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Competitor-Weighted Centrality and Small-World Clusters in Competition Networks on Firms’ Innovation Ambidexterity: Evidence from the Wind Energy Industry

A firm’s embedding structures in a technology competition network can influence its propensity for innovation ambidexterity. Using PCT (patent cooperation treaty) patent data of wind energy companies between 2010 and 2019, we adopted social network analysis and fixed-effects panel negative binomial...

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Autores principales: Zhao, Runbo, Zhang, Huiying, Zhang, Marina Yue, Qu, Fei, Xu, Yunlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959705/
https://www.ncbi.nlm.nih.gov/pubmed/36834033
http://dx.doi.org/10.3390/ijerph20043339
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author Zhao, Runbo
Zhang, Huiying
Zhang, Marina Yue
Qu, Fei
Xu, Yunlong
author_facet Zhao, Runbo
Zhang, Huiying
Zhang, Marina Yue
Qu, Fei
Xu, Yunlong
author_sort Zhao, Runbo
collection PubMed
description A firm’s embedding structures in a technology competition network can influence its propensity for innovation ambidexterity. Using PCT (patent cooperation treaty) patent data of wind energy companies between 2010 and 2019, we adopted social network analysis and fixed-effects panel negative binomial regression to examine the impacts of network structural features on firm innovation ambidexterity. The results show that competitor-weighted centrality contributes to a firm’s propensities for both incremental and radical green innovation. In contrast, a firm’s embeddedness in small-world clusters can moderate the effect of the firm’s competitor-weighted centrality positively on its incremental innovation but negatively on its radical innovation. The study makes three theoretical contributions. First, it enriches the understanding of how the competition network affects innovation ambidexterity. Second, it provides new insights into the relationship between competition network structures and technology innovation strategy. Finally, it contributes to bridging the research on the social embeddedness perspective and green innovation literature. The findings of this study have important implications for enterprises in the wind energy sector regarding how competitive relationships affect green technology innovation. The study underscores the importance of considering the competitiveness of a firm’s rivals and the embedded structural features when devising green innovation strategies.
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spelling pubmed-99597052023-02-26 Competitor-Weighted Centrality and Small-World Clusters in Competition Networks on Firms’ Innovation Ambidexterity: Evidence from the Wind Energy Industry Zhao, Runbo Zhang, Huiying Zhang, Marina Yue Qu, Fei Xu, Yunlong Int J Environ Res Public Health Article A firm’s embedding structures in a technology competition network can influence its propensity for innovation ambidexterity. Using PCT (patent cooperation treaty) patent data of wind energy companies between 2010 and 2019, we adopted social network analysis and fixed-effects panel negative binomial regression to examine the impacts of network structural features on firm innovation ambidexterity. The results show that competitor-weighted centrality contributes to a firm’s propensities for both incremental and radical green innovation. In contrast, a firm’s embeddedness in small-world clusters can moderate the effect of the firm’s competitor-weighted centrality positively on its incremental innovation but negatively on its radical innovation. The study makes three theoretical contributions. First, it enriches the understanding of how the competition network affects innovation ambidexterity. Second, it provides new insights into the relationship between competition network structures and technology innovation strategy. Finally, it contributes to bridging the research on the social embeddedness perspective and green innovation literature. The findings of this study have important implications for enterprises in the wind energy sector regarding how competitive relationships affect green technology innovation. The study underscores the importance of considering the competitiveness of a firm’s rivals and the embedded structural features when devising green innovation strategies. MDPI 2023-02-14 /pmc/articles/PMC9959705/ /pubmed/36834033 http://dx.doi.org/10.3390/ijerph20043339 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Runbo
Zhang, Huiying
Zhang, Marina Yue
Qu, Fei
Xu, Yunlong
Competitor-Weighted Centrality and Small-World Clusters in Competition Networks on Firms’ Innovation Ambidexterity: Evidence from the Wind Energy Industry
title Competitor-Weighted Centrality and Small-World Clusters in Competition Networks on Firms’ Innovation Ambidexterity: Evidence from the Wind Energy Industry
title_full Competitor-Weighted Centrality and Small-World Clusters in Competition Networks on Firms’ Innovation Ambidexterity: Evidence from the Wind Energy Industry
title_fullStr Competitor-Weighted Centrality and Small-World Clusters in Competition Networks on Firms’ Innovation Ambidexterity: Evidence from the Wind Energy Industry
title_full_unstemmed Competitor-Weighted Centrality and Small-World Clusters in Competition Networks on Firms’ Innovation Ambidexterity: Evidence from the Wind Energy Industry
title_short Competitor-Weighted Centrality and Small-World Clusters in Competition Networks on Firms’ Innovation Ambidexterity: Evidence from the Wind Energy Industry
title_sort competitor-weighted centrality and small-world clusters in competition networks on firms’ innovation ambidexterity: evidence from the wind energy industry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959705/
https://www.ncbi.nlm.nih.gov/pubmed/36834033
http://dx.doi.org/10.3390/ijerph20043339
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