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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| Veröffentlicht in: | PloS one 2022-12, Vol.17 (12), p.e0279133-e0279133 |
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| 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. |
| doi_str_mv | 10.1371/journal.pone.0279133 |
| format | Article |
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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0279133</identifier><identifier>PMID: 36520812</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Case studies ; Centrality ; China ; Commerce ; Companies ; Competitive advantage ; Computer and Information Sciences ; Consumers ; Customers ; Dependency theory ; Digital transformation ; Economic aspects ; Economic development ; Engineering and Technology ; Feedback ; Forecasts and trends ; Humans ; Hypotheses ; Innovations ; Knowledge ; Logistics ; Manufacturing ; Manufacturing Industry ; Network analysis ; Network centrality ; Panel data ; People and Places ; Questionnaires ; R&D ; Research & development ; Resilience ; Social network analysis ; Social networks ; Social organization ; Social Sciences ; Social structure ; Suppliers ; Supply chains ; Transformation ; Transformations</subject><ispartof>PloS one, 2022-12, Vol.17 (12), p.e0279133-e0279133</ispartof><rights>Copyright: © 2022 Du, Zhang. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Du, Zhang. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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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.</description><subject>Case studies</subject><subject>Centrality</subject><subject>China</subject><subject>Commerce</subject><subject>Companies</subject><subject>Competitive advantage</subject><subject>Computer and Information Sciences</subject><subject>Consumers</subject><subject>Customers</subject><subject>Dependency theory</subject><subject>Digital transformation</subject><subject>Economic aspects</subject><subject>Economic development</subject><subject>Engineering and Technology</subject><subject>Feedback</subject><subject>Forecasts and trends</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Innovations</subject><subject>Knowledge</subject><subject>Logistics</subject><subject>Manufacturing</subject><subject>Manufacturing Industry</subject><subject>Network 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Ashkan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-12-15</date><risdate>2022</risdate><volume>17</volume><issue>12</issue><spage>e0279133</spage><epage>e0279133</epage><pages>e0279133-e0279133</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36520812</pmid><doi>10.1371/journal.pone.0279133</doi><tpages>e0279133</tpages><orcidid>https://orcid.org/0000-0003-4326-4930</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Sociological Abstracts; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Case studies Centrality China Commerce Companies Competitive advantage Computer and Information Sciences Consumers Customers Dependency theory Digital transformation Economic aspects Economic development Engineering and Technology Feedback Forecasts and trends Humans Hypotheses Innovations Knowledge Logistics Manufacturing Manufacturing Industry Network analysis Network centrality Panel data People and Places Questionnaires R&D Research & development Resilience Social network analysis Social networks Social organization Social Sciences Social structure Suppliers Supply chains Transformation Transformations |
| title | Supply network position, digital transformation and innovation performance: Evidence from listed Chinese manufacturing firms |
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