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In this ever-growing competitive banking industry, understanding the effect of electronic banking service quality on customers’ satisfaction and loyalty is the secret to being competitive and successful in the sector. In Ethiopia, measuring service quality in the banking sector is a new paradigm. The primary purpose of this research was to examine the effect of electronic banking (e-Banking) service quality on customer satisfaction in Ethiopia’s emerging banking industry. Data were obtained using a closed-ended structured questionnaire from a total of 385 participants selected using a convenience sampling technique. Frequencies, percentage distributions, group modes, standard deviations, Chi-square correlations, and multinomial logistic regression were employed to analyze the quantitative data. The results confirmed a significant effect of the variables responsiveness, reliability, security and privacy, speed, and convenience on customer satisfaction. Similarly, customer satisfaction with the electronic banking service quality has a significant effect on customer loyalty. System availability, easiness to use, and service charge, on the other hand, have no statistically significant impact on customer satisfaction. Hence, based on the findings of this study, it is recommended that banks should focus on the factors related to responsiveness, reliability, system availability, and speed to maximize customer satisfaction and loyalty. The adoption of electronic banking service that offers a meaningful guarantee takes care of problems promptly, provides services precisely as promised, is always available and quick delivery enables customers to be better satisfied and thus create committed and loyal customers.

Innovation in micro and small enterprises is widely regarded as one of the most important sources of sustainable competitive advantage with an embedded purpose of performance improvement in an increasingly changing environment. This study aimed to examine the effect of innovation on the performance of micro and small manufacturing firms in selected towns of Awi Zone, Amhara, Ethiopia. The target population of the study was 643 micro and small manufacturing firms in Injibara, Dangila, and Tilili; a number provided by Awi zone enterprise development office data during 2021. Data were drawn from a sample of 247 manufacturing firms using cross-sectional primary data collected from wood and metal manufacturing firms in selected towns of Awi Zone. The study adopted descriptive and explanatory designs and used correlation and multiple linear regression analysis to estimate the effect of innovation on firm performance. The regression results revealed that product, process, marketing and organizational innovation were positively and significantly related to firm performance, while product innovation was found to have a strong positive effect on the dependent variable firm performance followed by process and organizational innovation, respectively. However, a weak statistical relationship was reported between marketing innovation and the performance of manufacturing firms than other variables. Hence, firms which have a strong orientation towards product, process, organizational and marketing innovation have better performance in manufacturing firms in the study area.

The paper aims to analyze firm-specific deterrents of innovation in Bahirdar city MSEs in Ethiopia. In order to attain the objective of the study, both descriptive and explanatory research method is used. In this paper, the data were drawn from 310 MSEs firms which were selected by using a simple random sampling technique. The data were analyzed using descriptive and inferential statistics which include mean, standard deviation, and binary logistic regression model. From the model summary, independent variables that were incorporated under the current study, contributed 69.6% of the deterrents of innovation in MSEs as represented by the Nagelkerke R-square. This means that those variables explain about 69.6% of the deterrents of innovation of MSEs, whereas other factors not covered in this study contributed 30.4% to the deterrents of innovation. The results have revealed that research and development are the most critical deterrent factor affecting technological innovation of MSEs at a 1% level of significance. Besides, cost of innovation and firm size factors are the next important deterrent factors affecting technological innovation of the enterprises, followed by human resource factors. Contrarily, variables such as organizational culture and perceived risk factors have not been statistically significant and less likely to affect innovation of MSEs in the current study. The government and other stakeholders need to work hard to encourage innovation among MSEs by providing support, including an increased supply of credit, training, technology support, and provision of micro and small enterprise information services.

Businesses and organizations that fail to fully understand attitudes towards female as managers will limit their success. For organizations, uncovering employee's attitudes about the ability of female to serve in managerial positions will affect the extent to which female are trained and developed for managerial positions or are assigned to supervisors who will encourage them and serve as mentors. Thus, the study aimed to examine socio economic determinants of attitude towards female mangers in private and public banks: a case of Bahir Dar city. The demographic information of employees was independent variables and attitudes towards female mangers was the dependent variable of the study. A total sample of 238 employees was selected by employing probability random sampling method. Enumerator administered schedule that has three sections was distributed to all the selected employees to collect the necessary primary data. Stratified sampling technique was used at the time of data collection. Descriptive and inferential statistical tools such as; frequency tables, percentages, means, standard deviations, and multiple regression were used to data analysis. The value of adjusted R Square obtained were 0.663, demonstrates that 66.3 percent of attitude variation towards female managers can be explained by the independent variables. Based on the statistical analysis, the variables namely gender, age, education level, and direct experience have found a significant influence on attitude towards female managers. The result indicates that significant differences were found on the basis of the above mentioned variables. However, no significant influence on attitude towards female managers were found on the basis of marital status and sector type of the employees.