City Research Online

The relational antecedents of project-entrepreneurship: Network centrality, team composition and project performance

Ferriani, S., Cattani, G. and Baden-Fuller, C. ORCID: 0000-0002-0230-1144 (2009). The relational antecedents of project-entrepreneurship: Network centrality, team composition and project performance. Research Policy, 38(10), pp. 1545-1558. doi: 10.1016/j.respol.2009.09.001

Abstract

The relational antecedents of project-based enterprises have not yet received systematic investigation. These ventures are typically created by individual freelancers who are usually embedded in networks of collaborative relationships that convey the information and resources required to carry out new projects. Using a relational perspective of entrepreneurial discovery and team composition, we analyze the performance determinants of project-entrepreneurs, namely the individuals who are responsible for launching and carrying out those projects. We argue that project-entrepreneurs’ performance is related to their degree of centrality within the social network, and their familiarity with the selected project-team as captured by the distribution of ties among team members. We test our hypotheses within the Hollywood Film Industry over the period 1992–2003. The findings point to the existence of diminishing returns to centrality and performance benefits from assembling teams that combine old-timers and newcomers. The theoretical contributions and implications of the study are discussed.

Publication Type: Article
Additional Information: © 2009 Published by Elsevier B.V.© 2009 Published by Elsevier B.V.This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
Publisher Keywords: Project-entrepreneur, Network centrality, Team composition, Commercial performance, Feature film industry
Departments: Cass Business School > Management
URI: http://openaccess.city.ac.uk/id/eprint/19257
[img]
Preview
Text - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (344kB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login