A Fuzzy Logic-Based Knowledge Management Performance Measurement System for SMEs

ABSTRACT To improve a knowledge management (KM) initiative, its effectiveness and performance has to be evaluated so that the area which is deficient can be improved. Yet, there is a lack of knowledge management performance measurement (KMPM) systems and this is apparent in the case of small and medium enterprises (SMEs), as most of the studies have focused on large organizations. Furthermore, KM is characterized by an environment subject to uncertainties and fuzziness, thus there is a need to adopt a specific approach to address this issue. Hence, this article intends to present the development of a KMPM system using a fuzzy logic methodology specifically for the SME sector. MATLAB and Simulink were used to develop the KMPM system and case studies were conducted in three small and medium-sized consultancy companies to evaluate it. The case studies showed that the developed KMPM system is suitable for SMEs and further improvement was made to the system.

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