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Thomassey, S., & Zeng, X. (2021). FBD_Bmodel Digital Platform: A Web-Based Application for Demand Driven Fashion Supply Chain. In A. Dolgui et al. (Eds.), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology (Vol. 630, pp. 21-30). Springer.
https://doi.org/10.1007/978-3-030-85874-2_3

has been cited by the following article:

• TITLE: Artificial Intelligence in the Management of Textile Companies: A Contextual Analysis

  AUTHORS: Marco Vinicio Cevallos Bravo, William Marcelo Ponce Iturralde

  KEYWORDS: Textile Factories, Textile Marketing, Management Strategies, Artificial Intelligence in Decision Making, Bibliometric Analysis, Text Mining, Term Map

  JOURNAL NAME: Open Journal of Business and Management, Vol.12 No.2, March 20, 2024

  ABSTRACT: The aim of this scientific contribution is to present a contextual analysis of the applications of artificial intelligence in the management and optimization of the textile industry. To achieve this objective, this scientific contribution carries out research in the domains of the Sopas research platform. In this research, the bibliometric and bibliographic analysis tools of this platform are used. In addition, the VOSviewer software is used to generate a term map from text mining. This document focuses on the following lines of results: 1) scientometric analysis of research related to artificial intelligence in the management of textile companies. 2) Main publications related to artificial intelligence in the management of textile companies. 3) A discussion on the application of artificial intelligence in the management of textile companies.