Matchmakers or chaperones? How venture capital investors facilitate startups’ corporate venture capital partnership formation through aligning and disciplining
Shinhyung Kang,
Minji Kim and
Tohyun Kim
Journal of Business Research, 2024, vol. 185, issue C
Abstract:
Building upon the recent extension of resource dependence theory, this study examines how venture capital (VC) investors provide social defenses for startups by playing the role of matchmakers through the trust-based aligning effect and the role of chaperones through the power-based disciplining effect, encouraging them to form ties with established corporate venture capital (CVC) investors. We argue that the aligning effect stems from VC investors’ prior ties with CVC investors and is mitigated by the disciplining effect from their network centrality and coalition formation likelihood. In our empirical analysis of the IT industry in the United States between 2001 and 2015, we find support for our theory and hypotheses. The results also show that network centrality and coalition formation are not complementary but substitutable as coalition formation is less effective for more central VC investors.
Keywords: Resource dependence theory; Social defense; Sharks dilemma; Interorganizational relationship; Coalition formation; Corporate venture capital (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296324004326
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:185:y:2024:i:c:s0148296324004326
DOI: 10.1016/j.jbusres.2024.114928
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().