Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104585
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Title: AHP-driven knowledge leakage risk assessment model : a construct-apply-control cycle approach
Authors: Tsang, HWC 
Lee, WB 
Tsui, E 
Issue Date: Jul-2016
Source: International journal of knowledge and systems science, July-Sept 2016, v. 7, no. 3, p. 1-18
Abstract: Intellectual Capital (IC) is becoming more widely understood by the academic and business communities, especially its important role in value creation of an organization. However, few people are aware that IC, if not managed properly, may also pose threats, sometime serious, to an organization. Knowledge leakage from an organization, for example, may come about when an experienced employee leaves for another job. Knowledge leakage is pervasive throughout an organization but is seldom noticed until the consequence is felt. This intellectual capital risk has to be systematically and effectively identified, assessed and controlled in the whole value chain of an organization. An AHP (Analytic Hierarchy Process) based multi-dimensional decision making and assessment model is developed to determine knowledge leakage risk in an organization.
Keywords: Analytical hierarchy process
Intellectual capital risk management
Intellectual capital risk
Intellectual capital
Knowledge assets
Knowledge loss
Knowledge management
Risk assessment
Publisher: IGI Global
Journal: International journal of knowledge and systems science 
ISSN: 1947-8208
EISSN: 1947-8216
DOI: 10.4018/IJKSS.2016070101
Rights: Copyright © 2016, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
The following publication Tsang, H. W., Lee, W. B., & Tsui, E. (2016). AHP-Driven Knowledge Leakage Risk Assessment Model: A Construct-Apply-Control Cycle Approach. International Journal of Knowledge and Systems Science (IJKSS), 7(3), 1-18 is available at http://doi.org/10.4018/IJKSS.2016070101.
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