The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Getting Off to a Good Start: The Effects of Upper Echelon Affiliations on Underwriter Prestige
Abstract
The initial public offering (IPO) is one of the most critical events in the lifetime of a young firm. Prior research has shown that firms tend to have successful IPOs if they go public with the endorsement of a prestigious lead underwriter. This paper examines the antecedents to receiving endorsement by a prestigious underwriter and links this to the experience base of a firm's upper echelon. We theorize that the amount and type of upper echelon experience serve as important symbols of a young firm's legitimacy to critical outsiders. We introduce a typology of upper echelon experience that distinguishes between upper echelon upstream, horizontal, and downstream employment-based affiliations and suggest that these different types of upper echelon affiliations allay different types of endorser concerns regarding firm legitimacy, affecting the endorsement process. Further, we theorize that the relationships between upper echelon experience and investment bank prestige will be moderated by technological uncertainty. We test our assertions on a comprehensive sample of public and private biotechnology firms that were founded between 1961 and 1994 and that went public between 1979 and 1996. Analyses of the five-year career histories of the over 3,200 executives and directors that make up the upper echelons of these firms show that firms with upper echelons with affiliations with prominent downstream organizations (i.e., pharmaceutical and/or healthcare companies) and with prominent horizontal organizations (i.e., biotechnology companies) are more likely to attract the endorsement of a prestigious investment bank. We also find that the greater the range of upper echelon affiliations across the categories of upstream, horizontal, and downstream affiliations, the more prestigious the firm's lead underwriter. We also find that these latter results are moderated by technological uncertainty. The present research has implications for the study of organizational legitimacy, interorganizational endorsements, and entrepreneurship.
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Citations
Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Burt, R. S. (1992) · doi:10.4159/9780674029095 · Cited by 9,093
Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology
Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996) · Administrative Science Quarterly · doi:10.2307/2393988 · Cited by 8,499
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Power in Top Management Teams: Dimensions, Measurement, and Validation
Finkelstein, S. (1992) · Academy of Management Journal · doi:10.5465/256485 · Cited by 2,389
What do venture capitalists do?
Gorman, M., & Sahlman, W. A. (1989) · Journal of Business Venturing · doi:10.1016/0883-9026(89)90014-1 · Cited by 1,371
Models for Sample Selection Bias
Winship, C., & Mare, R. D. (1992) · Annual Review of Sociology · doi:10.1146/annurev.so.18.080192.001551 · Cited by 812
Cited by
Ownership as a form of corporate governance
Connelly, B. L., Hoskisson, R. E., Tihanyi, L., & Certo, S. T. (2010) · Journal of Management Studies · doi:10.1111/j.1467-6486.2010.00929.x · Cited by 389
Entrepreneurship in digital platforms: Anetwork‐centric view
Srinivasan, A., & Venkatraman, N. (2018) · Strategic Entrepreneurship Journal · doi:10.1002/sej.1272 · Cited by 331
Metadata
- Authors
- Higgins, M. C., & Gulati, R.
- Venue
- Organization Science
- Published
- 2003-06
- Volume
- 14
- Issue
- 3
- Pages
- 244-263
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W4251988103
- Cited by
- 429
- References
- 7
- FWCI
- 37.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Higgins, M. C., & Gulati, R. (2003). Getting Off to a Good Start: The Effects of Upper Echelon Affiliations on Underwriter Prestige. Organization Science. https://doi.org/10.1287/orsc.14.2.244.15160
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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