科研管理 ›› 2022, Vol. 43 ›› Issue (3): 134-141.

• 论文 • 上一篇    下一篇

风险投资网络社群结构、信息传播与认知临近性

党兴华1,裴筱捷1,王雷2   

  1. 1.西安理工大学经济与管理学院,陕西 西安710054;
    2.江南大学商学院,江苏 无锡214122

  • 收稿日期:2020-01-07 修回日期:2021-04-01 出版日期:2022-03-20 发布日期:2022-03-16
  • 通讯作者: 裴筱捷
  • 基金资助:
    国家自然科学基金面上项目:“风险投资网络社群形成机理及对投资绩效的影响研究”(71572146,2016.01—2019.12);国家自然科学基金青年项目:“技术创新网络惯例复制机理及对创新催化的影响:悖论整合视角”(71902157,2020.01—2022.12);国家社会科学基金项目:“军民科技融合网络的创新催化机制研究”(18BGL030,2018.07—2020.12)。

The network community structure, information dissemination and cognitive proximity of venture capital

Dang Xinghua1, Pei Xiaojie1, Wang Lei2   

  1. 1. School of Economics and Management, Xi′an University of Technology, Xi′an 710054, Shaanxi, China;  2. School of Business, Jiangnan University, Wuxi 214122, Jiangsu, China

  • Received:2020-01-07 Revised:2021-04-01 Online:2022-03-20 Published:2022-03-16

摘要:    本文主要研究中国风险投资网络社群结构影响信息传播。遵循社群结构在认知临近性的影响下改变信息传播的逻辑思路,提出了风险投资网络社群结构的三个维度和信息传播的两种类型,采用实证分析法分别检验。研究发现:社群凝聚性对两种信息传播都是负向影响,地位差异和协调性对两种信息传播都是正向影响。凝聚性比地位差异影响项目信息传播更显著,地位差异比协调性影响项目信息传播更显著。凝聚性与地位差异对经验信息传播的影响差异不显著,地位差异比协调性对经验信息传播影响更显著。认知临近性会正向影响社群凝聚性与两种信息传播的关系,会负向影响社群地位差异与两种信息传播的关系,会负向影响协调性与两种信息传播的关系。

关键词: 风险投资网络社群, 信息传播, 认知临近性

Abstract:    The transformation of Chinese industrial structure has produced many emerging industries, then the venture capital can play a driving role. Based on the characteristics of network communities, this paper combines theoretical analysis and empirical test to make an in-depth analysis on the impact of network community structure change firm information dissemination resulting in community information dissemination changing.In this paper, China venture capital industry joint investment data of the CV (China Venture) source database was used to build a network community from January 1, 2006, to December 31, 2015. First, UCINET 6.560 was used to construct the VC network. Second, this paper uses the GN algorithm to extract the network community. This paper measures the network community with a three-year time window, for example in the 2006–2008 time windows we extract network community structure, and in the 2007-2009 time window investigate information dissemination, in the 2008-2010 time window calculate the performance, and so on. A total of 245 network communities were detected.First, basing on the structural analysis of cohesive subgroups, this paper proposes three dimensions (community cohesion, community status difference and community coordination) of the structure of venture capital network community. Two types of information dissemination (project information dissemination and experience information dissemination) are proposed according to the necessary information content for the existence and development of venture capital firms. Second, it is found that community cohesion has a negative effect on both types of information dissemination, while status difference and coordination have a positive effect on both types of information dissemination. The community cohesion has more significant influence on project information dissemination than community status difference, while community status difference has more significant influence on project information dissemination than community coordination′s. The influence of community cohesion and community status difference on the dissemination of empirical information is not significant, while the influence of community status difference on the dissemination of empirical information is more significant than that of coordination. Third, the cognitive proximity positively affects the relationship between community cohesion and two kinds of information dissemination. The cognitive proximity negatively affects the relationship between community status difference and the dissemination of two kinds of information, meanwhile negatively affects the relationship between the community coordination and the dissemination of two kinds of information. The practical significance of this paper found that the VC network community structure has a significant impact on the effect and effectiveness of information dissemination. Therefore, we could make full use of the community function to help establishing new firm or building relationships for firm that need to expand their investment areas, meanwhile acquire community membership identity. Further, a community structure will be built by establishing differentiated relationships based on the required information content, such as maintaining diversified contacts with other firms to ensure the credibility of information, actively establishing contact with well-known investment firms to acquire the latest experience and skills to promote their own development, and so on. Finally, the sustainable development of investment firm and even the Chinese VC industry are realized through the network community.

Key words: venture capital network community, information dissemination, cognitive proximity