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Purpose – Effective knowledge management (KM) entails knowledge assessment capability to enable identification of knowledge assets and proper governance of value creation dynamics. Although some studies have attempted to use different methods to measure knowledge at the organisational level, few have addressed the individual knowledge holder. The purpose of this paper is to present a state-of-the-art framework, referred to as MinK, that enables organisations to measure individual knowledge in the business context using a novel diversity of indicators.
Design/methodology/approach – The model was developed based on a comprehensive conceptual framework. A pilot study composed of 20 semi- structured interviews elicited valuable feedback from practitioners and was followed by a validation phase in which an electronic questionnaire is used to survey a large sample of senior managers.
Originality/value – This paper contributes to the literature by presenting an innovative integrated individual knowledge measurement framework, and proposing a theoretical framework for the pivotal role of individuals in the organisational knowledge environment.
Practical implications – The model provides mangers with a valuable tool capable of identifying knowledge holders and supporting effective KM decision making to achieve optimal organisational performance. Results showed that the MinK framework was also well received by industry and accepted as a valid framework.
Ragab, M. A., & Arisha, A. (2014). The MinK Framework: Investigating Individual Knowledge Indicators. Proceedings of the International Forum on Knowledge Assets Dynamics (IFKAD), Matera, Italy. 11-13 June, 2014.