Exploring the Potential of Large Language Models in Supply Chain Management

IF 4.5 3区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Global Information Management Pub Date : 2024-01-10 DOI:10.4018/jgim.335125

Santosh Kumar Srivastava, Susmi Routray, Surajit Bag, Shivam Gupta, J. Zhang

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Abstract

This study aims to identify emerging topics, themes, and potential areas for applying large language models (LLMs) in supply chain management through data triangulation. This study involved the synthesis of 33 published articles and a total of 3421 social media documents, including tweets, posts, expert opinions, and industry reports on utilizing LLMs in supply chain management. By employing BERT models, four core themes were derived: Supply chain optimization, supply chain risk and security management, supply chain knowledge management, and automated contract intelligence, which provides the present status of LLM in the supply chain. The results of this study will empower managers to identify prospective applications and areas for improvement, affording them a comprehensive understanding of the antecedents, decisions, and outcomes detailed in the framework. The insights garnered from this study are highly valuable to both researchers and managers, equipping them to harness the latest advancements in LLM technology and its role within supply chain management.

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探索大型语言模型在供应链管理中的潜力

本研究旨在通过数据三角分析，确定供应链管理中应用大型语言模型（LLM）的新兴话题、主题和潜在领域。本研究综合了 33 篇公开发表的文章和总计 3421 篇社交媒体文件，包括推文、帖子、专家意见和有关在供应链管理中使用大型语言模型的行业报告。通过使用 BERT 模型，得出了四个核心主题：供应链优化、供应链风险与安全管理、供应链知识管理和自动化合同智能，这四个核心主题提供了供应链中 LLM 的现状。这项研究的结果将使管理者有能力确定未来的应用和需要改进的领域，让他们全面了解框架中详述的前因、决策和结果。本研究获得的见解对研究人员和管理人员都非常有价值，使他们能够利用 LLM 技术的最新进展及其在供应链管理中的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Global Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

5.80

自引率

14.90%

发文量

118

期刊介绍： Authors are encouraged to submit manuscripts that are consistent to the following submission themes: (a) Cross-National Studies. These need not be cross-culture per se. These studies lead to understanding of IT as it leaves one nation and is built/bought/used in another. Generally, these studies bring to light transferability issues and they challenge if practices in one nation transfer. (b) Cross-Cultural Studies. These need not be cross-nation. Cultures could be across regions that share a similar culture. They can also be within nations. These studies lead to understanding of IT as it leaves one culture and is built/bought/used in another. Generally, these studies bring to light transferability issues and they challenge if practices in one culture transfer.