RUcore: Rutgers University Community Repository
A framework for managing contract human capital
Descriptive
TypeOfResource
Text
TitleInfo
Title
A framework for managing contract human capital
SubTitle
contract human capital engagement modes and human resource configurations
Identifier
ETD_1126
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050462a
Identifier
(type = doi)
doi:10.7282/T3HD7VX0
Language
LanguageTerm
(authority = ISO 639-3:2007);
(type = text)
English
Genre
(authority = marcgt)
theses
Subject
(authority = ETD-LCSH)
Topic
Personnel management
Subject
(authority = ETD-LCSH)
Topic
Human capital
Subject
(authority = RUETD)
Topic
Industrial Relations and Human Resources
Abstract
As contract human capital continues to grow and become a powerful force in the economy contributing to the success of many organizations, it is vital for researchers to enhance their understanding of how organizations engage and manage this component of their workforce. The goal of this study is to propose a framework that describes how organizations employ contract workers in terms referred to as contract human capital engagement modes, along with supporting HR configurations that can positively impact the performance of contract workers. A model is proposed that describes the strategic determinants of contract human capital engagement modes, and consists of two dimensions based on the levels of interdependency and criticality of the contract work, which provides a useful two-by-two matrix of four engagement modes called: project-based, knowledge-based, contract work and partnership. A second model consists of four HR configurations that are proposed to maximize the effectiveness of these four contract human capital engagement modes referred to as: productivity-based, knowledge-based, compliance-based, and collaborative-based. A field study was conducted and 26 companies were contacted, in which 9 agreed to participate. In total, 32 work groups were identified consisting of 150 contract workers and their managers. Thus, 300 surveys were distributed (150 contract worker and 150 manager surveys), of which 110 matched pairs (220 surveys) were received for a 73% participation rate. The results of this study indicate that both the levels of interdependency and criticality of contract work were significantly related to how organizations engage contract human capital. In addition, the level of criticality of the work being performed by contract workers was a significant factor impacting how they were managed. Lastly, the alignment of HR configurations and engagement modes had a significant positive impact on performance.
PhysicalDescription
Extent
vii, 53 pages
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references (p. 38-42).
Name
(type = personal)
NamePart
(type = family)
Castellano
NamePart
(type = given)
William G.
Role
RoleTerm
(authority = RULIB)
author
DisplayForm
William G. Castellano
Name
(type = personal)
NamePart
(type = family)
Lepak
NamePart
(type = given)
David
Role
RoleTerm
(authority = RULIB)
chair
Affiliation
Advisory Committee
DisplayForm
David Lepak
Name
(type = personal)
NamePart
(type = family)
Jackson
NamePart
(type = given)
Susan
Role
RoleTerm
(authority = RULIB)
internal member
Affiliation
Advisory Committee
DisplayForm
Susan Jackson
Name
(type = personal)
NamePart
(type = family)
Huselid
NamePart
(type = given)
Mark
Role
RoleTerm
(authority = RULIB)
internal member
Affiliation
Advisory Committee
DisplayForm
Mark Huselid
Name
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm
(authority = RULIB)
school
OriginInfo
DateCreated
(qualifier = exact)
2008
DateOther
(qualifier = exact);
(type = degree)
2008-10
Location
PhysicalLocation
(authority = marcorg)
NjNbRU
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
(type = local)
rucore19991600001
Genre
(authority = ExL-Esploro)
ETD graduate
Back to the top
Rights
RightsDeclaration
(AUTHORITY = GS);
(ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
RightsEvent
(AUTHORITY = rulib);
(ID = 1)
Type
Permission or license
Detail
Non-exclusive ETD license
AssociatedObject
(AUTHORITY = rulib);
(ID = 1)
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.
Back to the top
Technical
ContentModel
ETD
MimeType
(TYPE = file)
application/pdf
MimeType
(TYPE = container)
application/x-tar
FileSize
(UNIT = bytes)
348160
Checksum
(METHOD = SHA1)
f017b5d1abbd8669926bb3cc84509a61d8d8534a
Back to the top
Statistical Profile