AHP-Driven Knowledge Leakage Risk Assessment Model

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.

Evaluation of Operational Knowledge Risks in SMEs – Using a Grey-Dematel Technique

“…It uses grey-DEMATEL technique by building upon Temel and Durst's (2021) work title "Knowledge risk prevention strategies for handling new technological innovations in small businesses", focusing on some of the operational risks outlined by the authors. There are few studies that have examined the causal relationship among knowledge risks by using taxonomy (Durst and Zięba, 2018;Temel and Durst, 2020;Hammoda and Durst, 2022) and other types of Multi-Criteria Decision Analysis (MCDA), such as total interpretive structural modeling (TISM) (Foli, 2022) and analytic hierarchy process (AHP) (Tsang et al, 2016). For, example, Foli (2022 establishes the inter-and multi-relationship among potential knowledge risks within an ICT-supported collaborative project.…”