Supply Chains and Artificial Intelligence: An Approach to the State of the Art
Supply Chains and Artificial Intelligence: An Approach to the State of the Art
Luis Oswaldo Rodríguez Mañay,Orlando Rodríguez,Jhon Antuny Pabón León,J. A. Pérez
TLDR
A scientometric review utilizing the Scopus and Web of Science databases, with data preprocessing executed via R and Python underscores the paradigm-shifting impact of AI on SC management.
Abstract
The rapid advancement of Artificial Intelligence (AI) in recent years has precipitated transformative changes across various industries, with Supply Chain (SC) management being no exception. Given the swift progression and the advent of innovations such as ChatGPT, it becomes imperative to delineate both the historical and recent academic contributions to this field, thereby facilitating a comprehensive understanding of future trajectories and the potential impact of these technologies. Consequently, we conducted a scientometric review utilizing the Scopus and Web of Science databases, with data preprocessing executed via R and Python. The resultant findings are bifurcated into two sections: the first encompasses a scientometric mapping of annual scientific production, country-specific contributions, journal publications and author collaboration analysis. The second section delineates the evolution of theoretical contributions, employing the metaphor of the Tree of Science for illustrative purposes. The conclusions underscore the paradigm-shifting impact of AI on SC management.
