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Artificial intelligence applications in supply chain management

Citations

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Cited by:

  1. Wu, Bilin & Chen, Hang & Shi, Yanchao, 2025. "Influence of artificial intelligence development on supply chain diversification," Finance Research Letters, Elsevier, vol. 78(C).
  2. Li, Lixu & Zhu, Wenwen & Chen, Lujie & Liu, Yaoqi, 2024. "Generative AI usage and sustainable supply chain performance: A practice-based view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  3. Lin Wu & Zhewei Zhang & Jimmy Huang & I-Hsuan Su & Shuang Tian, 2025. "Digital Technologies and Supply Chain Resilience: A Resource-Action-Performance Perspective," Information Systems Frontiers, Springer, vol. 27(5), pages 2137-2158, October.
  4. Mélanie Roux & Soumyadeb Chowdhury & Prasanta Kumar Dey & Emilia Vann Yaroson & Vijay Pereira & Amelie Abadie, 2025. "Small and medium-sized enterprises as technology innovation intermediaries in sustainable business ecosystem: interplay between AI adoption, low carbon management and resilience," Annals of Operations Research, Springer, vol. 355(2), pages 1537-1586, December.
  5. Behl, Abhishek & Bhardwaj, Shikha & Jayawardena, Nirma & Pereira, Vijay & Roohanifar, Mohammad, 2026. "Grass is always dark(er) on the other side: Exploring the dark side of artificial intelligence humanitarian supply chain operations," Technological Forecasting and Social Change, Elsevier, vol. 224(C).
  6. Yingji Liu & Ju Guo & Fangbing Shen & Yuegang Song, 2025. "Can artificial intelligence technology improve green total factor efficiency in energy utilisation? Empirical evidence from 282 cities in China," Economic Change and Restructuring, Springer, vol. 58(2), pages 1-34, April.
  7. Bodendorf, Frank & Xie, Qiao & Merkl, Philipp & Franke, Jörg, 2022. "A multi-perspective approach to support collaborative cost management in supplier-buyer dyads," International Journal of Production Economics, Elsevier, vol. 245(C).
  8. Ni, Hsiao-Ping & Liu, Chi-Yun & Paul, Fermodelie & Chong, Wai Oswald & Chou, Jui-Sheng, 2025. "Enhancing supply chain resilience and efficiency of HVAC systems in semiconductor manufacturing facilities using graph-based large multimodal models," Applied Energy, Elsevier, vol. 398(C).
  9. Chotia, Varun & Alghafes, Rsha & Sharma, Mahak & Virmani, Naveen, 2025. "Chronocraft: unveiling enablers and overcoming barriers in Fintech-driven logistics and supply chain management in the digital era," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
  10. Wu, Min & Tsai, Nien En & Koh, Le Yi & Yuen, Kum Fai, 2025. "Maritime AI socialisation: Exploring the impact of digital enablers on human-AI collaboration and service and process innovation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
  11. Yang, Lu & Huang, Manyu & Wang, Haoyang, 2025. "Artificial intelligence and resilience of supply chain in China’s listed firms: Insights into vertical spillover effects," Finance Research Letters, Elsevier, vol. 85(PB).
  12. Yang, Yimin & Yi, Chaoqun & Li, Hailing & Dong, Xuesong & Yang, Lulu & Wang, Zilong, 2025. "An analysis on the role of artificial intelligence in green supply chains," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
  13. Liu, Yeshen & Wang, Beibei & Song, Zhe, 2025. "Promoting or inhibiting: The impact of artificial intelligence application on corporate environmental performance," International Review of Financial Analysis, Elsevier, vol. 97(C).
  14. Ning, Yu & Shi, Zexuan & Tong, Yang, 2026. "Value-based or one-time? Optimal pricing modes for generative AI services in e-commerce platforms," International Journal of Production Economics, Elsevier, vol. 292(C).
  15. Boqiang Lin & Yitong Zhu, 2025. "Does AI elevate corporate ESG performance? A supply chain perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 34(1), pages 586-597, January.
  16. Kenneth Ezukwoke & Anis Hoayek & Mireille Batton-Hubert & Xavier Boucher & Pascal Gounet & Jérôme Adrian, 2025. "Big GCVAE: decision-making with adaptive transformer model for failure root cause analysis in semiconductor industry," Journal of Intelligent Manufacturing, Springer, vol. 36(4), pages 2423-2438, April.
  17. Monika Roman, 2022. "Sustainable Transport: A State-of-the-Art Literature Review," Energies, MDPI, vol. 15(23), pages 1-14, November.
  18. Hamed Jahani & Richa Jain & Dmitry Ivanov, 2026. "Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research," Annals of Operations Research, Springer, vol. 359(2), pages 1297-1354, April.
  19. Fakhreddin Fakhrai Rad & Pejvak Oghazi & İzmir Onur & Arash Kordestani, 2025. "Adoption of AI-based order picking in warehouse: benefits, challenges, and critical success factors," Review of Managerial Science, Springer, vol. 19(11), pages 3495-3540, November.
  20. Boone, Tonya & Fahimnia, Behnam & Ganeshan, Ram & Herold, David M. & Sanders, Nada R., 2025. "Generative AI: Opportunities, challenges, and research directions for supply chain resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 199(C).
  21. Zhao, Zuoxiang & Zhao, Qiuyun & Li, Siqi & Yan, Jiajia, 2025. "Artificial Intelligence-driven regional energy transition:Evidence from China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 48-60.
  22. Shengxing Yang, 2022. "A systematic literature review on the disruptions of artificial intelligence within the business world: in terms of the evolution of competences [Une revue systématique de la littérature sur les bouleversements de l'intelligence artificielle dans ," Post-Print hal-03694170, HAL.
  23. Sina Mohri, Seyed & Ghaderi, Hadi & Van Woensel, Tom & Mohammadi, Mehrdad & Nassir, Neema & Thompson, Russell G., 2024. "Contextualizing alternative delivery points in last mile delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  24. Wang, Liangcheng & Chen, Yizheng, 2025. "Artificial intelligence and corporate investment efficiency: Evidence from China," Emerging Markets Review, Elsevier, vol. 68(C).
  25. Haoyang Wu & Jing Liu & Biming Liang, 2025. "AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 3826-3868, March.
  26. Marcel Herold & Marc R.H. Roedenbeck, 2025. "AI-Driven Research in the Recruitment and Selection Process: Application of an AI Taxonomy With a Systematic Literature Review," SAGE Open, , vol. 15(3), pages 21582440251, August.
  27. Kongmanas Yavaprabhas & Mehrdokht Pournader & Stefan Seuring, 2023. "Blockchain as the “trust-building machine” for supply chain management," Annals of Operations Research, Springer, vol. 327(1), pages 49-88, August.
  28. Mao, Yanlan & Holmström, Jan & Cheng, Yang, 2025. "Applying machine learning to predict production capacity for engineer-to-order products: Learning from wind turbine industry," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
  29. Lixi Zhou & Tijun Fan & Jie Yang & Lihao Zhang, 2022. "Monopolistic vs. Competitive Supply Chain Concerning Selection of the Platform Selling Mode in Three Power Structures," Sustainability, MDPI, vol. 14(17), pages 1-27, September.
  30. Pervaiz Akhtar & Arsalan Mujahid Ghouri & Haseeb Ur Rehman Khan & Mirza Amin ul Haq & Usama Awan & Nadia Zahoor & Zaheer Khan & Aniqa Ashraf, 2023. "Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions," Annals of Operations Research, Springer, vol. 327(2), pages 633-657, August.
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