Nowadays, when executives talk about "knowledge management", the discussion is usually prompted by the problem of big data and analytics. Of course, this is not surprising. Extraordinary amounts of complex, rich data on customers, operations, and staff are now available to most managers, but it is difficult to turn that data into useful knowledge. In today's world, knowledge is regarded as one of the essential assets of any organization and organizations invest heavily in the acquisition, creation, storage, conversion and updating of knowledge. It is thought that if the right experts and the right tools are used for this volume of data, we will have tremendous strategic information. In fact, the ever-changing business environment has led organizations to increasingly strive to promote knowledge and make optimal use of organizational knowledge as a competitive advantage. In this regard, the knowledge management system and its infrastructure play a significant role in maintaining and updating the knowledge-based assets of the organization and valuable experiences of its role in the organization's performance have been reported. However, investing and deploying a knowledge management system in an organization requires that the factors affecting its success in an organization be properly identified and appropriate programs are developed to foster it, especially given the different organizational culture of development. to be given. In the present article, the problem of identifying these factors was presented based on the experience of implementing a knowledge management system in the research community, namely Iranian companies. In this paper, the neural network was used as a reference for deciding on the importance of these factors due to its ability to discover the relationships between available data.
کلید واژگان :Knowledge Management System, Neural Network, Evaluation, Company, Organization
ارزش ریالی : 600000 ریال
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