مقاله انگلیسی رایگان در مورد طراحی سیستم فازی خبره برای گزینش استراتژی مدیریت دانش – امرالد 2018

One of the most important assets of each organization is knowledge which can bring about stability and profitability for the organization. Competitiveness of organizations in today’s world entails proper utilization of knowledge; a lot of organizations have stepped towards trying to better take advantage of knowledge. Knowledge management is the area that organizes these endeavors as well as materializing them, and its presence as one of the methods to achieve favorable performance and being competitive is essential. Organizing knowledge management activities and having a plan for successful performance of the activities regarding knowledge management are of utmost importance; commensurately, in order for the organizations to compete in succeed in ups and downs there is the need for making use of adaptable and smart strategies which cover the processes of knowledge management (Philsoophian et al,2016) Knowledge management strategies specify the knowhow for the organization on how to use their knowledge resources as wells their capabilities (Choi & Lee, 2003, Mehralian et al, 2012); proportionally, recognizing the knowledge management strategy is of great necessity for the organizations to differentiate. One of the most effective factors in choosing correct and systemic strategy for knowledge management is recognizing the maturity on a surface level (Akhavan et al, 2017). Thus, by recognizing the maturity level of knowledge management in an organization, one can codify different knowledge management strategies and distinguish a better conformity among them for the organization. Limited and disorganized studies have been done regarding adopting the strategy for the organization form KM perspective. Despite all that has been done regarding knowledge management strategy, few studies have explored maturity level through an expert fuzzy system. Fuzzy logic has been recognized as one of the computational tools which is used for modeling decision support systems (Samuel et al, 2013). Therefore, a fuzzy logic derived from decision support system to choose the knowledge management strategy based on the maturity level of the organization is designed. In this system of fuzzy inference, levels of maturity of knowledge management, tacit knowledge, and explicit knowledge are as input, and the output is Bloodgood knowledge management strategy type. Also, after recognizing the maturity level of knowledge management in the organization under study and inserting it into the expert fuzzy system, knowledge management strategy which suits the organization has been recommended. To evaluate the maturity level of the organization under study, APO framework has been used for implementation. This is a prescriptive framework that introduces the different steps for implementation of knowledge management. This framework has been designed for Asian countries and is more adaptable to these countries considering the culture and can be implemented in many organizations. The framework that has been used to evaluate the maturity level has offered the standard questionnaire as the means of evaluation. Also, by referring to Bloodgood in this study, its practicality in comparison with the other models, and considering the experts’ point of view, this model was adopted as the basis.