Contextual Relationships of Factors Affecting Sustainability 4.0 in the Textile Industry

Marcella Fernanda Vieira Ottoni Bezerra Silva, Fagner José Coutinho de Melo, Eryka Fernanda Miranda Sobral (), Djalma Silva Guimarães, André Philippi Gonzaga de Albuquerque, Silvio André Vital, Pablo Aurélio Lacerda de Almeida Pinto, Tatyane Veras de Queiroz Ferreira da Cruz, Rômulo César Dias de Andrade and Kliver Lamarthine Alves Confessor
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Marcella Fernanda Vieira Ottoni Bezerra Silva: Departamento de Administração, Universidade de Pernambuco, Recife 50750-500, PE, Brazil
Fagner José Coutinho de Melo: Departamento de Administração, Universidade de Pernambuco, Recife 50750-500, PE, Brazil
Eryka Fernanda Miranda Sobral: Departamento de Administração, Universidade de Pernambuco, Recife 50750-500, PE, Brazil
Djalma Silva Guimarães: Departamento de Administração, Universidade de Pernambuco, Recife 50750-500, PE, Brazil
André Philippi Gonzaga de Albuquerque: Unidade Acadêmica de Recife (Engenharia de Produção e Administração), Universidade Federal de Pernambuco, Recife 50670-901, PE, Brazil
Silvio André Vital: Unidade Acadêmica de Recife (Engenharia de Produção e Administração), Universidade Federal de Pernambuco, Recife 50670-901, PE, Brazil
Pablo Aurélio Lacerda de Almeida Pinto: Departamento de Administração, Universidade de Pernambuco, Recife 50750-500, PE, Brazil
Tatyane Veras de Queiroz Ferreira da Cruz: Departamento de Administração, Universidade de Pernambuco, Recife 50750-500, PE, Brazil
Rômulo César Dias de Andrade: Departamento de Administração, Universidade de Pernambuco, Recife 50750-500, PE, Brazil
Kliver Lamarthine Alves Confessor: Unidade Acadêmica de Administração e Contabilidade (UAAC), Universidade Federal de Campina Grande, Campina Grande 58429-140, PB, Brazil

Sustainability, 2024, vol. 16, issue 14, 1-23

Abstract: This study aims to identify the contextual relationships between the impact factors on Sustainability 4.0, through the principles of I4.0 in the textile industry, using interpretive structural modeling (ISM), a qualitative technique that makes it possible to understand the relationship between different factors, classifying them hierarchically based on their interdependencies. The hierarchy of the 16 (sixteen) factors proposed at different levels helps to identify critical areas to focus efforts and investments, providing data to guide strategic business planning. From the result of the Level Partition Chart, four levels were observed for the ISM diagram. The Corporate Social Responsibility factor (FIS7) was considered a dependent variable of all others. The identification of FIS4, FIS10 and FIS14 as factors with high dependence suggests key areas for strategic interventions. Thus, this study provides a solid theoretical basis and practical recommendations that help textile companies adopt sustainable and technologically advanced strategies, promoting an effective transition to Sustainability 4.0.

Keywords: textile industry; interpretive structural modeling; Industry 4.0; Sustainability 4.0 (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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