Entrepreneurs’ Social Network and Corporate Risk Contagion: A Dynamic Evaluation and Simulation Approach

Joint Authors

Yang, Yang
Qian, Qian
Li, Zheng

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-21

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Philosophy

Abstract EN

Interactions of entrepreneurs through social networks provide an available path for corporate risk contagions.

However, the issue how entrepreneurs’ social networks influence on corporate risk contagion is still received limited attention from scholars.

In this study, a framework is proposed to describe entrepreneurs’ interaction and corporate value creation.

The main results of multiagent simulations indicate the following.

First, either weak ties or strong connections of social networks can enhance density of corporate risk contagion.

However, only strong connections can be moderated by entrepreneurs’ risk preference.

Second, weak ties improve risk exposure of individual corporations, while strong connections may probably decrease systematical risk of the market.

Third, weak ties are important for mature corporations to achieve business success.

However, for startups, strong connections are more valuable to maintain.

The findings of this study not only provide theoretical support from some widely accepted economic phenomenon but also provide explanations for conflicting results from some previous literatures.

American Psychological Association (APA)

Yang, Yang& Qian, Qian& Li, Zheng. 2020. Entrepreneurs’ Social Network and Corporate Risk Contagion: A Dynamic Evaluation and Simulation Approach. Complexity،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1143198

Modern Language Association (MLA)

Yang, Yang…[et al.]. Entrepreneurs’ Social Network and Corporate Risk Contagion: A Dynamic Evaluation and Simulation Approach. Complexity No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1143198

American Medical Association (AMA)

Yang, Yang& Qian, Qian& Li, Zheng. Entrepreneurs’ Social Network and Corporate Risk Contagion: A Dynamic Evaluation and Simulation Approach. Complexity. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1143198

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1143198