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      Supply chain integration and innovation performance of manufacturing firms: The moderating role of research and development investment intensity

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          Abstract

          This paper delves into the impact of supply chain integration on corporate innovation performance. Utilizing panel data from 1,038 manufacturing companies listed on China’s A-shares stock market from 2012 to 2021, it analyzes how firms influence their innovation performance through supply chain integration and explores the moderating role of R&D investment in this relationship. The study reveals that internal integration significantly enhances corporate innovation performance, while customer and supplier integration negatively impact it. Furthermore, R&D investment mitigates the negative effect of supplier integration on innovation performance and positively moderates the relationship between customer integration and innovation performance. Given the diversity in ownership structures and equity concentration among Chinese firms, heterogeneity analysis shows that the positive effect of internal integration on innovation performance is more pronounced in state-owned enterprises and firms with high equity concentration. Conversely, in non-state-owned enterprises and firms with low equity concentration, the negative impact of customer and supplier integration on innovation performance is more significant, and the moderating effect of R&D investment varies according to the firm’s heterogeneity. The findings can help firms understand the mechanisms through which different dimensions of supply chain integration affect innovation. By leveraging resource dependence theory, this study offers theoretical guidance for supply chain management and offers practical insights aimed at enhancing corporate innovation practices.

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          Situational and institutional determinants of firms' R&D search intensity

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            Coopetition and product innovation performance: The role of internal knowledge sharing mechanisms and formal knowledge protection mechanisms

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              Innovation-oriented supply chain integration for combined competitiveness and firm performance

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS One
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 February 2025
                2025
                : 20
                : 2
                : e0316251
                Affiliations
                [001] School of Economics and Management, North University of China, Taiyuan, China
                National University of Sciences and Technology, PAKISTAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0009-0001-8613-1241
                Article
                PONE-D-24-06764
                10.1371/journal.pone.0316251
                11864519
                40009608
                928a9d7e-7efd-4895-b78f-424cc3a814ad
                © 2025 Zhou, Mei

                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.

                History
                : 19 February 2024
                : 9 December 2024
                Page count
                Figures: 0, Tables: 8, Pages: 23
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100017630, Humanities and Social Sciences Youth Foundation, Ministry of Education;
                Award ID: 22YJC790142
                Funded by: Ministry of Education Humanities and social Science research project Youth Fund project
                Award ID: 23YJC790133
                Funded by: Key research base of Humanities and social Sciences in Shanxi Province
                Award ID: 20200128
                Funded by: Shanxi graduate excellent course project
                Award ID: 2023YZ31
                This study was funded Humanities and Social Sciences Youth Foundation, Ministry of Education, (22YJC790142); Ministry of Education Humanities and social Science research project Youth Fund project, (23YJC790133); Key research base of Humanities and social Sciences in Shanxi Province, (20200128); Shanxi graduate excellent course project, (2023YZ31). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Engineering and Technology
                Management Engineering
                Supply Chain Management
                Social Sciences
                Economics
                Industrial Organization
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Social Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognition
                Decision Making
                Social Sciences
                Economics
                Industrial Organization
                Structure of Markets
                Computer and Information Sciences
                Network Analysis
                Network Resilience
                Social Sciences
                Economics
                Development Economics
                Economic Development
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Regression Analysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Regression Analysis
                Computer and Information Sciences
                Information Technology
                Custom metadata
                This paper used the DIB database and CSMAR database. All the data are primary data. CSMAR: https://data.csmar.com/ DIB database: https://www.dibdata.cn/d2/index.html.

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