Digital literacy is a critical skill that administrative staff must acquire to continue their business activities at higher education. However, digital literacy studies for administrative staff seem to be neglected in the current literature. This article examines the impact of higher education administrative staff’s digital literacy on their intention to use digital technologies while performing their tasks. For this purpose, a conceptual model consisting of effort expectancy and performance expectancy structures based on the unified theory of acceptance and use of technology and expanded with the digital literacy dimension has been created. Data were collected from 158 participants who were administrative staff of two higher education institutions in Türkiye to evaluate the theoretical model. The data were analysed using the structural equation modelling technique. The findings revealed the relationship between the digital literacy skills of higher education administrative staff and their intention to use digital technology. According to the results, digital literacy has a direct effect on effort expectancy but not on performance expectancy. Also, contrary to our expectations, digital literacy does not directly affect the intention to use. However, digital literacy affects the intention to use digital technology through effort expectancy and performance expectancy. In higher education, personnel with low digital literacy skills should be identified and in-service training should be provided. This is one of the first studies to address the impact of digital literacy on technology acceptance by administrative staff working in higher education.

Purpose: This study primarily examines the mediating effect of perceived usefulness and perceived ease of use on the relationship between trust and mobile banking use. Methodology: For this purpose, university students studying at different levels at a state university in Turkey were chosen as the research population and the data were collected through a field study using a convenience sampling method and a face-to-face survey technique. SEM data analysis was conducted by using SPSS v20 and AMOS v20. Results: The findings revealed a direct and positive relationship between the trust factor and mobile banking platform usage, and that the factors of perceived usefulness and perceived ease of use have a partial mediating effect in this relationship. Conclusion: As a result, it is predicted that many different factors affect user preferences in the use of mobile banking platforms, these factors directly or indirectly affect compliance, adoption, and use, and it is necessary to focus more on these factors for the future of banking with the effect of digitalization.

Gambling is a problem that has dated back to early history, across the world and in most cultures. Gambling behavior has a lot of negative health, social and environmental effects. The purpose of t...

The recent explosive expansion of online buying has made it necessary to carefully identify the critical variables influencing customer behaviour and attitudes regarding online shopping. Although internet sales have increased globally since the pandemic began, little is known about the variables influencing this behaviour. This study aims to identify the variables affecting adults over 15 in Türkiye’s e-commerce use before and during the COVID-19 pandemic. The study used micro datasets from the Household Information Technologies (IT) Usage Survey conducted by the Turkish Statistical Institute in 2018 and 2021. Additionally, the multinomial probit regression analysis was employed. According to the study, it was concluded that as people age, their likelihood of engaging in e-commerce decreases. The study found that individuals with a higher level of education are more likely to use e-commerce. Furthermore, it found that individuals who use e-government services engage in e-commerce more frequently than others. The study’s findings may help inform academics and decision-makers about promoting e-commerce during emergencies, such as pandemics in developing nations, to increase the volume of e-commerce shopping in Türkiye.

This study aims to determine the factors affecting the happiness levels of older individuals in Türkiye during the COVID-19 pandemic. The microdata set from the 2020 Life Satisfaction Survey conducted by the Turkish Statistical Institute was utilized, involving 1,863 individuals aged 60 and above. The relationship between happiness levels and various factors was investigated using the chi-square independence test, and the factors affecting happiness were further analyzed through generalized ordered logistic regression. According to the generalized ordered logistic regression model, participants in the 60–64 age group are 10.1% less likely to report happiness compared to those aged 65 and older. Men are 4.3% less likely than women to report happiness. Furthermore, individuals with no formal education and those with primary school education have a 14.4% and 9.4% higher likelihood of happiness, respectively, compared to university graduates. The literature on happiness demonstrates the relationship between different factors and happiness. This study determined that such factors as gender, age, educational status, source of happiness, health satisfaction, hope scale, and homeownership have an impact on the happiness levels of older individuals. The amount of societal support provided to older individuals can be an indicator of their level of happiness.