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Identifying the pathways through digital transformation to achieve supply chain resilience: an fsQCA approach

The manufacturing industry has placed a greater emphasis on digital transformation, especially under the impact of COVID-19. However, the influence mechanism between digital transformation and supply chain resilience is still a topic of discussion. Resource orchestration theory indicates that a firm...

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Detalles Bibliográficos
Autor principal: Yin, Weili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463511/
https://www.ncbi.nlm.nih.gov/pubmed/36087176
http://dx.doi.org/10.1007/s11356-022-22917-w
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author Yin, Weili
author_facet Yin, Weili
author_sort Yin, Weili
collection PubMed
description The manufacturing industry has placed a greater emphasis on digital transformation, especially under the impact of COVID-19. However, the influence mechanism between digital transformation and supply chain resilience is still a topic of discussion. Resource orchestration theory indicates that a firm not only need to emphasize the investment of resources but also pays attention to the allocation of resources. Therefore, based on the resource orchestration theory, this study divides the digital transformation into digital transformation breadth and digital transformation depth and combines R&D spending (R&D intensity and R&D employee) and contingency factors (firm size) to construct a theoretical path of “digital transformation-supply chain resilience.” This research uses fuzzy sets qualitative comparative analysis to explore how to configure the digital transformation to achieve high supply chain resilience based on data from 193 listed manufacturing firms. Using the fsQCA software, it was discovered that there were no necessary conditions for achieving high supply chain resilience; sufficient condition analysis revealed that there are six paths to achieving high supply chain resilience, four of which can be summarized as digital transformation driven and the other two as R&D spending driven. These several approaches highlight the complicated causal relationship between digital transformation and supply chain resilience, as well as give theoretical and practical recommendations for firms looking to implement digital strategies and enhance their supply chains.
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spelling pubmed-94635112022-09-10 Identifying the pathways through digital transformation to achieve supply chain resilience: an fsQCA approach Yin, Weili Environ Sci Pollut Res Int Research Article The manufacturing industry has placed a greater emphasis on digital transformation, especially under the impact of COVID-19. However, the influence mechanism between digital transformation and supply chain resilience is still a topic of discussion. Resource orchestration theory indicates that a firm not only need to emphasize the investment of resources but also pays attention to the allocation of resources. Therefore, based on the resource orchestration theory, this study divides the digital transformation into digital transformation breadth and digital transformation depth and combines R&D spending (R&D intensity and R&D employee) and contingency factors (firm size) to construct a theoretical path of “digital transformation-supply chain resilience.” This research uses fuzzy sets qualitative comparative analysis to explore how to configure the digital transformation to achieve high supply chain resilience based on data from 193 listed manufacturing firms. Using the fsQCA software, it was discovered that there were no necessary conditions for achieving high supply chain resilience; sufficient condition analysis revealed that there are six paths to achieving high supply chain resilience, four of which can be summarized as digital transformation driven and the other two as R&D spending driven. These several approaches highlight the complicated causal relationship between digital transformation and supply chain resilience, as well as give theoretical and practical recommendations for firms looking to implement digital strategies and enhance their supply chains. Springer Berlin Heidelberg 2022-09-10 2023 /pmc/articles/PMC9463511/ /pubmed/36087176 http://dx.doi.org/10.1007/s11356-022-22917-w Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Yin, Weili
Identifying the pathways through digital transformation to achieve supply chain resilience: an fsQCA approach
title Identifying the pathways through digital transformation to achieve supply chain resilience: an fsQCA approach
title_full Identifying the pathways through digital transformation to achieve supply chain resilience: an fsQCA approach
title_fullStr Identifying the pathways through digital transformation to achieve supply chain resilience: an fsQCA approach
title_full_unstemmed Identifying the pathways through digital transformation to achieve supply chain resilience: an fsQCA approach
title_short Identifying the pathways through digital transformation to achieve supply chain resilience: an fsQCA approach
title_sort identifying the pathways through digital transformation to achieve supply chain resilience: an fsqca approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463511/
https://www.ncbi.nlm.nih.gov/pubmed/36087176
http://dx.doi.org/10.1007/s11356-022-22917-w
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