Date of Award
Spring 2012
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Engineering Management & Systems Engineering
Committee Director
Rafael Landaeta
Committee Member
Resit Unal
Committee Member
C. Ariel Pinto
Committee Member
Gokay Sursal
Abstract
This dissertation investigates factors that influence effective use of Knowledge Management (KM) in Counter Improvised Explosive Device (C-IED) operations in the military.
The study suggests that effective KM program is determined by the interaction of three organizational capabilities: knowledge infrastructure, knowledge process, and leadership orientation.
A self-administrated survey was conducted on 300 NATO staff officers who have served in C-IED environments. A structural equation modeling technique was used to test a set of hypotheses using 118 completed responses collected from the survey.
The results suggest that out of the 11 constructs within the model; two are rated as 'attribute needs immediate attention' (i.e. Culture and Traditional Leadership Capability), eight are rated as 'attribute needs further enhancement' (i.e. Overall Organizational Capability, Knowledge Process, Knowledge Infrastructure, Acquisition, Transfer, Application, Structure and Transformational Leadership Capability) and one is rated as 'attribute runs satisfactorily' (i.e. Technology).
Additionally, the study identified a set of factors that military leaders and commanders should consider before undertaking any KM programs. The results of this research have particular value to engineering management researchers and practitioners operating in military domains because it proposes, empirically tests and justifies a conceptual model that explains KM in C-IED operations in the US military.
DOI
10.25777/3g61-r014
ISBN
9781267324979
Recommended Citation
Gencer, Umit.
"An Analysis of Factors Affecting the Effective Use of Knowledge Management in Counter Improvised Explosive Device (C-IED) Operations"
(2012). Doctor of Philosophy (PhD), Dissertation, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/3g61-r014
https://digitalcommons.odu.edu/emse_etds/83
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