Measurement of analytical knowledge-based corporate memory and its application

In the current knowledge-driven economy, businesses are increasingly required to function as knowledge-based organizations. In these organizations, knowledge usually serves as the means for attainment of competitive advantage. It is clear that organizational knowledge has to be carefully managed, and knowledge management measurement is important to businesses. In this paper, corporate memory (CM) is viewed as an organization memory for managing knowledge. Generically and concretely, CM is constructed using analytical knowledge (AK), which is defined as the knowledge formatted with 5W1H (who, when, where, what, why, and how). AK is extracted from data storage systems and domain experts by aggregating information, where data analysts, knowledge workers, and knowledge users are involved in a knowledge discovery process. The research objective of this study is to propose a measurement approach, which provides a generic and applicable methodology for measuring the performance and quality of CM. To represent the uncertainty and fuzzy terms in the evaluation environments, and to explicate the invisible impact induced by information technology (IT), the fuzzy set theory is applied. An effective procedure is also proposed to apply the measurement approach in practice. Highlights? A generic and applicable approach for measuring the performance and quality of CM ? The fuzzy set theory and the S-shaped logistic model are employed. ? A definite and effective procedure is able to support the measurement in practice. ? The method is able to manage knowledge and then develop strategies in businesses. ? The method facilitates the development of strategies for intellectual capital.