Browsing by Author "Mekonnen, Solomon"

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    Assessment of Employee’s performance Appraisal Practice: The Case of Abay Bank S.C
    (Addis Ababa University, 2016-06) Mekonnen, Solomon; Mekonnen, Worku (PhD)
    This study tried to assess the practice of employees’ performance appraisal in Abay Bank S.C. The researcher has used descriptive research method. The data collection tools were interview and questionnaire. Total of 191 employees have been taken as a sample and the response rate was 96.33%. The researcher has used proportionate stratified sampling method. 22, 151 and 18 questionnaires were distributed among non-clerical, clerical and management employees respectively. The study found out that Abay Bank uses PA to measure employees’ job performance on January and July. The bank does not follow formal appraisal process and the performance standards of the bank addresses issues such as quantity, quality, timelines, cost effectiveness and strategic relevance but it fails to address stability or consistency or the extent to which individuals tend to maintain certain level of performance over time. Abay Bank also faces huge problems on its performance appraisal practice, most of them are rater’s error like recency, halo/horns, situational influence etc and the remaining is the problem of the system. The HR department of the bank takes the ultimate responsibility for appraisal and supervisors take the lion share by filling appraisal forms for most of the employees. The appraisal result in Abay Bank used only for making promotion, bonus payment and annual increment decisions. Performance review discussion does not take place in the case company unless an employee comes up with grievances. Generally the outcome of the research confirmed that the performance appraisal practice of Abay Bank S.C. has problems and weaknesses that need to be improved. Since it needs improvement, possible recommendations are outlined at the end of this report.
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    The Integration of Information Communication Technologies in Promoting the Teaching-Learning Process: College of Business and Economic, Addis Ababa University in Focus
    (Addis Ababa University, 2015-06) Mekonnen, Solomon; Abera, Berhanu (PhD)
    This study was designed to assess the overall integration of lCTs in the College of Business and Economics in AA U It aimed to find out whether or not lCTs based instruction was practiced as per benefit of technology Specifically. the study examined the current status of lCTs in the teaching learning process of the College. attitude of instructors to accept and integrate lCTs in their activities and the challenges of instructors to use lCTs in their profession. Both primary and secondary data were gathered using four different instruments namely; questionnaire. interview, observation and documentary source. Quantitative and qualitative techniques were employed to analyze the data obtained. The attitude of instructors to wards to ICTs integration in the teaching learning process has been measured and the result has discussed. The participants believed and affirmed that lCT empowers the professional level of comfort in their activities. All respondents have justified the importance of ICTs in their academic excellence adding value. The results of the study revealed that the current situation of lCTs integration in the teaching learning process in the CBE is at the initial stage. Based on the results recommendations were forwarded among; Distribute Laptop to all instructors without discrimination. Many instructors were not benefiting lCTs as part of the teaching learning process. On the other hand, there are some instructors with adequate level of lCTs use. Regarding training. no ICTs. especially computer based training has been facilitated so far in the College for the purpose of teaching learning activities to the instructors. Keywords: lCTs, integratioll of ICTs, instrllctionaltec/tnology, conventional illstrllctioll
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    Word Sense Disambiguation for Amharic Text: a Machine Learning Approach
    (Addis Ababa University, 2010-06-09) Mekonnen, Solomon; Mulugeta, Wondwossen (Ato)
    The theme of this thesis is Word Sense Disambiguation (WSD) for Amharic which addresses the problem of automatically deciding the correct sense of an ambiguous word based on its surrounding context. WSD is essential for many applications like Machine Translation and Information Retrieval. For the purposes of this research, we report experiments on five selected Amharic ambiguous words. A corpus based approach to disambiguation is used, where machine learning techniques are applied to a corpus of Amharic sentences so as to acquire disambiguation information automatically. A total of 1045 English sense examples for the five ambiguous words are collected from British National Corpus (BNC) and the sense examples are translated to Amharic using dictionary. The sense examples are manually annotated and preprocessed to make it ready for experiment. Corpus based approach suffers from the so-called knowledge acquisition bottleneck. It needs large quantities of sense examples to learn disambiguation rules .This is very challenging for linguistic resource-deficient languages like Amharic. Naive-Bayes classifier is employed from Weka 3.62 package in both the training and testing phases to perform the supervised learning on the preprocessed dataset using 10-fold cross-validation. We have evaluated the classifiers for the five ambiguous words and achieved accuracy within the range of 70% to 83% which is very encouraging but further experiments for other ambiguous words and using different approaches needs to be conducted.