A Logical based Framework for the Research on Knowledge Management

A Logical based Framework for the Research on Knowledge Management

Ke Han

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 354-360

School of Software, North China University of Water Resources and Electric Power, Zhengzhou, Henan, 450045, China

Nowadays, there are a lot of experiences that show no success in operationalizing knowledge management project in an organization despite using different means, indicating that huge sums have been wasted and sometimes the predicted objectives for organization have faced failure. The success or the failure of incorporating a knowledge management project depends on the specialized aspects as well as the non-specialized aspects which try to provide a comprehensive outlook about organizational, technical and specialized interactions for successfully incorporating knowledge management projects within enterprise. The existence of knowledge architecture (KA) has been always necessary for ensuring the successful operationalization of a knowledge management (KM) project. With regard to the deviations from classical architecting to large-scale architecting from one hand and the lack of an appropriate KA framework within large-scale area from the other hand, the developing of a conceptual framework for conducting KA within large-scale organizations would lead to the main aims of this paper. The initial structure of the framework was established based on the information architectural framework of Zachman. Then, we arrived at the ideal KA framework by adding service abstraction and architecture level dimension besides changing the field of all the cells within Zachman’s framework from information into knowledge. This research is descriptive in method and its validity is confirmed by executing a case study and soliciting the opinions of some KA experts. The results indicate feasibility of applying framework to other knowledge-intensive large-scale firms and the findings of paper may be beneficial for architects in the knowledge area.