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.
Milk production is an integral part of Andassa agricultural farming system, even though the area has potential for milk and dairy products, there is always a great demand for milk and milk products among people. However there are no long-term researches done on the area for forecasting the volume of milk production. Therefore this study was attempted to investigate the trends of actual yield of cow milk production and forecast the volume of milk. A time series study was conducted on the volume of cow's milk production in Andassa dairy farm, and here we used secondary data for this study. The study employed inferential statistics for the purpose of hypothesis testing, estimating the trend, to fit the appropriate model and forecasting. A total of 179 days of milk production were included in this study, and the results showed that the trend of milk yield of caws is decreasing and it is time dependent. The model that has been selected for forecasting volume of milk production is ARIMA (1, 2, 1) since the model was found to be a better model.
Background Unhealthy lifestyles and physical inactivity are among the contributing factors of hypercholesterolemia. This study assessed the prevalence, awareness of risk factors, and prevention and treatment of hypercholesterolemia among adults who visited Woldia referral hospital, Northeast Ethiopia. Methods A cross-sectional survey was conducted among adults who visited Woldia referral hospital from May to August 2022. Data was collected using a structured questionnaire through a face-to-face interview and patient medical record review. Logistic regression analysis was employed to determine the association between hypercholesterolemia and other variables. A p-value at a 95% confidence level was statistically significant. Results A total of 1180 eligible adults were included in the study. The magnitude of hypercholesterolemia was 26.4%. The majority of the respondents were aware of some risk factors, such as higher fat intake (82.3%), obesity (67.2%), and lack of adequate exercise (56.1%). However, the majority of the respondents were not aware that smoking, alcohol consumption, and age (86.8% for all) had cardiovascular risk. The majority of the respondents were aware that eating a limited amount of saturated fat (56.5%), maintaining a healthy weight (67.2%), and taking prescribed medications properly (86.8%) can prevent the risk of hypercholesterolemia. However, a larger proportion of respondents were unaware that smoking cessation (86.8%), exercise (55.3%), alcohol restriction (86.8%), and stress avoidance (75.3%) can prevent cardiovascular risks. Age (p = 0.036), smoking (p = 0.007), alcohol use (p = 0.013), fruit consumption (p = 0.019), saturated oil use (p = 0.031), level of physical activity (p < 0.001), and body mass index (p = 0.03) were significantly associated with hypercholesterolemia. Conclusion This study concluded that more than one-fourth of adults had hypercholesterolemia. The majority of the respondents did not have an awareness of common cardiovascular risk factors and prevention and treatment techniques regarding unhealthy lifestyles and physical inactivity.
Agriculture is a confirmed path to success. No region of the world has developed a diverse, modern economy without first establishing a successful foundation in agriculture. Food security is an enduring critical challenge in Ethiopia. The 2015 El Niño drought is one of the strongest droughts that have been recorded in Ethiopian antiquity. The study aims to evaluate the impacts of climate change and fertilizers applied on barley yield per hectare from 1987 to 2017 using an autoregressive distributed lag to cointegration approach. The mean barley yield was 11.47 quintal per hectare. The Long run bounded test for cointegration among the variables show signal of a long-run relationship with a short run among climate change, fertilizers applied and barley yield per hectare. Based on the value of adjusted R 2 , the explanatory variables explained almost 76% of the variation in the yield of barley. In the long run estimates every 1% rise in current average dap decrease the yield per hectare of barley by 28.76% at citrus paribus and a 1% rise in current precipitation and rainfall increase the yield of barley by 2.768% and 0.41% respectively keeping the effect of one variable to the other constant. The speed of adjustment is -0.381557 which is highly significant indicating the speed of the adjustment back to the long run equilibrium after a short run shock.
A dairy is a place that is used for handling milk and milk products. Dairy products are basically based on milk. Milk is used to prepare dairy products, such as butter, cheese, and milk powder. There is always a great demand for milk and milk products among people. This study attempted to investigate the trends in the actual yield of cow’s milk production at Andassa dairy farm. We used secondary data for the study of the daily milk production of cows at Andassa dairy farm. The specific objectives of the study were—to identify whether the milk production is time-dependent or not; to predict in which season the milk production is high or low; to examine the daily trend analysis of milk production; to fit the appropriate model; and to forecast the milk production for the future. The study was conducted based on quantitative variables. So, the dependent variable is the average daily milk, and the independent variable is the time measure at which milk production is measured each day. The study used both descriptive and inferential statistics to analyze the data that were collected from the dairy farms in the sector. This study covered a total of 179 days of milk production. The results reveal that the milk yield of cows is declining, and that milk output is time-dependent, according to the time series plot, and that the model is ARIMA.
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