Predicting Trends, Seasonal Effects, and Future Yields in Cow’s Milk through Time Series Analysis

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

Examining the effect of electronic banking service quality on customer satisfaction and loyalty: an implication for technological innovation

Abstract 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