ChatGPT in supply chain management - a research model

Purpose: The aim of the research is to indicate potential areas of application for ChatGPT in the supply chain and the associated outcomes with reference to specific examples. The purpose of the deliberations is also to propose a research model, which will serve as an empirical matrix for examining case studies and, as this technology becomes more widespread, for quantitative research. Design/methodology/approach: In the first stage of the research, a qualitative review of scientific literature was conducted. Subsequently, selected items were assigned to thematic modules, guided by knowledge of the sequencing of processes in the supply chain. The collected material allowed for the identification of research gaps in the discussed topic. Findings: As a result of the undertaken work, a measurement tool has been proposed, useful for future research on the use of ChatGPT in supply chains, consisting of several constructs and dozens of test items. This is also the first such proposal in the world literature. It has been found that the application of ChatGPT at its current stage of development and empirical evidence is primarily illustrated in relation to logistics and marketing management, mainly in customer service and transport tasks. The effectiveness of chat application has been confirmed, among others, in the area of supply chain configuration, supplier selection, inventory management, production, and transportation. However, these are individual studies. There is a lack of empirical studies on the use of GPT in freight forwarding, logistics operators, distribution, and reverse logistics. Research is also needed on the connections between the described technology and other Industry 4.0 technologies used in the supply chain. Such correlations have been examined in relation to blockchain, 3D, but the potential in this area is much greater. Research limitations/implications: The article integrates knowledge of supply chain management and the potential of one of the most advanced Natural Language Processing models. This area is exceptionally under-explored compared to previous works in the field of ChatGPT. Practical implications: Enterprises implementing ChatGPT in their supply chains can generate specific business benefits outlined in the research model. Social implications: The described technology can have positive effects in all dimensions of sustainable activities.