供应链中的ChatGPT:应用的初步证据和潜在的研究议程

IF 3.6 Q2 MANAGEMENT
G. Frederico
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引用次数: 14

摘要

背景:自2022年11月推出以来,ChatGPT已被广泛讨论。问题陈述:在最近和稀缺的文献中,ChatGPT的主要方法更多地关注对通用、应用科学和教育系统的影响,这证明了管理领域存在相关差距,尤其是与供应链领域相关的差距。目的:作为一项新颖的初步贡献,本文旨在根据最初发现的证据,就ChatGPT在供应链中的主要应用和其他问题提供一个观点。方法:这篇观点文章基于专业杂志、博客和公司网站上为数不多的文章,这些文章涉及ChatGPT在供应链中的潜在应用和其他问题,因为由于研究数据库中缺乏涉及该主题的论文,因此无法进行系统的文献综述。贡献:本文为参与供应链活动的从业者做出了贡献,他们希望获得与ChatGPT对供应链的影响和应用相关的初步和结构化内容。它还试图通过提出潜在的研究议程主题来鼓励研究人员在该领域进行进一步的研究部署。结果:基于分析内容的质量结果的第一个证据表明,尽管这项技术发展到理想的成熟度可能需要时间,它可以应用于供应链管理的不同领域(例如,路线优化、预测性维护、订单装运、客户和供应商关系、数据分析、订购流程、发票自动化、减少浪费、员工培训和指导等),具有潜在的显著效益,例如降低成本和改善供应链性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ChatGPT in Supply Chains: Initial Evidence of Applications and Potential Research Agenda
Background: ChatGPT has been largely discussed since it was launched in November 2022. Problem statement: the main approaches of ChatGPT in the recent and scarce literature are more focused on the impacts for general use, applied sciences and educational systems, which evidences a relevant gap for the management field, especially related to the supply chain area. Objectives: as a novel and initial contribution, this article aims to provide a viewpoint with the main applications and other issues regarding ChatGPT in supply chains, based on the initial discovered evidence. Methods: This viewpoint article is grounded on the few articles available in specialized magazines, blogs and company websites that approach potential applications and other issues of ChatGPT in supply chains, as a systematic literature review was not possible due to the absence of papers approaching the subject in the research databases. Contributions: this article contributes to the practitioners involved in supply chain activities who desire to have an initial and structured content related to the impacts and applications of ChatGPT on supply chains. It also seeks to encourage researchers on further research deployments in this field by presenting potential research agenda topics. Results: first evidence based on quality results from the analyzed content showed that, although it may take time until this technology evolves to a desirable level of maturity, it may be applied in different areas of supply chain management (e.g., route optimization, predictive maintenance, order shipment, customer and supplier relationships, data analysis, ordering process, automating invoices, reducing waste, workforce training and guidance, amongst others), with a potential generation of significant benefits such as cost reductions and the improvement of supply chain performance.
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来源期刊
Logistics-Basel
Logistics-Basel Multiple-
CiteScore
6.60
自引率
0.00%
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审稿时长
11 weeks
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