An Expert Based Human Resource Management System in Dealing With Selection, Training and Performance Evaluation Measures the Case of Ministry of Capacity Building
| dc.contributor.advisor | Rao B.R.K. (Professor) | |
| dc.contributor.author | Alemu Yihun | |
| dc.date.accessioned | 2020-06-25T09:11:50Z | |
| dc.date.accessioned | 2023-11-18T12:46:43Z | |
| dc.date.available | 2020-06-25T09:11:50Z | |
| dc.date.available | 2023-11-18T12:46:43Z | |
| dc.date.issued | 2006-03 | |
| dc.description.abstract | In practice, management problems require a high skill of managing with inter disciplinary background combining social science, business and behavioral sciences. Effective human resource management system represents the essence of production efficiency, growth processes, transparency and predictability of production, getting additional profit due to proper and quicker decision-making, keeping equal employment opportunities, and so on. Today's human resource workers run most of the activities in the HRM system increasingly by consulting top executives and experts. With regard to Ethiopia, the process of human resource management is done manually under the control of committee members organized for the process, which is not an efficient method in measuring and evaluating an applicant's performance and skill. And consequently a number of problems are faced, like irregular evaluation mechanism, rater errors and personal bias, external influence of liking, and so on. Literature's suggest that the success of an organization lies down on experts engaged in joining the production with its management process. And to solve such and related human resource problem, using an appropriate technology based system is paramount. A knowledge based (Expert) systems is the one, which is appropriate in solving problems regarding human resource management. In an attempt to address such problems, the present study, specifically, explores the potentiality of applying expert systems technology in Human Resource Management problems specific to the Selection, Training and Performance evaluation measures for the Ministry of Capacity Building in Addis Ababa. The knowledge acquired from manuals and domain experts is represented using production rules. These rules are then implemented in the Knowledge Pro Gold expert system shell uSll1g back ward chaining inference mechanism. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/21850 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Information Science | en_US |
| dc.title | An Expert Based Human Resource Management System in Dealing With Selection, Training and Performance Evaluation Measures the Case of Ministry of Capacity Building | en_US |
| dc.type | Thesis | en_US |