This study examines the influence of attachment styles—secure, anxious, avoidant, fearful-avoidant, and unclassified—on social media addiction in Kuwait, emphasizing the need for culturally relevant... Show More

This study examines the influence of attachment styles—secure, anxious, avoidant, fearful-avoidant, and unclassified—on social media addiction in Kuwait, emphasizing the need for culturally relevant interventions. Using data from 4,419 participants, it identifies distinct patterns: anxious attached individuals use social media for emotional validation, while avoidant attached users limit interactions to preserve autonomy. The research integrates ethical considerations, such as data privacy and cultural alignment, to propose tailored strategies for educators, mental health professionals, and policymakers. This study merges psychological theory and practical solutions to address social media addiction in non-Western contexts, promoting digital well-being.

Metaverse education is one of the most promising applications of the web and information technology and one of the newest applications of the metaverse. Considering that the metaverse is a virtual... Show More

Metaverse education is one of the most promising applications of the web and information technology and one of the newest applications of the metaverse. Considering that the metaverse is a virtual and real internet application and social structure created by integrating cutting-edge technologies, whether technology can be adapted to the task is one of the critical factors for the sustainable development of the platform. This study adopted the task-technology fit theory (TTF) to investigate the use of metaverse education. The results showed that both personalized learning and incarnational interactivity significantly affect TTF and actual use, and TTF significantly affects user satisfaction and continues to affect final performances. This study enriches the empirical research on metaverse education and provides a new entry point for subsequent research.

In this paper, the authors examined the structure and relationship between followers and leaders in Twitter followership to find similarities in personality. Specifically, they focused on the... Show More

In this paper, the authors examined the structure and relationship between followers and leaders in Twitter followership to find similarities in personality. Specifically, they focused on the relationships between Twitter (now X) influencers and their followers through an extensive analysis of millions of tweets using IBM Watson Personality Insights. The results are founded on the relationships between two major social media influencers and their respective followers. The present research informs marketing practitioners on using IBM Watson to find congruence between social media influencers and followers for the most effective and compelling marketing strategies to sell products.

Despite being available for over two decades, the acceptance of Smart Home Technology (SHT) remains slower than anticipated, with technophobia acting as a significant barrier. This study integrates... Show More

Despite being available for over two decades, the acceptance of Smart Home Technology (SHT) remains slower than anticipated, with technophobia acting as a significant barrier. This study integrates the Technology Acceptance Model (TAM) and Self-Determination Theory (SDT) to investigate how psychological and cultural factors influence SHT acceptance. A mediation analysis involving English (N = 284) and Spanish (N = 230) participants assessed whether technophobia, perceived ease of use, and perceived usefulness mediate the relationship between the frustration of psychological needs and behavioural intention. The findings suggest indirect effects through technophobia and usability factors, with Spanish participants reporting greater frustration yet a higher intention to adopt. These results underscore the need for culturally tailored interventions, such as localised education and improved usability, to enhance confidence and support broader SHT adoption.

Being overweight or obese raises the chances of developing a number of illnesses. Maintaining a healthy weight can help avoid these health problems, halt their progression, or resolve them. A... Show More

Being overweight or obese raises the chances of developing a number of illnesses. Maintaining a healthy weight can help avoid these health problems, halt their progression, or resolve them. A variety of intervention strategies and digital tools have been implemented for obesity prevention. However, these strategies and tools often are not designed in consideration of the end users' needs and preferences. To overcome this limitation, the study proposes an integrated participatory design process based on the design thinking and user-centered design methods, which involves end-users and the wider community in a synergistic dialogue. This dialogue can help define intervention strategies and technological tools for obesity prevention.

This qualitative study explores the effect of artificial intelligence (AI)-managed sleep pods on passenger stress and satisfaction in Chinese airports. Thirty interviews at Xi'an International... Show More

This qualitative study explores the effect of artificial intelligence (AI)-managed sleep pods on passenger stress and satisfaction in Chinese airports. Thirty interviews at Xi'an International Airport revealed that personalization, comfort, and privacy were significant qualities to possess. The findings indicate decreased stress, increased well-being, and the crucial role of cultural acceptance and trust in technology. Hence, a theoretical model generated by grounded theory plays the role of linking AI personalization to well-being, implying valuable knowledge for airport operators and AI-service designers. This study highlights the potential for AI to create personalized, stress-reducing environments, potentially offering practical solutions to enhance airport hospitality.

This bibliometric analysis of 239 articles from 2016 to 2025 maps the trends, gaps, and challenges of generative artificial intelligence (GenAI) in English-as-a-foreign-language education. Since... Show More

This bibliometric analysis of 239 articles from 2016 to 2025 maps the trends, gaps, and challenges of generative artificial intelligence (GenAI) in English-as-a-foreign-language education. Since 2024, research has surged due to technological progress and student-centered learning trends. Asian countries, notably China, lead in output, driven by high English proficiency demands and proactive technology integration. Leading journals such as Education and Information Technologies, System, and Computer Assisted Language Learning dominate the scholarly landscape. Research themes highlight GenAI tools' effectiveness in language acquisition, while challenges such as academic integrity and the digital divide persist. Scholars advocate for teacher training in technology use and ethics. Future research should explore GenAI's role in cross-cultural interactions, marginalized engagement, and long-term impacts and acceptance among teachers and students. Promoting collaboration, ethical use, and pedagogical innovation would enhance GenAI's potential to meet the evolving needs of English-as-a-foreign-language learners.

Social networking sites have been seamlessly integrated into e-commerce technology, creating a novel model that is revolutionizing business operations. However, limited studies have explained how... Show More

Social networking sites have been seamlessly integrated into e-commerce technology, creating a novel model that is revolutionizing business operations. However, limited studies have explained how this integration affects consumer behaviors. This study developed a research model to investigate the impact of customers' perceptions of Instagram's social commerce design on their perceived trust, purchase intentions and subsequent purchasing behaviors, employing the task–technology fit (TTF), stimulus–organism–response, and motivation models. Cross-sectional data was collected from 393 Instagram social commerce users in Iran through an online survey. The findings of partial least squares structural equation modeling analysis revealed that perceived sociability, enjoyment, functionality, and TTF significantly enhance customers' perceived trust. Perceived sociability, enjoyment, functionality, and trust were found to significantly increase customers' purchase intention. In addition, customers' perceptions of the sociability, trust, and TTF of Instagram commerce significantly affect their purchasing behaviors.