risk and firm value: Evidence from emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    9. Chishti, Muhammad Zubair & Sinha, Avik & Zaman, Umer & Shahzad, Umer, 2023. "Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk," Energy Economics, Elsevier, vol. 119(C).
    10. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril & Papadopoulos, Thanos, 2023. "Dynamic digital capabilities and supply chain resilience: The role of government effectiveness," International Journal of Production Economics, Elsevier, vol. 258(C).
    11. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar, 2018. "How Do Firms Form Their Expectations? New Survey Evidence," American Economic Review, American Economic Association, vol. 108(9), pages 2671-2713, September.
    12. Ersahin, Nuri & Giannetti, Mariassunta & Huang, Ruidi, 2024. "Trade credit and the stability of supply chains," Journal of Financial Economics, Elsevier, vol. 155(C).
    13. Hart, Oliver & Moore, John, 1990. "Property Rights and the Nature of the Firm," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1119-1158, December.
    14. Niu, Xiaotong & Lin, Changao & He, Shanshan & Yang, Youcai, 2025. "Artificial intelligence and enterprise pollution emissions: From the perspective of energy transition," Energy Economics, Elsevier, vol. 144(C).
    15. Hu, Miao & Jiang, Shenyang & Song, Dian & Han, Qianqian, 2024. "The influence of short-term managerial myopia on supply chain concentration: The moderating role of long-term incentives for the supervisory board," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    16. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    17. Nathan Nunn, 2007. "Relationship-Specificity, Incomplete Contracts, and the Pattern of Trade," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(2), pages 569-600.
    18. Lin William Cong & Zhiguo He, 2019. "Blockchain Disruption and Smart Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1754-1797.
    19. Poterba, James M., 1995. "Balanced Budget Rules and Fiscal Policy: Evidence From the States," National Tax Journal, National Tax Association;National Tax Journal, vol. 48(3), pages 329-336, September.
    20. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    21. Nickell, Stephen J, 1996. "Competition and Corporate Performance," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 724-746, August.
    22. Wang, Yongqin & Liu, Fuxing, 2025. "Impact of artificial intelligence innovation on food company performance," International Review of Financial Analysis, Elsevier, vol. 103(C).
    23. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
    24. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    25. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    26. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    27. Brusset, Xavier & Teller, Christoph, 2017. "Supply chain capabilities, risks, and resilience," International Journal of Production Economics, Elsevier, vol. 184(C), pages 59-68.
    28. Qi, Ruijuan & Ma, Guowei & Liu, Chang & Zhang, Qiwen & Wang, Qianyi, 2024. "Enterprise digital transformation and supply chain resilience," Finance Research Letters, Elsevier, vol. 66(C).
    29. Wang, Daoping & Li, Kangle & Shen, Xinyan, 2025. "Fear of war: Geopolitical risks and the potential impact on local government bonds, stock market and FDI in China," Economics Letters, Elsevier, vol. 251(C).
    30. Yao, Nengzhi(Chris) & Bai, Junhong & Yu, Zihao & Guo, Qiaozhe, 2025. "Does AI orientation facilitate operational efficiency? A contingent strategic orientation perspective," Journal of Business Research, Elsevier, vol. 186(C).
    31. Hongying Zhang & Chengxuan Geng & Dongqin Cao & Jiahui Wei, 2024. "Can high-tech industrial convergence promote green innovation efficiency? Evidence from 30 Chinese provinces," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23579-23611, September.
    32. Rik Pieters, 2017. "Meaningful Mediation Analysis: Plausible Causal Inference and Informative Communication," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(3), pages 692-716.
    33. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    34. Tse, Ying Kei & Dong, Kyra & Sun, Ruiqing & Mason, Robert, 2024. "Recovering from geopolitical risk: An event study of Huawei's semiconductor supply chain," International Journal of Production Economics, Elsevier, vol. 275(C).
    35. Gene M. Grossman & Elhanan Helpman & Hugo Lhuillier, 2023. "Supply Chain Resilience: Should Policy Promote International Diversification or Reshoring?," Journal of Political Economy, University of Chicago Press, vol. 131(12), pages 3462-3496.
    36. Sullivan, Yulia & Fosso Wamba, Samuel, 2024. "Artificial intelligence and adaptive response to market changes: A strategy to enhance firm performance and innovation," Journal of Business Research, Elsevier, vol. 174(C).
    37. Zhai, Shaoxuan & Liu, Zhenpeng, 2023. "Artificial intelligence technology innovation and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    38. Jin, Yi & Zhao, Hang & Bu, Lin & Zhang, Dayong, 2023. "Geopolitical risk, climate risk and energy markets: A dynamic spillover analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
    39. David H. Romer & Jeffrey A. Frankel, 1999. "Does Trade Cause Growth?," American Economic Review, American Economic Association, vol. 89(3), pages 379-399, June.
    40. Wang, Zongrun & Zhang, Taiyu & Ren, Xiaohang & Shi, Yukun, 2024. "AI adoption rate and corporate green innovation efficiency: Evidence from Chinese energy companies," Energy Economics, Elsevier, vol. 132(C).
    41. Yu, Wantao & Jacobs, Mark A. & Chavez, Roberto & Yang, Jiehui, 2019. "Dynamism, disruption orientation, and resilience in the supply chain and the impacts on financial performance: A dynamic capabilities perspective," International Journal of Production Economics, Elsevier, vol. 218(C), pages 352-362.
    42. Ozdemir, Dilek & Sharma, Mahak & Dhir, Amandeep & Daim, Tugrul, 2022. "Supply chain resilience during the COVID-19 pandemic," Technology in Society, Elsevier, vol. 68(C).
    43. Daron Acemoglu & Pol Antràs & Elhanan Helpman, 2007. "Contracts and Technology Adoption," American Economic Review, American Economic Association, vol. 97(3), pages 916-943, June.
    44. Timothy G. Conley & Christian B. Hansen & Peter E. Rossi, 2012. "Plausibly Exogenous," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 260-272, February.
    45. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    46. Shi, Hongyu & Liu, Yu & Yang, Yaru, 2024. "Enterprise digital transformation and supply chain stability," Finance Research Letters, Elsevier, vol. 63(C).
    47. Roy, Tonoy & Bhuiyan, Rubaiyat Ahsan & Ahmed, Sarwar Uddin & Abdullah, Mohammad, 2024. "Geopolitical conflict and firm bankruptcy risk," Finance Research Letters, Elsevier, vol. 68(C).
    48. Sanghamitra Das & Mark J. Roberts & James R. Tybout, 2007. "Market Entry Costs, Producer Heterogeneity, and Export Dynamics," Econometrica, Econometric Society, vol. 75(3), pages 837-873, May.
    49. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    50. Pan, Xiongfeng & Pan, Xianyou & Song, Malin & Ai, Bowei & Ming, Yang, 2020. "Blockchain technology and enterprise operational capabilities: An empirical test," International Journal of Information Management, Elsevier, vol. 52(C).
    51. Bughin, Jacques, 2024. "What drives the corporate payoffs of using generative artificial intelligence?," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 658-668.
    52. Li, Zongru & Zhang, Xiaohan & Tao, Zhe & Wang, Binbin, 2024. "Enterprise digital transformation and supply chain management," Finance Research Letters, Elsevier, vol. 60(C).
    53. Sadaat Ali Yawar & Stefan Seuring, 2017. "Management of Social Issues in Supply Chains: A Literature Review Exploring Social Issues, Actions and Performance Outcomes," Journal of Business Ethics, Springer, vol. 141(3), pages 621-643, March.
    54. Burns, Natasha & Minnick, Kristina & Smith, Aimee Hoffmann, 2021. "The role of directors with related supply chain industry experience in corporate acquisition decisions," Journal of Corporate Finance, Elsevier, vol. 67(C).
    55. Mohammad Jizi & Aly Salama & Robert Dixon & Rebecca Stratling, 2014. "Corporate Governance and Corporate Social Responsibility Disclosure: Evidence from the US Banking Sector," Journal of Business Ethics, Springer, vol. 125(4), pages 601-615, December.
    56. Anne E. Dohmen & Jason R. W. Merrick & Lance W. Saunders & Theodore P. Stank & Thomas J. Goldsby, 2023. "When preemptive risk mitigation is insufficient: The effectiveness of continuity and resilience techniques during COVID‐19," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1529-1549, May.
    57. Lin, Zi-Luo & Ouyang, Wen-Pei & Yu, Qing-Rui, 2024. "Risk spillover effects of the Israel–Hamas War on global financial and commodity markets: A time–frequency and network analysis," Finance Research Letters, Elsevier, vol. 66(C).
    58. Qader, Ghulam & Junaid, Muhammad & Abbas, Qamar & Mubarik, Muhammad Shujaat, 2022. "Industry 4.0 enables supply chain resilience and supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    59. Liu, Fang & Xie, Linling & Liu, Wei, 2025. "Impact of Fintech on supply chain resilience," International Review of Financial Analysis, Elsevier, vol. 103(C).
    60. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    61. Joao Guerreiro & Sergio Rebelo & Pedro Teles, 2022. "Should Robots Be Taxed?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 279-311.
    62. Paul, Sanjoy Kumar & Chowdhury, Priyabrata & Moktadir, Md. Abdul & Lau, Kwok Hung, 2021. "Supply chain recovery challenges in the wake of COVID-19 pandemic," Journal of Business Research, Elsevier, vol. 136(C), pages 316-329.
    63. Marta Negri & Enrico Cagno & Claudia Colicchia & Joseph Sarkis, 2021. "Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2858-2886, November.
    64. Zhao, Zuoxiang & Gozgor, Giray & Lau, Marco Chi Keung & Mahalik, Mantu Kumar & Patel, Gupteswar & Khalfaoui, Rabeh, 2023. "The impact of geopolitical risks on renewable energy demand in OECD countries," Energy Economics, Elsevier, vol. 122(C).
    65. Jiang, Mengting & Fang, Jian & Yang, Yuecheng & Yu, Chengzhi & Li, Jieyi, 2024. "Supply chain concentration, industry concentration and enterprise innovation performance," Finance Research Letters, Elsevier, vol. 63(C).
    66. Lee, Chi-Chuan & Lee, Chien-Chiang & Xiao, Shunyi, 2021. "Policy-related risk and corporate financing behavior: Evidence from China’s listed companies," Economic Modelling, Elsevier, vol. 94(C), pages 539-547.
    67. Zhou, Wei-Xing & Dai, Yun-Shi & Duong, Kiet Tuan & Dai, Peng-Fei, 2024. "The impact of the Russia-Ukraine conflict on the extreme risk spillovers between agricultural futures and spots," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 91-111.
    68. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    69. Tao, Weiliang & Weng, Shimei & Chen, Xueli & ALHussan, Fawaz Baddar & Song, Malin, 2024. "Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China," Energy Economics, Elsevier, vol. 136(C).
    70. Banerjee, Ameet Kumar, 2024. "Second-order moment risk connectedness across climate and geopolitical risk and global commodity markets," Economics Letters, Elsevier, vol. 235(C).
    71. Qin, Meng & Su, Chi-Wei & Umar, Muhammad & Lobonţ, Oana-Ramona & Manta, Alina Georgiana, 2023. "Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 748-763.
    72. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    73. Coad, Alex & Segarra, Agustí & Teruel, Mercedes, 2016. "Innovation and firm growth: Does firm age play a role?," Research Policy, Elsevier, vol. 45(2), pages 387-400.
    74. Poterba, James M., 1995. "Balanced Budget Rules and Fiscal Policy: Evidence From the States," National Tax Journal, National Tax Association, vol. 48(3), pages 329-36, September.
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