AN EMPIRICAL-BASED TAXONOMY OF COLLABORATIVE TECHNOLOGIES SUPPORTING INTELLIGENCE ANALYSIS

Ying-Hsang Liu and William Voon
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Ying-Hsang Liu: School of Communication, Information and Library Studies, Rutgers University, 4 Huntington Street, New Brunswick, NJ 08901, USA
William Voon: School of Communication, Information and Library Studies, Rutgers University, 4 Huntington Street, New Brunswick, NJ 08901, USA

Chapter 56 in Knowledge Management:Nurturing Culture, Innovation, and Technology, 2005, pp 643-654 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThis paper reviews collaborative technologies from cutting-edge research projects that support the intelligence analysis. Using the collaboration in knowledge management literature as reference point, a content analysis of representative documents of intelligence collaboration systems reveals three major components of collaborative technologies (knowledge discovery, decision-making tools, and collaborative environment), together with the dimensions of agents and time. The empirical-based taxonomy applied to intelligence collaboration work is demonstrated. The potential areas of application of question representation in information retrieval and knowledge-based systems, and the applicability of a collaborative information retrieval search tool as inputs to decision-making tools are discussed.

Keywords: Knowledge Management; Knowledge Sharing; Knowledge Discovery; KM Tools and Technologies; Communication and Organization Culture (search for similar items in EconPapers)
Date: 2005
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