Massachusetts Institute of Technology
Analyzing VC influence on startup success : a people-centric network theory approach
Abstract
dc:description.abstractIn this thesis, we study the impact of venture capitalists on startup success using social network analysis. Using multiple sources, we compile a unique dataset of 3199 US-based technology startups and their board members, from which we generate and analyze the interlocking directorates network (formal network) and Twitter network (informal network). We find that startups with more VC board members are more central in the formal network, receive greater funding, have greater annual sales, yet a smaller return-on-investment. We also find that VCs are more central in the Twitter network than non-VCs, have greater Twitter popularity, yet tweet significantly less. Our results indicate that VCs carry a considerable amount of financial and social capital, which they transmit to the startups they invest in, yet their participation leads to lower startup ROI. Additionally, our dataset enabled us to investigate more general questions regarding startup success, including gender diversity on startup boards..
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2017
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hadley, Beth M
- Advisor dc:contributor.advisor
-
- Peter Gloor.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/113149
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/113149