The study assessed students’ satisfaction with the quality of library electronic information services during covid 19 pandemic at selected universities in Kenya. The study utilized a quantitative research design. A self-administered questionnaire with a five-point Likert-type scale was used to collect data from 360 undergraduate students from two selected universities in Kenya with a study population of 12000 undergraduate students. Data analyses were done using descriptive statistics, simple linear regression and partial correlation. The hypotheses were tested at 0.05 confidence level. The study findings demonstrate a significant positive relationship between SERVQUAL guided library electronic service delivery and student satisfaction, which means that an increase in electronic service quality will lead to an increase in customer satisfaction. The live chat service received a negative score but overall, electronic library services received a positive score which is an indication that library users appreciate the value of the electronic library services for their academic activities. The study identified smartphone as the most popular devise used to access electronic information services with 92% of the respondents using the device, the findings demonstrate the active role that smartphones are playing in formal learning and the various benefits students gain from smartphones. The study recommends design of mobile friendly library websites, transcription of the chart service to identify the frequently asked queries then create Frequently Asked Questions (FAQ) feature on the library website to help respond to the information needs of the users more quickly and incase the FAQ page already exist explore ways in which the FAQ page could be automatically linked to users following each chat request. The study also recommends integration of information literacy training with the regular curriculum. The findings of this study may be used by educational institutions to enhance the role of libraries in distance and online education.

One of the most important criteria for assessing a library is the level of satisfaction its users express with the service they get. The extent to which the library is able to anticipate user needs and integrate such predictions into collection development is a crucial aspect in influencing the level of satisfaction users have with the library's service. As a general concept, "user satisfaction" refers to how satisfied users are with a service or product they have used; as a more specific term, "library user satisfaction," it is used to describe how happy library patrons are with the library's collection and services. The study used a descriptive survey technique with a sample size of 288 postgraduate students randomly selected from four different Federal Universities in Northeast Nigeria. The data was collected by closed-ended questionnaire, and the resulting psychometrics include a CRV=1 and r-coefficient of 0.83. Frequency counts and percentages, together with chi-square tests at the 0.05 significance level, were used to examine the data. The study established that graduate students asked reference librarians for the same types of information but were dissatisfied with the level of service they received from librarians at their respective institutions. The results reveal a linear correlation between all the factors; therefore, it stands to reason that the chosen universities have the same information needs and levels of user satisfaction.

In Kenya, government expenditure has been changing tremendously in its composition and size. Noticeably, since Kenya’s independence, government expenditure has witnessed great expansion. However, the country has not achieved consistent economic growth for a long duration of time. Despite the increase in allocation of resources through increasing public spending, economic growth has not grown at the same rate. As such, economic growth did not consummate with the increase in allocation of resources through government expenditure. The study sought to determine the effect of education expenditure, defense expenditure, health expenditure and infrastructure expenditure on economic growth. It used an explanatory research design and secondary time-series data for the period between 1985 and 2018. Data on education expenditure, defense expenditure, health expenditure as well as infrastructure expenditure and economic growth was acquired from Kenya National Bureau of Statistics. The quantitative data was collected, edited and coded into Statistical software known as STATA version 14. Analysis of the quantitative data was based on descriptive as well as inferential statistics. Correlation analysis was employed to assess the strength of correlation between independent and dependent variables whereas regression analysis determined the weight of association between independent and dependent variables. Diagnostic test was performed to test for the regression model assumptions before carrying out regression analysis. The research focused on autocorrelation test, stationarity test, autocorrelation test, normality as well as heteroscedasticity test. The study revealed that education expenditure had a positive effect on economic growth in Kenya. The study found that defense expenditure had a positive effect on economic growth in Kenya. The results revealed that health expenditure had a positive effect on economic growth in Kenya. In addition, the study found that infrastructure expenditure had a positive effect on economic growth. The study concludes that government expenditure has a significant effect on economic growth in Kenya. The study policy implication of the study is that Kenyan government as well as policy makers should formulate policies and guidelines geared towards increasing education expenditure. This will help in ensuring adequacy in a trained, qualified and productive labor that is important in ensuring an improvement in economic growth. In addition, the government of Kenya should allocate at least 15 percent of their total expenditure to the healthcare so as to ensure a productive and healthy workforce. The government also needs to increase infrastructure funding as recommended by the World Bank to between 7 and 9 percent.