Browsing by Author "Tesfaye Ayalew"

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    The Factors of Resistance to Organizational Change Management Process: A Case Study at Ethiopian Revenue & Customs Authority (ERCA)
    (Addis Ababa University, 2015-10) Tesfaye Ayalew; Bekele Teshome
    In this paper, the factors of resistance to organizational change management are studied in view of the Lewin’s three phase model of change process. The coefficients of fifteen sources of resistance were the critical cancers and were weighed against which sources of resistance presents higher disparity of impact in the phases of the change process. One hundred fifty questionnaires were distributed randomly in ERCA, Addis Ababa. A unidirectional logit regression of odds ratio and marginal function analysis was used to get a finding that age and gender are not predictors to resistance, while education and experience are negatively and positively predictors respectively. It is also found that a variable factor can have varied significance level in the unfreezing, moving and refreezing phases of change a process. In this regard vulnerability driven factor was the highest significant factor in the first two phases while managerial incapability driven factor in the last phase of change management process.
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    The Effect of Credit Risk on the Financial Performance of Commercial Banks: Evidence From Selected Private Commercial Banks In Ethiopia
    (A.A.U, 2022-02-07) Tesfaye Ayalew; Habtamu Berhanu
    Banks are the biggest and foremost financial institutions that constitute the lion’s share of economic growth and development in both rich and poor countries around the world. To realize this, they need to maintain stable, continual and reliable financial performance through mitigating any form of risk in general and credit risk in particular since credit risk has profound effect bank profitability. As a result, the basic purpose of this investigation was to analyze the relationship between credit risk and bank profitability and recommend possible solutions. Accordingly, a ten year data (2011-2020) from seven sample private commercial bank’s secondary data were taken and analyzed. The result of econometrics regressions revealed that at 95% confidence interval credit risk measures (included in this study capital adequacy ratio, nonperforming loan ratio and loan loss provisions) have significant effect on performance measure return on equity keeping bank size constant. Eventually, the findings of the research concluded that significant correlation is existed between credit risk and bank profitability. Hence, the study has recommended that banks regarding to these predictive factors, need to develop efficient credit administration strategy to maintain trustful financial performance.
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    The Effect of Credit Risk on the Financial Performance of Commercial Banks: Evidence From Selected Private Commercial Banks In Ethiopia
    (A.A.U, 2022-02-07) Tesfaye Ayalew; Habtamu Berhanu
    Banks are the biggest and foremost financial institutions that constitute the lion’s share of economic growth and development in both rich and poor countries around the world. To realize this, they need to maintain stable, continual and reliable financial performance through mitigating any form of risk in general and credit risk in particular since credit risk has profound effect bank profitability. As a result, the basic purpose of this investigation was to analyze the relationship between credit risk and bank profitability and recommend possible solutions. Accordingly, a ten year data (2011-2020) from seven sample private commercial bank’s secondary data were taken and analyzed. The result of econometrics regressions revealed that at 95% confidence interval credit risk measures (included in this study capital adequacy ratio, nonperforming loan ratio and loan loss provisions) have significant effect on performance measure return on equity keeping bank size constant. Eventually, the findings of the research concluded that significant correlation is existed between credit risk and bank profitability. Hence, the study has recommended that banks regarding to these predictive factors, need to develop efficient credit administration strategy to maintain trustful financial performance.