Skip navigation
st. Mary's University Institutional Repository St. Mary's University Institutional Repository

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/6428
Title: DEVELOPING EXPERT SYSTEM TO SUPPORT CONSTITUTIONAL INTERPRETATION: THE CASE OF HOUSE OF FEDERATION
Authors: Jatgano, Tadesse
Keywords: Organizational Memory, Expert System, CI Expert System , Knowledge base, user Interface, Inference engine, Knowledge Management, Organizational Knowledge, Organizational Memory system, Knowledge Retention, Organizational memory and Information system
Issue Date: Jan-2021
Publisher: ST. MARY’S UNIVERSITY
Abstract: The beginning of this research indicate that there is poor knowledge exchange and sharing practices among employees and the management of EHoF. HoF is (CI Expert System) service provider is “ultimate arbiter” between Supreme Court (Constitutional right and legal right violators’) and Constitution right violated people in the Country, while it has no Knowledge management system. Today Knowledge management is observed as the most important tool surpassing other resources; like land and capital. Vital tacit knowledge, as well as rich expertise and experiences of the Organization’s Employees leaving an organization will also take the knowledge he/she has with him/her, these, huge knowledge resource was flows out and lost. Knowledge still be loss and not accessible in a modern way, this problem is caused by various factors, due to such as high turnover of employees in search of better job opportunity, insufficient salary, lack of recognition, resignations, and for carrier advancement and as well as death, etc., is various departments of EHoF. The current situation shows that the EHoF delays decisions for years causing people to lack justice; however, this study tried to demonstrate Research approach: This study follows qualitative research approach. Qualitative research approaches is inquiry in the natural setting, an exploratory study of experience-as-lived and everyday life in the world. These expertises were selected based on their experiences and their exposure to CI Expert System so that the richness of the data can be ensured and a different dimension can be derived with regard to the data collected. The interview was guided by an interviewee protocol consisting eleven (11) questions derived from prior studies conducted in the area of ES. Qualitative (Phenomenological) research Approach is preferred from other types of approach is Easy to collect data (e,g. data is collected y seeing, asking ad watching)
URI: .
http://hdl.handle.net/123456789/6428
Appears in Collections:Master of computer science
Master of computer science

Files in This Item:
File Description SizeFormat 
Tadesse Defence Correction & Thesis Paper Final.pdf2.7 MBAdobe PDFView/Open
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.