Exploring the evolution of supporter networks in the creation of new organizations
Scott L. Newbert,
Erno T. Tornikoski and
Narda R. Quigley
Journal of Business Venturing, 2013, vol. 28, issue 2, 281-298
Abstract:
Networks are important to entrepreneurial success. However, most research in this area to date has merely addressed the what; namely, what types of networks enable success. We seek to extend this stream of research by answering the how and the why. In so doing, we elaborate on how entrepreneurs can develop their networks, arguing that in order to create new organizations, nascent entrepreneurs must acquire resources from an increasingly diverse set of relatively stronger and weaker ties throughout the emergence phase. We then hypothesize why this evolutionary path is effective across the various dimensions of tie strength. Analyzing data from the Panel Study of Entrepreneurial Dynamics I (PSED I) with multilevel random coefficient growth curve modeling, we find strong support for our hypotheses. We conclude by discussing the implications of our findings for both academics and practitioners.
Keywords: Nascent entrepreneurs; Organizational emergence; Panel Study of Entrepreneurial Dynamics (PSED); Supporter networks; Tie strength (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0883902612000924
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:jbvent:v:28:y:2013:i:2:p:281-298
DOI: 10.1016/j.jbusvent.2012.09.003
Access Statistics for this article
Journal of Business Venturing is currently edited by S. Venkataraman
More articles in Journal of Business Venturing from Elsevier
Bibliographic data for series maintained by Catherine Liu ().