Research on the Relationship Between Structural Characteristics of Corporate Social Networks and Risk-Taking Levels: Evidence from China

The complex market environment places unprecedented pressure on business decision-making processes. Effectively utilizing existing social resources to establish risk prevention mechanisms and accurately assess an enterprise’s risk-taking capacity has become a core issue for corporate survival and development. This paper examines 1810 listed companies on the Shanghai and Shenzhen A-shares markets from 2010 to 2022, constructing comprehensive social networks based on multiple corporate governance entities. It investigates the influence and transmission mechanisms of corporate social networks on risk-taking levels. The results reveal that (1) enhanced corporate social network centrality, structural holes, and connectivity significantly and positively affect corporate risk-taking levels; (2) information transparency and corporate governance quality serve as important mediating mechanisms through which social networks influence corporate risk-taking; (3) significant heterogeneity exists regarding executives’ backgrounds and industry attributes—specifically, in firms with executives possessing financial backgrounds and in high-tech industry enterprises, network characteristics play a more pronounced role in promoting risk-taking. This research not only enriches the literature on factors influencing enterprise risk-taking but also provides theoretical foundations and practical insights for improving corporate risk management capabilities through optimized social network structures.

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Publication Details

Journal
Systems
Published
2025-04-26
DOI
https://doi.org/10.3390/systems13050319
Citations
2
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
2.65

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article

Research on the Relationship Between Structural Characteristics of Corporate Social Networks and Risk-Taking Levels: Evidence from China

Jinyu He, Tai-Chen Feng, Zuoji Dong, Yubin Huangfu
2 citations
Systems
Complex Network Analysis Techniques
2.65
article

Research on the Relationship Between Structural Characteristics of Corporate Social Networks and Risk-Taking Levels: Evidence from China

Jinyu He, Tai-Chen Feng, Zuoji Dong, Yubin Huangfu
article en
2 citations

Abstract

The complex market environment places unprecedented pressure on business decision-making processes. Effectively utilizing existing social resources to establish risk prevention mechanisms and accurately assess an enterprise’s risk-taking capacity has become a core issue for corporate survival and development. This paper examines 1810 listed companies on the Shanghai and Shenzhen A-shares markets from 2010 to 2022, constructing comprehensive social networks based on multiple corporate governance entities. It investigates the influence and transmission mechanisms of corporate social networks on risk-taking levels. The results reveal that (1) enhanced corporate social network centrality, structural holes, and connectivity significantly and positively affect corporate risk-taking levels; (2) information transparency and corporate governance quality serve as important mediating mechanisms through which social networks influence corporate risk-taking; (3) significant heterogeneity exists regarding executives’ backgrounds and industry attributes—specifically, in firms with executives possessing financial backgrounds and in high-tech industry enterprises, network characteristics play a more pronounced role in promoting risk-taking. This research not only enriches the literature on factors influencing enterprise risk-taking but also provides theoretical foundations and practical insights for improving corporate risk management capabilities through optimized social network structures.

SystemsVol. 13(5)
University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 11%
Complex Network Analysis Techniques
2.65
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Research on the Relationship Between Structural Characteristics of Corporate Social Networks and Risk-Taking Levels: Evidence from China — Jinyu He, Tai-Chen Feng, et al. · Systems (2025) | TGRS Research Map | TGRS