Browsing by Author "Mahlet Getachew"

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    Emotional Intelligence, Perceived Leadership Behavior and Job Efficiency: The Case of Ethiopian Trading Businesses Corporation
    (Addis Ababa University, 2024-05) Mahlet Getachew; Mitku Hambisa (PhD)
    This study investigates the interplay between employee emotional intelligence, perceived leadership behavior, and sector level job efficiency within the Ethiopian Trading Business Corporation (ETBC). The primary objectives of the study are to assess employees' emotional intelligence levels, analyze the interrelations among these variables, test the hypotheses that both emotional intelligence and leadership behavior positively impact job efficiency, compare these variables across different demographic groups, and discuss the implications for organizational behavior and human resource management theory, practice, and policy. Data were collected from employees across various sectors of ETBC in Addis Ababa using a convenient sampling technique and stratified random sampling. A total of 272 respondents (168 males and 104 females) participated, with data gathered through a survey questionnaire measuring employees emotional intelligence, perceived leadership behavior, and job efficiency. Data analysis was conducted using SPSS version 27, employing descriptive statistics, Pearson correlation coefficient, regression, and multivariate analysis of variance. Findings indicate that employees at ETBC exhibit moderate levels of emotional intelligence, with higher scores in emotional sensitivity and understanding compared to well-being, self-control, and sociability. There was no significant correlation between emotional intelligence and leadership behavior. However, emotional intelligence showed a significant positive correlation with job efficiency, suggesting that higher emotional intelligence is associated with better job performance. Leadership behavior also correlated positively with job efficiency, indicating that effective leadership enhances task efficiency. Together, emotional intelligence and leadership behavior accounted for 43.2% of the variance in job efficiency. Demographic analysis revealed significant differences across sectors, with Corporate Logistics employees showing lower emotional intelligence scores compared to other sectors. Age also influenced job efficiency, with older employees exhibiting different performance levels, likely due to varying experience and skills. Other demographic factors, such as gender, education level, marital status, experience, and work position, had no substantial impact on the studied variables. Additionally, ETBC employees demonstrate moderate emotional intelligence, particularly in emotional sensitivity and understanding. Transformational leadership behaviors are prevalent, especially in intellectual stimulation and idealized attributes, while transactional leadership behaviors focus heavily on task monitoring and control. Passive/avoidant leadership behaviors are present but not dominant. These findings emphasize the importance of enhancing emotional intelligence and leadership behaviors to improve job efficiency, with particular attention to sector-specific and age-related differences. Keywords: Employees Emotional Intelligence, Perceived Leadership behavior, Sector level job efficiency
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    The Impact of Customer Segmentation on the Performance of Banks: the Case of Awash Bank
    (A.A.U, 2025-05-19) Mahlet Getachew; Tewdros Wuhib( Asst. Professor)
    This study investigated the effect of customer segmentation strategies on the performance of banks, with a particular focus on Awash Bank. The general objective was to assess how various segmentation approaches beyond the traditional demographic methods impact customer satisfaction, loyalty, retention and overall performance. To achieve this, the research adopted a quantitative approach, employing a descriptive and explanatory research design. The study attempted to consider various dimensions of customer segmentation, ranging from behavioral, psychographic, demographic, geographical, and technological segmentation. From the findings of the data analysis, it is safe to conclude that behavioral segmentation has relatively the most impact on the performance of the Bank, followed in sequence by geographical, psychographic, and behavioral segmentation. Specifically, the unstandardized beta coefficients for these segments were found to be statistically significant, indicating that employment of those segmentation techniques has strong correspondence with improved bank performance. In contrast, demographic and technological segmentation have relatively limited impacted compared to other dimensions of segmentation signaling a more integrated customer segmentation approach which combines multiple dimensions of segmentation. The study revealed that customer segmentation approach which integrates the various dimensions of customer behaviors, preferences and choices has direct correlation with the performance of banks and banks well beyond demographic segmentation need to focus as well on behavioral, psychographic, and geographical segmentations as derivers of performance improvement. The approach would allow banks to tailor their products, services, and promotions more effectively, leading to better customer interaction, satisfaction, and overall growth. Banks also need to are investment in revisiting their customer segmentation approaches through ongoing data analysis so that they can better understand the evolving customer choice and behavioral tendencies to deliver their products and services in a more effective and productive manner. Keywords: Customer segmentation, commercial, bank performance, regression analysis