http://ir.bdu.edu.et/handle/123456789/1792 2026-08-27T19:24:28Z http://ir.bdu.edu.et/handle/123456789/16963 Electric Vehicle Adoption in Ethiopia: A Cross-Sectional Study of Purchase Intention and Satisfaction with Attitude and Perceived Value Mediations, and Environmental Concern and Government Incentive Moderations Aniley, Gubay Despite Ethiopia‘s abundant renewable energy and rising fuel prices, electric vehicle (EV) adoption remains low due to inadequate infrastructure, technological uncertainty, and limited consumer awareness, leaving key drivers of public attitudes, potential buyers‘ intention, and user satisfaction less understood. This dissertation aims to investigate determinants and to map the research landscape in Africa. Methodologically, the dissertation employs a survey design comprising (i) three quantitative studies using survey data collected from Addis Ababa and analyzed through PLS-SEM, and (ii) two bibliometric reviews (2004–2024) using Bibliometrix and VOSviewer to assess Ethiopian and African EV research trends. The first empirical study surveyed 394 potential buyers using Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model; the second surveyed 347 respondents applying Theory of Planned Behaviour (TPB) and Technology Acceptance Model (TAM) to assess public attitudes; and the third analyzed 326 EV users basing Consumer Satisfaction Theory (CST) and Expectation Confirmation Theory (ECT,) and incorporating perceived value and government incentives as mediators and moderators respectively. Findings show that performance expectancy and social influence significantly shape adoption intention, while effort expectancy is insignificant and price value has a modest effect. Meanwhile, public attitudes are strongly driven by performance and social influence. Moreover, user satisfaction is enhanced by charging infrastructure; price negatively influenced users‘ satisfaction, and perceived value ha as full mediated role on performance. Government incentives moderated the relationship. The Bibliometric analysis shows a rapid global rise in EV research but limited researches in Ethiopia and Africa. The study strengthens the theoretical foundations of UTAUT2, TAM, TPB, CST, and ECT in emerging-economy contexts while providing practical, actionable insights for policymakers on infrastructure development, incentive design, and awareness strategies. Future research should broaden coverage, apply mixed-methods and integrate emerging variables. 2026-01-01T00:00:00Z http://ir.bdu.edu.et/handle/123456789/16962 DETERMINANTS OF FARM MECHANIZATION AND ITS CONTRIBUTION TO PRODUCTION EFFICIENCY, POVERTY REDUCTION, AND FOOD SECURITY: EVIDENCE FROM THE ARSI ZONE, ETHIOPIA MENGESHA, GIZACHEW Recent empirical studies on farm mechanization highlight its significant role in transforming the livelihoods of rural smallholder farmers. Mechanization enhances productivity and efficiency, reduces post-harvest losses, enables deeper ploughing, and allows for more precise input application. It also reduces labor intensity, making it possible for households to reallocate labor toward education and non-farm activities, thereby improving overall household welfare. Nevertheless, mechanization may negatively affect farm diversification and nutritional security, issues often underrepresented in policy discourse. In response to these complexities, this study was initiated to investigate the determinants and impacts of mechanization on production efficiency, multidimensional rural poverty, and food and nutrition security in Ethiopia’s Arsi Zone. To achieve this, data were gathered from 413 randomly selected households between June and August 2023. Primary data were collected through household surveys, focus group discussions, and key informant interviews, while secondary data were sourced from relevant institutions. The analysis employed a range of quantitative models, including multivariate probit, Tobit, ESR, CESR, ESRpo, IV fractional probit, PSM, and MESR, to ensure robust and comprehensive insights. Descriptive analysis revealed that 59% of households use combine harvesters, 51% use tractors, and 40% adopt both, with labor shortages and productivity gains cited as primary drivers. According to the multivariate probit and Tobit models, education, access to credit, and cooperative membership significantly increased both adoption and intensity of mechanization, whereas land fragmentation and crop diversification negatively influenced uptake. The MESR model demonstrated that mechanization, whether adopted individually or jointly, substantially improved wheat technical efficiency, boosted productivity, and reduced poverty. Moreover, ESR results indicated a 70% increase in the likelihood of higher income for adopters, while CESR and ESRpo models revealed a 43% increase in food security likelihood and a 23.86% reduction in HFIAS scores, thereby affirming mechanization’s role in supporting Sustainable Development Goals such as “No Poverty” and “Zero Hunger.” However, results from the IV fractional probit and PSM models showed that mechanization significantly reduced agricultural diversification among mechanized farmers, as indicated by PSM result declines in the Agricultural Diversification Index (−0.0993), Crop Diversification Index (−0.119), and Livestock Diversification Index (−0.0789), which has important implications for dietary diversity. Based on Multitreatment Endogenous Switching Regression, diversification in the absence of mechanization improved dietary diversity (HDDS) by 0.761 units (t = 4.15) and food consumption scores (FCS) by 5.60 units (t = 12.60), while diversification in mechanized households increased HDDS by 0.65 units and FCS by 1.41 units, both significant and positive. However, mechanization improved food access for non-diversified households (FCS + 1.15, t = 2.224) but reduced dietary diversity (HDDS − 0.609, t = −5.985) and food consumption scores (FCS − 1.24, t = −4.16) among diversified households, indicating a potential trade-off between mechanization and nutrition. Based on these findings, the study concludes that mechanization adoption is a multifaceted process shaped by household assets and technology attributes. While mechanization improved rural households’ welfare, its interaction with diversification and nutrition warrants careful policy consideration. Mechanization policies should be accompanied by complementary measures that expand credit access, strengthen cooperatives, and improve extension services, while addressing potential adverse effects on diversification and nutrition. 2025-10-01T00:00:00Z http://ir.bdu.edu.et/handle/123456789/16961 DETERMINANTS OF CUSTOMER RETENTION IN ETHIOPIAN COMMERCIAL BANKS IN THE CASE OF BAHIR DAR BRANCHES FETENE, LIJADIS The general objective of this study is to examine the determinants of customer retention in Ethiopian commercial banks in the case of Bahir Dar branches with a view of the local banking industry market context. To attain this objective five factors namely quality customer service, trust, customer satisfaction, switching cost, and customer relationship were considered as predictors for the analysis of the study based on the review of related literature. Explanatory research design and quantitative approach were employed to analyze data. The hypotheses were tested on a sample of 366 out of 384 respondents of commercial banks customers giving a valid response of 95.3%. The data collection process was done using a self- administered questionnaire filled out by customers and it has taken place in different branch premises of the selected banks. The statistical package for social science (SPPS) V.26 .was used to analyze the data collected. Reliability analysis, correlation, and regression analyses were used to analyze the data. Based on adjusted R2 of the study independent predictors explain 67.9% of the variation in customer retention. Besides all independent variables (quality customer service, customer satisfaction, customer relationship, Trust, and switching cost have a significant correlation with the dependent variable “customer retention. The results of regression analysis also showed that all predictors have a significant influence on customer retention. In this case, trust, customer satisfaction, and switching costs were the major predictor of customer retention than the other two independent variables. Given these findings, recommendations were forwarded to the management of banks to focus and have in-depth insights on predictors of customer retention to develop and implement the appropriate policies and procedures to enhance the retention of their existing customers. 2023-06-01T00:00:00Z http://ir.bdu.edu.et/handle/123456789/16960 DETERMINANT OF KNOWLEDGE MANAGEMENT PRACTICES: THE CASE OF SELECTED PRIVET BANKS IN BAHIRDAR CITY. OSMAN, HAKIMA The main objective of this study is to examine the determinants of knowledge management practice in case of some selected private banks operating in Bahir Dar city. Quantitative research approach and explanatory research design with cross sectional data collection method were used. Six private banks were selected purposively based on operation experience, openness to technological advancement and new technology acceptance. A sample of 266 were selected by simple random sampling technique and questionnaires were distributed for each respondent. 242 questionnaires were filed appropriately and returned. The data were analyzed using descriptive and inferential analysis techniques. The result of correlation indicated all included independent variable have associate with the dependent variable and the overall result of r=.845. The study found that organizational culture, organization structure, information technology, human resource management practice and management support have significant and positive effect on knowledge management practice in case of private banks operating in Bahir Dar city. The model with these determinants was found to predict 70.8% of the variability of dependent variable leaving the remaining 29.2% to variables not included in this study. Finally the researcher recommends that improving organizational structure has the highest effect on the knowledge management practice. 2023-07-01T00:00:00Z