دانلود رایگان مقاله انگلیسی طراحی سیستم فازی برای گزینش استراتژی مدیریت دانش مطابق با مدل APO - امرالد 2018

Abstract

Purpose: Selection of knowledge management strategies (KMS) is one of the most important and effective factors in acquiring the competitive advantage and elevating the knowledge level of the organizations. Those organizations that have taken steps towards knowledge management necessarily need to pay utmost attention to the matter of KMS before taking any further steps in their activities. One of the effective ways in adopting the proper KMS is evaluating the knowledge management maturity level in the organization. The purpose of this article is designing an expert fuzzy system to adopt the KMS based on Bloodgood model in accordance with the maturity level of the organization. Methodology: In this method, with the help of expert fuzzy system, a model has been designed, by utilizing Matlab software, to adopt the KMS. The KM maturity level, tacit knowledge, and explicit knowledge are as inputs, and each one of Bloodgood’s KMS (production, transfer, and protecting the knowledge) are chose as outputs. To perform the system, the maturity level of knowledge management of an industrial organization that has been evaluated by the standard APO questionnaire is used as the input which has been given to expert fuzzy system. Then, considering the output of the system, KMS for the organization have been recommended. Results and findings: knowledge management maturity level of the organization is on level 4; considering the expert fuzzy system that has been designed, “knowledge production” strategy is recommended for the organization under study. Originality/ value: An expert fuzzy system has been designed regarding maturity of knowledge management and Bloodgood model that can be used as a guide for organizations and academic people as an appropriate practical model for selecting knowledge management strategies.

Conclusion

One of the concepts that is widely discussed in knowledge management is the related strategies. Organizations can selectthe proper KMS, and organize their resources and abilities to access the management goals of the organization. Maturity models describe the development of knowledge management during the time, so one of the effective factors in choosing the knowledge management strategy is recognizing the maturity level of knowledge management in the organization.

In this study, and expert fuzzy system was designed to help selection of KMS, and to evaluate the function of the expert fuzzy system The maturity level of knowledge management in an industrial organization was evaluated and was used as the input of the system.

The system that has been presented in this study is one of the first that have been designed with the purpose of choosing KMS by specifying the maturity level of knowledge management and the level of tacit knowledge and explicit knowledge.

The results of making use of fuzzy inference systems show how organizations can choose their knowledge management strategies or reform them through a fuzzy inference system. Since this model has been tested only in one organization, it is recommended that researchers run this selective system and evaluate the results in different organizations. The reasons for failure and success in this model can be evaluated after executing it in different organizations.