Supply Chains and Artificial Intelligence: An Approach to the State of the Art

被引:0
|
作者
Manay, Luis Oswaldo Rodriguez [1 ]
Rodriguez, Orlando Valencia [2 ,3 ]
Leon, Jhon Antuny Pabon [4 ]
Perez, Jose Alexander Duran [4 ]
机构
[1] Univ Cent Ecuador, Fac Ciencias Adm, Quito, Ecuador
[2] Univ Nacl Colombia, Dept Ingn Ind Sede Manizales, Bogota, Colombia
[3] Univ Autonoma Manizales, Dept Fis & Matemat, Manizales, Colombia
[4] Univ Francisco Paula Santander, Fac Ciencias Empresariales, Dept Ciencias Adm, Programa Adm Empresas, Cucuta, Colombia
关键词
Artificial Intelligence; Supply Chain; Scientometrics; Tree of Science; BIG DATA ANALYTICS; MANAGEMENT; LOGISTICS; RISK; GOVERNANCE; SYSTEMS; FUTURE; TIME;
D O I
10.5530/jscires.13.2.30
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
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.
引用
收藏
页码:382 / 395
页数:14
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