DocumentCode
715303
Title
Towards assessing the willingness of Intelligence analysts to contribute to Knowledge Management Systems (KMS) in highly classified environments
Author
Hambly, Robert J. ; Levy, Yair ; Seagull, Amon ; Nissen, Mark E.
Author_Institution
Grad. Sch. of Comput. & Inf. Sci., Nova Southeastern Univ., Fort Lauderdale, FL, USA
fYear
2015
fDate
9-12 April 2015
Firstpage
1
Lastpage
2
Abstract
Since September 11, 2001, the United States Government (USG) has possessed unparalleled capability in terms of dedicated Intelligence and information collection assets supporting the analysts of the Intelligence Community (IC). The USG IC has sponsored, developed, and borne witness to extraordinary advances in technology, techniques, and procedures focused on knowledge harvesting, knowledge sharing, and collaboration. Knowledge, within successful (effective & productive) organizations, exists as a commodity; a commodity that can be created, captured, imparted, shared, and leveraged. This poster will provide an overview of on-going research that addresses the challenge of maintaining strong organizational effectiveness and productivity through the use of Knowledge Management Systems (KMS). The main goal of this proposed study is to empirically assess a model to test the impact of the factors of reward, power, centrality, trust, collaborative environment, resistance to share, ease-of-using KMS, organizational structure, and top management support to inducement, willingness to share, as well as opportunity to contribute knowledge to a KMS on knowledge-sharing in highly classified environments.
Keywords
competitive intelligence; knowledge management; organisational aspects; KMS; USG IC; United States Government; collaborative environment; highly classified environments; information collection assets; intelligence analysts; intelligence community; knowledge harvesting; knowledge management systems; knowledge sharing; organizational effectiveness; organizational structure; Collaboration; Instruments; Integrated circuits; Mathematical model; Productivity; Terrorism; Testing; collaboration; knowledge management; knowledge sharing; resistance to sharing; trust; willingness to share;
fLanguage
English
Publisher
ieee
Conference_Titel
SoutheastCon 2015
Conference_Location
Fort Lauderdale, FL
Type
conf
DOI
10.1109/SECON.2015.7132889
Filename
7132889
Link To Document