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The presented article represents a systematic literature review of empirical studies on the adoption of AI for applications in the field of supply chain management. In the last decade, AI has advanced remarkably, bringing transformative changes to business operations and society. This review explores current technological approaches and their wide-ranging applications, offering valuable insights with potential to revolutionize supply chain processes in regions like Uzbekistan, where AI integration could drive significant economic growth and operational advancements. This study sets the stage for future academic research in Uzbekistan while also offering insights to help managers make better decisions about using AI in supply chain management.

  • Internet ҳавола
  • DOI
  • UzSCI тизимида яратилган сана 20-01-2025
  • Ўқишлар сони 58
  • Нашр санаси 28-12-2024
  • Мақола тилиIngliz
  • Саҳифалар сони180-183
English

The presented article represents a systematic literature review of empirical studies on the adoption of AI for applications in the field of supply chain management. In the last decade, AI has advanced remarkably, bringing transformative changes to business operations and society. This review explores current technological approaches and their wide-ranging applications, offering valuable insights with potential to revolutionize supply chain processes in regions like Uzbekistan, where AI integration could drive significant economic growth and operational advancements. This study sets the stage for future academic research in Uzbekistan while also offering insights to help managers make better decisions about using AI in supply chain management.

№ Муаллифнинг исми Лавозими Ташкилот номи
1 Salikhov S.. manager ITF Group LLC
№ Ҳавола номи
1 Harvard University. (2017). The history of Artificial Intelligence. Retrieved from https://sitn.hms.harvard.edu/flash/2017/history-artificialintelligence/
2 Cabinet of Ministers of Uzbekistan. (2023). On measures to implement the state program for the development of artificial intelligence for 2023–2030. Retrieved from https://lex.uz/ru/pdfs/7158606
3 Durach, C.F., Kembro, J., & Wieland, A. (2017). A new paradigm for systematic literature reviews in supply chain management. Journal of Supply Chain Management, 53(4), 67–85.
4 Gartner. (2024, February 20). Gartner says top supply chain organizations are using AI to optimize processes at more than twice the rate of low-performing peers. Gartner Newsroom. Retrieved from https://www.gartner.com/en/newsroom/pressreleases/2024-02-20-gartner-says-top-supply-chainorganizations-are-using-ai-to-optimize-processes-at-morethan-twice-the-rate-of-low-performing-peers
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15 Pillai, R., Sivathanu, B., Mariani, M., Rana, N. P., Yang, B., & Dwivedi, Y. K. (2021). Adoption of AIempowered industrial robots in auto component manufacturing companies. Production Planning & Control, 32(12), 1517–1533. https://doi.org/10.1080/09537287.2021.1882689
16 S. Wong, J.K.-W. Yeung, Y.-Y. Lau, T. Kawasaki, A case study of how maersk adopts cloud-based blockchain integrated with machine learning for sustainable practices, Sustainability 15 (9) (2023) 7305.
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18 Abou-Foul, M., Ruiz-Alba, J. L., & LópezTenorio, P. J. (2023). The influence of artificial intelligence capabilities on servitization: Examining the moderating role of absorptive capacity from a dynamic capabilities perspective. Journal of Business Research, 157, 113609. https://doi.org/10.1016/j.jbusres.2022.113609
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