AHP-Driven Knowledge Leakage Risk Assessment Model: A Construct-Apply-Control Cycle Approach
Haley Wing Chi Tsang,
Wing Bun Lee and
Eric Tsui
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Haley Wing Chi Tsang: Knowledge Management and Innovation Research Centre, The Hong Kong Polytechnic University, Hong Kong
Wing Bun Lee: Knowledge Management and Innovation Research Centre, The Hong Kong Polytechnic University, Hong Kong
Eric Tsui: Knowledge Management and Innovation Research Centre, The Hong Kong Polytechnic University, Hong Kong
International Journal of Knowledge and Systems Science (IJKSS), 2016, vol. 7, issue 3, 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.
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jkss00:v:7:y:2016:i:3:p:1-18
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