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Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms

This study provides evidence for the supply network position influencing innovation performance and the moderating effect of digital transformation. Supply chain relationships have been evaluated in earlier research to demonstrate how concentrations of customers and suppliers may either favorably or...

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Detalles Bibliográficos
Autores principales: Du, Chunyan, Zhang, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754206/
https://www.ncbi.nlm.nih.gov/pubmed/36520812
http://dx.doi.org/10.1371/journal.pone.0279133
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author Du, Chunyan
Zhang, Qiang
author_facet Du, Chunyan
Zhang, Qiang
author_sort Du, Chunyan
collection PubMed
description This study provides evidence for the supply network position influencing innovation performance and the moderating effect of digital transformation. Supply chain relationships have been evaluated in earlier research to demonstrate how concentrations of customers and suppliers may either favorably or adversely impact innovation. These metrics, however, only take into account how closely a firm is connected to its direct customers or suppliers. This study integrates the top five suppliers and customers of Chinese listed manufacturing firms and considers the relationship embeddedness of each firm’s direct customers and suppliers, as well as the structure embeddedness among the customers’ customers, customers’ suppliers, suppliers’ customers, and suppliers’ suppliers to reveal the true impact of supply chain relationships on innovation performance. The top five suppliers and consumers of each firm are chosen to build a supply network for each year using panel data of listed Chinese manufacturing firms from 2013 to 2020. Social network analysis is used to determine network centrality and structural holes. The results show that in the supply network, network centrality and structural holes are significantly negatively correlated with innovation performance, especially in small and medium-sized firms, non-state-owned firms, and firms in recession phase. According to the moderating effect model, digital transformation is an efficient way to reduce the negative effect of supply network position on innovation performance. The research results will further improve the supply network cooperation mechanism, which is of great significance for improving supply chain resilience and firms’ innovation.
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spelling pubmed-97542062022-12-16 Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms Du, Chunyan Zhang, Qiang PLoS One Research Article This study provides evidence for the supply network position influencing innovation performance and the moderating effect of digital transformation. Supply chain relationships have been evaluated in earlier research to demonstrate how concentrations of customers and suppliers may either favorably or adversely impact innovation. These metrics, however, only take into account how closely a firm is connected to its direct customers or suppliers. This study integrates the top five suppliers and customers of Chinese listed manufacturing firms and considers the relationship embeddedness of each firm’s direct customers and suppliers, as well as the structure embeddedness among the customers’ customers, customers’ suppliers, suppliers’ customers, and suppliers’ suppliers to reveal the true impact of supply chain relationships on innovation performance. The top five suppliers and consumers of each firm are chosen to build a supply network for each year using panel data of listed Chinese manufacturing firms from 2013 to 2020. Social network analysis is used to determine network centrality and structural holes. The results show that in the supply network, network centrality and structural holes are significantly negatively correlated with innovation performance, especially in small and medium-sized firms, non-state-owned firms, and firms in recession phase. According to the moderating effect model, digital transformation is an efficient way to reduce the negative effect of supply network position on innovation performance. The research results will further improve the supply network cooperation mechanism, which is of great significance for improving supply chain resilience and firms’ innovation. Public Library of Science 2022-12-15 /pmc/articles/PMC9754206/ /pubmed/36520812 http://dx.doi.org/10.1371/journal.pone.0279133 Text en © 2022 Du, Zhang https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Du, Chunyan
Zhang, Qiang
Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms
title Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms
title_full Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms
title_fullStr Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms
title_full_unstemmed Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms
title_short Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms
title_sort supply network position, digital transformation and innovation performance: evidence from listed chinese manufacturing firms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754206/
https://www.ncbi.nlm.nih.gov/pubmed/36520812
http://dx.doi.org/10.1371/journal.pone.0279133
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