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The antecedents of supply chain manufacturing joint ventures
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TitleInfo
Title
The antecedents of supply chain manufacturing joint ventures
SubTitle
a social network perspective
Name (type = personal)
NamePart (type = family)
Carnovale
NamePart (type = given)
Steven
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Steven Carnovale
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author
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Sengun
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Sengun Yeniyurt
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Advisory Committee
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chair
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NamePart (type = family)
Rogers
NamePart (type = given)
Dale S.
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Dale S. Rogers
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Advisory Committee
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internal member
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Lei
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Lei
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Lei Lei
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Advisory Committee
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internal member
Name (type = personal)
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Azadegan
NamePart (type = given)
Arash
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Arash Azadegan
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Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Carter
NamePart (type = given)
Craig R.
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Craig R. Carter
Affiliation
Advisory Committee
Role
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outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2014
DateOther (qualifier = exact); (type = degree)
2014-05
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
This thesis explores the role that various network constructs play in explaining partner selection in the formation of new supply chain manufacturing joint ventures. The overarching perspective of the thesis takes root in the idea that the structural properties of the network in which a firm is embedded are a significant explanatory mechanism in understanding supply chain manufacturing joint venture formations. This thesis draws from and extends the current understanding of social network and collaborative partnership theories by positing specific, theoretically driven hypotheses regarding various structural network characteristics such as ego network composition, measures of network centrality and network remoteness. This thesis further extends the current body of knowledge on supply chain joint ventures by comparing the joint venture formations of Original Equipment Manufacturers (OEMs) and Component Suppliers. Additional hypotheses regarding joint venture formations of domestic and international partners are also explored. In order to empirically test these hypotheses four econometric models are estimated: two discrete time event history analyses, with time-varying independent variables are used to estimate the effects of the ego network and structural network constructs on the probability of a new manufacturing Joint Venture being formed. Additionally, to test the varying effects of OEMs as compared with Component Suppliers, and International vs. Domestic joint venture formations, two separate multinomial logistic event history models with time-varying independent variables are estimated. Results provide empirical support for the role of network structure, at multiple levels, in mitigating the uncertainties of new equity based partnership decisions in global supply chain networks.
Subject (authority = RUETD)
Topic
Management
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5336
PhysicalDescription
Form (authority = gmd)
electronic resource
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application/pdf
InternetMediaType
text/xml
Extent
viii, 101 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Steven Carnovale
Subject (authority = ETD-LCSH)
Topic
Business logistics
Subject (authority = ETD-LCSH)
Topic
Joint ventures
Subject (authority = ETD-LCSH)
Topic
Production management
RelatedItem (type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier (type = local)
rucore10002600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3BK19M7
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Carnovale
GivenName
Steven
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2014-02-25 16:18:38
AssociatedEntity
Name
Steven Carnovale
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
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