Specialists, Generalists, or Both? Founders' Multidimensional Breadth of Experience and Entrepreneurial Ventures' Fundraising at IPO
成果类型:
Article
署名作者:
Souitaris, Vangelis; Peng, Bo; Zerbinati, Stefania; Shepherd, Dean A.
署名单位:
City St Georges, University of London; University of St Gallen; University of London; Birkbeck University London; University of Notre Dame
刊物名称:
ORGANIZATION SCIENCE
ISSN/ISSBN:
1047-7039
DOI:
10.1287/orsc.2022.1581
发表日期:
2023
页码:
557-588
关键词:
Entrepreneurship
social categories
trust
摘要:
Different streams of research have led to contradictory conclusions about the venture performance implications of founders' breadth of experience. Although extant empirical studies have explored the performance implications of founders' breadth of experience at the start-up stage, we focus on the later stage of the initial public offering (IPO). We theorize that investors categorize venture founders based on two salient dimensions-their industry and functional background-and we relate this categorization to resource acquisition at IPO. To test our model, we use a hand-collected data set of 175 entrepreneurial IPOs in the Alternative InvestmentMarket in London (2002-2013) and two randomized experiments. We theorize and find that compared with entrepreneurial ventures with a lead founder specializing in one industry or one function, investors generally devalue those with a category-spanning lead founder (a generalist). However, devaluation is less severe when a lead founder is a generalist in one dimension (e.g., industry) but a specialist in the other dimension (e.g., function). We also theorize and empirically test trust as a mechanism for the generalist penalty. Specifically, audience members (investors) have low trust in a generalist producer (founder) in contexts where the two parties consider entering into a partnership (equity investment at IPO), and so that generalist producer is devalued. Finally, we show that an external expert endorsement-in our case, from intensive venture capital affiliations-offsets the generalist penalty, especially when category spanning occurs inmultiple category dimensions.