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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Technical Shortcomings of Designing and Implementing a Knowledge Management System

Mohammadreza Hamidizadeh, Seyed Akbar Nilipour Tabatabaei, Maryam Gholizadeh

http://dx.doi.org/10.6007/IJARBSS/v4-i1/576

Open access

The purpose of the current research is to recognize technical shortcomings of designing and implementing a knowledge management system. The research population include two companies: Zobahan Esfahan Company and International Automation and Systems Engineering Company (IRISA) in which the staffs work in different departments such as research and development, method and structure, strategic planning, instruction, and information technology. applying a stratified random sampling, 50 samples were selected from totally 5560 ones. The questionnaire is consisted of two parts of demographics data and technical data which are based on the research model. This research will answer the question: "what is the influence of knowledge quality, system quality, and services quality on designing and implementation of a knowledge management system". The research hypotheses include triple areas of pathology (knowledge, system, and services) and its fourteen components which have been analyzed separately. Results of statistical tests show that a total average is high enough, a standard deviation is suitable, and a skewness is positive. Therefore, pathology is a little bit more than average. Generally, system’s pathology and services’ pathology are higher than average, however, knowledge’s pathology is lower than average. Applying a Friedman’s test, it was concluded that 14 components of pathology do not have an equal importance in establishing a knowledge management. Three areas of pathology (knowledge, system, and services) did not have an equal importance in design and establishment of a knowledge management system. All of suspected to be effective variables were entered into the model simultaneously, however, only ”gender” and ”familiarity with knowledge management” variables were recognized to be effective.

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