Sustainable learning and education (SLE) is a relatively new ideology based on sustainability principles and developed in response to the United Nations’ recently proclaimed Sustainable Development Goals (SDGs). As a result, technologies should be adopted to equip educational institutions with the tools necessary to attain SLE. Recently, the coronavirus (COVID-19) pandemic has affected educational systems globally, leading them to embrace more innovative technological methods to meet academic demands while maintaining SLE principles. Mobile learning apps (MLA) refers to using the unique capabilities of mobile apps to engage and collaborate towards establishing robust online learning. However, the effectiveness of MLA depends on learners’ acceptance. Therefore, the purpose of this study is to investigate the factors that could affect MLA acceptance. In order to analyze the collected data from 415 Jordanian students among schools and universities, structural equation modeling (SEM) was used. The empirical findings confirm that perceived usefulness and perceived ease of use are significantly influenced by self-efficacy and perceived compatibility. Furthermore, perceived usefulness is significantly influenced by perceived convenience and perceived ease of use. Additionally, perceived enjoyment significantly influences the behavioral intention to use MLA. On the other hand, perceived compatibility has no significant influence on perceived enjoyment. Finally, perceived ease of use, perceived usefulness, and perceived compatibility have no significant effect on behavioral intention to use MLA. This study addresses a critical research gap in the distance learning acceptance literature by proposing an exhaustive model in the post-COVID-19 era that can help to improve students’ performance and outcomes in Jordanian schools and universities.

This study evaluated the relationships among variables in electronic customer relationship management (e-CRM) success. The purpose of this paper is to examine the effect of technological readiness, privacy, COVID-19, customer pressure, trust, level of service quality, and customer satisfaction. Quantitative research methods were applied in examining the causal associations among the primary variables of the study. We used a sample approach called purposive sampling. Data was obtained from 390 completed questionnaires collected from employees, who took part in CRM technology activities, working in Jordanian firms. Data was analyzed via AMOS software version 22, and hypotheses were examined by applying structural equation modelling (SEM). Results revealed that technological readiness, COVID-19, customer pressure, and customer satisfactions had a positive effect on e-CRM success system. Moreover, the study showed that technological readiness, privacy, and level of service quality positively affected customer satisfaction. Additionally, the mediation of customer satisfaction on the association between trust and success of e-CRM system, and also between level of service quality and e-CRM system success, was demonstrated. Practical implications: In practice, this study can help managers and practitioners in implementing e-CRM systems. Moreover, it can drive further empirical studies on the relations among technological readiness, privacy, COVID-19, customer pressure, trust, and level of service quality, besides customer satisfaction. Only few studies had looked into the variables in the success of e-CRM system, in emerging industries of developing countries, specifically, among technological readiness, privacy, COVID-19, customer pressure, trust, level of service quality, and customer satisfaction. These gaps were addressed in this study. The current model is also relatively constrained, so it may be expanded in further studies. For instance, the construct of culture might be incorporated to the model to make it more thorough in its examination of the topic at issue.

Designing Context-aware Mobile Patient Monitoring Frameworks (CMPMF) is an emerging study in the biomedical informatics domain. However, literature on this topic is fragmented: first, there are no categories in the literature to characterize these CMPMF; second, there are no success factors that must be satisfied to enhance the design of these CMPMF; third, there is a need for a research agenda that provides a foundation for further research and development to enhance the design of these CMPMF. To address this gap, this paper is a review of context-aware frameworks in general and a systematic review of 10 designed context-aware frameworks in the biomedical informatics domain. Consequently, in this paper, three results are provided. First, a number of categories to be used to gain an intensive and extensive understanding of the designed CMPMF are identified. Second, a set of success factors, called Factors of Successful Context-aware Application Frameworks (FSCAF) are identified, to be used to enhance the design of CMPMF. Third, a research agenda that shows lacks and gaps in the designed CMPMF and provides a foundation to help researchers to design enhanced CMPMF is presented. The results show that no study integrated all of the FSCAF to enhance the design of CMPMF. Therefore, there is a need for further research to enhance the design of the existing CMPMF.

This comprehensive review digs into the complex landscape of the Metaverse, focusing on user perceptions and the critical roles of usability, social influence, and interoperability. The paper integrates various scholarly insights, underscoring the Metaverse's evolving significance in the digital realm and its implications across diverse sectors. Central to the findings is the importance of usability. The influence of social factors is also prominent, shaping user behavior and decision-making within these virtual spaces. Interoperability becomes a big problem, showing how important it is to have standard protocols and technologies so that experiences on different Metaverse platforms are smooth and seamless. The review further reveals insights into user experience and accessibility, emphasizing the need for inclusive, ergonomic, and user-friendly design to enhance engagement and reduce barriers. Moreover, the paper discusses the ethical and societal implications of the Metaverse, including issues like digital harassment, aggressive marketing, and privacy concerns, which call for responsible development and robust regulatory frameworks. Additionally, the review identifies gaps in current research, particularly in user experience in healthcare applications, the impact of the Metaverse on educational outcomes, and the need for more empirical studies on the long-term effects of Metaverse interactions on user behavior and psychology. This synthesis offers a detailed overview of current user perceptions and challenges within the Metaverse and sets the stage for future research directions, aiming to foster a secure, inclusive, and interoperable Metaverse environment that aligns with ethical standards and societal needs.

The objective of this paper is to present a feature model as a main deliverable of a domain analysis for context-aware Mobile Patient Monitoring Systems (MPMS). This model is a part of ongoing work to design an application framework to develop context-aware MPMS. These systems will enable elderly populations and patients with chronic diseases to undertake monitoring of themselves during their daily life. Unfortunately, developing these systems is very complex. An application framework, as an ideal reuse technique, is one of the most suitable solutions to simplify the development of such systems and overcome their development complexity. The scope of this paper is limited to construction process for context-aware MPMS feature model. The expected benefits of the resulted model are twofold. First, it enhances the understanding of the domain of context-aware MPMS. Second, it supports designing frameworks that satisfy the main characteristics of application frameworks, which are framework extensibility and reusability.