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Network positions and processes : = Evidence from U.S. private equity.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Network positions and processes :/
Reminder of title:	Evidence from U.S. private equity.
Author:	Rider, Christopher I.
Description:	1 online resource (127 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 71-01, Section: A.
Contained By:	Dissertations Abstracts International71-01A.
Subject:	Studies. -
Online resource:	click for full text (PQDT)
ISBN:	9781109096446

Network positions and processes : = Evidence from U.S. private equity.
Rider, Christopher I.

Network positions and processes :Evidence from U.S. private equity. - 1 online resource (127 pages)

Source: Dissertations Abstracts International, Volume: 71-01, Section: A.

Thesis (Ph.D.)--University of California, Berkeley, 2008.

Includes bibliographical references

This dissertation examines positions in inter-organizational networks and the processes that determine those positions. Chapter Two of this dissertation develops a theory of why some organizations, but not others, are represented by brokers. I propose that in the presence of substantial altercentric uncertainty brokers prefer to represent prominent organizations, but the value an organization places on representation is inversely related to the organization's prominence. I consequently predict that neither those organizations that brokers would most like to represent nor those that most value representation are most likely to be represented by a broker. Accordingly, empirical analyses of U.S. private equity fundraising reveal that the likelihood that a broker represents a firm's venture fund first increases and then decreases with the firm's prominence in the industry co-investment network. This curvilinear relationship is more characteristic of venture than non-venture funds, presumably because altercentric uncertainty is more severe in venture fundraising. However, more reputable brokers tend to represent more prominent firms. These findings reveal how brokers' efforts to capitalize on entrepreneurial opportunities are constrained by market social structures and how constraint is moderated by a broker's market reputation. Chapter Three of this dissertation develops a theory of how inter-organizational relationships are embedded in the prior education and employment networks of organizational members. I propose that if organizations access valuable information on potential partners via these networks, then two organizations will be more likely to form a relationship if their members share more prior education and/or employment affiliations. Empirical analyses of U.S. private equity investments demonstrate that the more prior education and/or employment affiliations shared by two organizations' members, the more likely the organizations are to co-invest in the same round of financing. Moreover, shared prior affiliations attenuate the effects of two factors that typically reduce the likelihood of a co-investment relationship forming: geographic distance and strategic dissimilarity. These findings reveal how social structures of non-market (i.e., higher education) and market (i.e., labor markets) settings are reproduced in markets. In sum, this dissertation offers insight into how organizations arrive at network positions and, therefore, informs the study of network evolution.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9781109096446Subjects--Topical Terms:

1437762
Studies.
Subjects--Index Terms:

BrokerIndex Terms--Genre/Form:

554714
Electronic books.

Network positions and processes : = Evidence from U.S. private equity.
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520 $a This dissertation examines positions in inter-organizational networks and the processes that determine those positions. Chapter Two of this dissertation develops a theory of why some organizations, but not others, are represented by brokers. I propose that in the presence of substantial altercentric uncertainty brokers prefer to represent prominent organizations, but the value an organization places on representation is inversely related to the organization's prominence. I consequently predict that neither those organizations that brokers would most like to represent nor those that most value representation are most likely to be represented by a broker. Accordingly, empirical analyses of U.S. private equity fundraising reveal that the likelihood that a broker represents a firm's venture fund first increases and then decreases with the firm's prominence in the industry co-investment network. This curvilinear relationship is more characteristic of venture than non-venture funds, presumably because altercentric uncertainty is more severe in venture fundraising. However, more reputable brokers tend to represent more prominent firms. These findings reveal how brokers' efforts to capitalize on entrepreneurial opportunities are constrained by market social structures and how constraint is moderated by a broker's market reputation. Chapter Three of this dissertation develops a theory of how inter-organizational relationships are embedded in the prior education and employment networks of organizational members. I propose that if organizations access valuable information on potential partners via these networks, then two organizations will be more likely to form a relationship if their members share more prior education and/or employment affiliations. Empirical analyses of U.S. private equity investments demonstrate that the more prior education and/or employment affiliations shared by two organizations' members, the more likely the organizations are to co-invest in the same round of financing. Moreover, shared prior affiliations attenuate the effects of two factors that typically reduce the likelihood of a co-investment relationship forming: geographic distance and strategic dissimilarity. These findings reveal how social structures of non-market (i.e., higher education) and market (i.e., labor markets) settings are reproduced in markets. In sum, this dissertation offers insight into how organizations arrive at network positions and, therefore, informs the study of network evolution.
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