Abstract
Abstract This paper uses the data of China’s venture capital industry in the CVSource and Zero2IPO databases from 1999 to 2018 as a research sample. By using UCINET software to build the entire network of venture capital industry for social network analysis, I calculate the group tie density based on network interaction, status heterogeneity and faults based on network centrality, to analyse whether those group network characteristics affect the complementarity effect. Based on this, I use probit model regression test to carry on an examination.
Highlights
In recent years, an increasing number of interorganisational networks have developed, from a simple bilateral relationship to multilateral consociations that involve many parties [1]
The results show that the coefficient of the interaction term of the group tie density and complementarity is significantly positive (β =0. 476, p
Based on the social network theory, I calculate the network ties and network centrality at the industry network level and explore (a) the group tie density based on relational embedding and (b) the status-based difference based on structural embedding
Summary
An increasing number of interorganisational networks have developed, from a simple bilateral relationship to multilateral consociations that involve many parties [1]. Since a multilateral alliance involves multiple organisations, it shows more complexity and differences in its dynamics than bilateral alliances [2], such as group differences and cooperation complexity [1, 3,4,5]. A multilateral alliance includes other members outside the bilateral relationship, and the organisation considers cooperation with several partners at the same time and adjusts its behaviour . Unlike the bilateral perspective, the multilateral perspective includes group-level constructs, such as the overall density of the network tie among members and the structural differences among groups [5,6]. Different researchers have different perspectives on the division of social network dimensions, their division criteria are mainly based on the two aspects of structural and relational dimensions, according to Tichy et al [7] ISSN 2444-8656 doi:10.2478/AMNS.2020.2.00005
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