The unprecedented online learning that took place at several schools during the coronavirus disease 2019 (COVID-19) pandemic is predicted to continue on the same trajectory when learners return to classroom learning. Continuing with online learning implies that learners will spend most of their time learning and socialising online, which exposes them to cybersecurity risks. Hence, this study investigated strategies for securing the cybersafety of online learners at South African high schools. The study adopted an interpretivist approach, and qualitative data were collected from school teachers. Fifteen school teachers from five private high schools in Centurion, Pretoria, were interviewed, and the data were thematically analysed. All the schools were multiracial and English-medium schools. The teachers from the schools were selected to participate in the study because they had experienced online learning during the times of COVID-19. The study proposed cybersafety strategies that are centred around providing cybersafety policies, conscientising learners about cybersecurity risks (awareness), preventing cyberbullying, discouraging the consumption or production of inappropriate content and protecting learners from Internet addiction. Transdisciplinarity Contribution: The proposed practical strategies for securing the cybersafety of online learners are valuable for promoting safe and responsible use of Internet-connected devices in online learning. The strategies encourage schools to integrate Internet-connected technologies and overcome cybersecurity risks in online learning.

Background: This study was initiated by the fact that numerous mobile(m)-commerce applications for streamlining customer self-services remain unused on Application (App) stores or that they are briefly used and abandoned by the users. Unused applications can be considered as failed by customers; therefore, there is a need to understand how customers perceive m-commerce applications as successful. Objectives: To investigate the factors that inform how customers perceive m-commerce applications for streamlining self-services as successful. Method: Data were collected from customers of an m-commerce application for a telecommunication company in South Africa. An online survey constructed from the DeLone and McLean Information Systems Success model was used to collect data from a randomly selected sample of customers extracted from the telecommunication database. A total of 161 usable responses were received and quantitatively analysed. In total, nine hypotheses were tested to evaluate the success of the m-commerce application using the partial least-squares structural equation modelling (PLS-SEM) analysis. Results: The nine hypotheses were significant, indicating that the telecommunication m-commerce application can be viewed as successful. The results confirmed that system quality (SQ), information quality (IQ), service quality (SVQ), system use (SU), and user satisfaction (US) were factors that inform the successful deployment of an m-commerce application in this study. Conclusion: Successful m-commerce applications are essential to improve customer acceptance and use of m-commerce applications. Contribution: The study identified factors that are perceived as valuable by the customer, which service providers should implement to provide successful m-commerce applications.

The Internet of Things (IoT) is an important emerging technology that enables (usually) pervasive ubiquitous devices to connect to the Internet. Medical and Healthcare Internet of Things (MHIoT) represents one of the application areas for IoT that has revolutionized the healthcare sector. In this study, a review of literature on the adoption of MHIoT for diabetes management is conducted to investigate IoT application in the monitoring of diabetes, key challenges, what has been done, in which context, the research gap and thereby contributing to literature in the management of one non-communicable disease. The key findings reveal that developing nations are lagging despite the greater benefits of MHIoT in such resource-constrained contexts. The findings suggest that infrastructure costs, security, and privacy issues are most important in the adoption of MHIoT for diabetes management, and these need to be further investigated for maximum adoption of MHIoT. The opportunities presented by MHIoT surpass the challenges as healthcare costs are reduced in a resource-constrained context.