
PurposeBased on the theory of social networks, it is crucial to enhance information superiority through joint venture capital (VC). The purpose of this paper is to explore the impacts of different roles’ structural and relational embeddedness on the information superiority of joint VC alliances.Design/methodology/approachThe authors design the multiple linear regression models to investigate the leader’s investment ratio from a network embeddedness perspective. Panel data analysis and robustness tests are adopted based on the data from Chinese VCs Database.FindingsThe results show that VC leaders enjoy information search advantages because of their better network positions, while their followers lack this superiority. Information sharing among investors and investees may enhance the influences of structural embeddedness on investors’ information search advantages. Joint VC’s scale and its number of leaders could also increase VC alliances’ information superiority.Originality/valueThis research provides a more holistic understanding of the formation of joint VC alliances’ information superiority from a social network perspective. Both VC managers and social planners can seek guidance from this study to implement better strategies and policies to promote information symmetry in the VC market.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
