Resilience in supply chains: : an overview of current studies in the context of Covid-19

• Autor(a) principal: Gomes, Túlio
• Data de Publicação: 2023
• Outros Autores: Alves Pimenta, Márcio, Rocha de Freitas, Marlos, Carvalho, Luciana
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista de Administração, Sociedade e Inovação
• Texto Completo: https://www.rasi.vr.uff.br/index.php/rasi/article/view/649
• topic: Supply chain, resiliência, Covid-19; supply chain; covid-19; resiliência

Objective: The aim of this article is to characterize, through a systematic review of the scientific literature, the resilience in supply chains and how it can contribute in pandemic contexts such as Covid-19 Methodology: A systematic literature review was conducted in the Web of Science and Scopus databases, to identify the scientific literature on the themes of resilience in supply chains, in the context of Covid-19. The initial analysis was performed using the VOSViewer software with the construction of bibliometric networks of word co-occurrence. Later, with the help of the WebQDA software, textual searches were carried out in order to restrict the corpus of analysis, resulting in 19 articles. Conclusions: Among the resilience capabilities in the supply chain, collaboration had the greatest prominence. Articles involving the theme of purchases and acquisitions in this context are still scarce, with only five of the nineteen final works directly related to this stage of the supply chain Limitations/Implications of the Research: Publications in the context of Covid-19 are growing, and the study is limited to the date of collection of information, therefore, it is necessary to be constantly updated in works with this scope. Managerial Implications: Allows managers an overview of the factors that can help organizations become more resilient in unpredictable situations such as the Covid-19 pandemic. Originality: We propose a framework with the main factors that can help to have a resilient supply chain, which can return to its original state as soon as possible after suffering a major disruption.