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The roles of knowledge complexity and location complexity for the structure of knowledge building in a global environment

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TitleInfo
Title
The roles of knowledge complexity and location complexity for the structure of knowledge building in a global environment
Name (type = personal)
NamePart (type = family)
Salmon
NamePart (type = given)
Jessica Rae
NamePart (type = date)
1985-
DisplayForm
Jessica Rae Salmon
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Cantwell
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John
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John Cantwell
Affiliation
Advisory Committee
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chair
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NamePart
Rutgers University
Role
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degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
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school
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Text
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theses
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DateCreated (qualifier = exact)
2017
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2017-10
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2017
Place
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xx
Language
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eng
Abstract (type = abstract)
Scholars have long studied the complexity of knowledge in innovation. More recently, research has begun to focus attention on the role of knowledge recombination as a way to understand knowledge complexity, knowledge growth, and evolutionary search. Yet little is known about knowledge complexity in the broad context of globalization. We build on knowledge recombination patterns in global innovation activities to develop our theory of the relationship through which earlier contributions to knowledge become inputs to subsequent knowledge building that generates more or less complex knowledge artifacts. We propose that knowledge complexity rises when recombined elements are sourced across two dimensions of distance, characterized by combining sources taken from disparate knowledge fields and distinct geographical locations. The study draws upon and compares three alternative ways of measuring the complexity of technological knowledge through patent data. This dissertation establishes two new methods for measuring complexity and adapts a third measure for wider applicability in research. Study 1 results show there no clear relationship between technological distance and complexity as measured through either co-classification or cross-classification data. We establish the growth of the ICT era has also facilitated increases in knowledge complexity while the turbulence from ICT is indirectly increasing knowledge complexity. We end this study with a direct comparison of two measures for knowledge complexity to establish which aspects of complexity each best reflects. In study 2, we find increasing knowledge complexity also increases locational complexity. Digging deeper we see there are divergent effects from the use of both knowledge complexity measures when investigating locational complexity which further establishes the uniqueness of each knowledge complexity measure. We further assess the representative distinguishing characteristics of each complexity measure. We also establish here that ICT is contributing to increasing locational complexity as ICT is a connector of both technology fields and geographic locations. In study 3 we examine the outliers of the relationships examined for each complexity measure.
Subject (authority = RUETD)
Topic
Management
Subject (authority = ETD-LCSH)
Topic
Knowledge management
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Title
Rutgers University Electronic Theses and Dissertations
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ETD_8294
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electronic resource
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application/pdf
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Extent
1 online resource (xv, 207 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Jessica Rae Salmon
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Title
Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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Identifier (type = doi)
doi:10.7282/T36T0QRS
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
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Salmon
GivenName
Jessica
MiddleName
Rae
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-08-16 14:07:52
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Name
Jessica Salmon
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
Type
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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
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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2017-10-10T13:43:37
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2017-10-10T13:43:37
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