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This study aims to explore the correlation between college students’ digital literacy and mental health and proposes a method based on Twin Support Vector Machines (TWSVMs) classification and chi-square validation correlation analysis. First, a group of college students’ digital literacy data was collected by designing and distributing questionnaires. The questionnaire covers multiple aspects such as digital skills, information literacy, and technology application, to comprehensively evaluate the students’ digital literacy level. The collected digital literacy data were classified using TWSVM to obtain the digital literacy assessment results. Next, the electroencephalogram (EEG) signals of the same group were collected, and the EEG signals were subjected to power spectral density (PSD) feature extraction and TWSVM classification model training to obtain the mental health identification results of each student. Finally, after obtaining the digital literacy assessment and mental health identification results, the chi-square validation method was used for correlation analysis to evaluate the linear relationship between the two. Through the analysis, we found that students with higher digital literacy were more likely to have good mental health. In comparison, students with lower digital literacy were more likely to have mental health problems. This study revealed a significant correlation between college students’ digital literacy and mental health, providing theoretical support and practical guidance for educators and mental health professionals. Improving students’ digital literacy will not only help their academic and career development but may also have a positive impact on their mental health, thereby promoting their overall development.

Information and technological skills instruction has been a lingering challenge for librarians and information professionals. Even though undergraduate incoming students to colleges and universities are a technology-savvy generation, evaluation of their Information Literacy (IL) and Technology Literacy (TL) skills might reveal a different situation. This research evaluates the familiarity and skills of the incoming class of undergraduate students of the College of Social Sciences at Kuwait University with Internet and other Social Media Networks (SMN). It seeks to investigate the relation to the educational background of the family and tries to ascertain the uses and means of accessing Internet and its various tools and practical implications on librarianship and the undergraduate curriculum.

The significance of digital transformation for small and medium-sized enterprises (SMEs), especially in the time of disruption, is frequently demonstrated by research. Nevertheless, not much consideration is placed on how digital transformation is experienced by SMEs. This study examines how SME digital transformation will be affected by CEOs’ digital literacy from a micro-foundation viewpoint. Utilizing survey data from 292 SMEs located in Indonesia, we evaluate a moderated mediation model. According to our research, CEOs’ digital literacy affects digital transformation through digital technology utilization. Additionally, CEOs’ gender further influence the association between CEOs’ digital literacy and digital technology utilization. Our work is among initial endeavors to assess the digital transformation among SMEs in an emerging nation such as Indonesia. Despite the urgent need for SMEs to digitally transform and the importance of CEOs’ digital capabilities in accelerating this process, none of the identified existing studies examines SME digital transformation from a micro-foundation perspective, specifically on the link between CEOs’ digital literacy and digital transformation and how digital technology utilization mediates this link, which makes this study unique.

The development of cryptocurrencies has altered traditional economic institutions and financial inclusion. This study investigates the complicated relationships between education, digital literacy, cryptocurrency views, and financial inclusion in virtual economies, addressing a key gap in comprehending the disruptive dynamics of emerging financial technologies. Undergraduate, postgraduate, and PhD students from private universities in Delhi NCR were polled using a standardized questionnaire with a 5-point Likert scale. According to the study, higher education boosts digital literacy, cryptocurrency opinions and financial inclusion. Although education is critical for financial inclusion, the link between positive attitudes about cryptocurrencies and financial inclusion remains uncertain. As virtual currencies expand, these results urge policymakers and educators to concentrate on digital literacy and positive attitudes in order to promote inclusive financial ecosystems.

This research aims to determine the prospects of personalizing consumer experience and enhancing the level of digital literacy in society through the utilization of artificial intelligence and machine learning in the practice of buying and selling goods and services. The research methodology is based on correlation and regression analysis. These methods are used to model the relationship between indicators characterizing the inclusiveness of the digital consumption society and the use of artificial intelligence and machine learning in the exchange of goods and services. Drawing on the international experience of the top 15 fastest-growing digital consumption societies in 2023 and IMD statistics, it is substantiated that the inclusiveness of the digital consumption society increases as the activity of using artificial intelligence and machine learning in the practice of buying and selling goods and services grows. The scientific novelty of the obtained results is explained by the fact that they have, for the first time, revealed the causal relationships between the use of artificial intelligence and machine learning in the practice of buying and selling goods and services and the inclusiveness of the digital consumption society. The authors revealed the potential for a wider application of artificial intelligence and machine learning in the trade of goods and services. Furthermore, they offered recommendations for realizing this potential. The practical significance of these recommendations lies in their ability to be employed within digital business strategies to increase sales and foster consumer loyalty. This will lead to increased availability of goods and services, reduced transaction costs, and increased efficiency in purchasing practices.

Many studies have suggested that financial literacy (FL) helps increase individual economic well-being, particularly by enhancing financial inclusion across countries. However, there is no consensus on measuring FL. Moreover, the rapid growth of digital financial services (DFS) due to the COVID-19 pandemic has continuously raised concerns that traditional FL is insufficient for individuals to access and use DFS effectively. In this study, we aim to investigate the impact of FL and digital literacy (DL) on financial management behavior (FMB), including spending, saving, borrowing, and investment. This research uses data from the responses of 377 Vietnamese. The results show that both FL and DL significantly impact FMB. In particular, FL and DL are positively associated with spending, saving, and borrowing — especially on digital platforms. However, the opposite trend is observed regarding individuals’ overspending and formal lending by banks. This investigation suggests policymakers should develop educational programs to increase both FL and DL to improve the FMB of the young generation.