Globalization and technology are presently impacting every aspect of life, with digital technologies helping to set the trend. Human-centricity and the ethical use of technology are integral components of Society 5.0, which emphasizes quality of life, productivity, social responsibility, and sustainability. The purpose of this study was to develop a deeper understanding of how Higher Education 5.0 empowers the future workforce in the landscape of Society 5.0. A systematic literature review was conducted using 18 full-text research papers from the Scopus database. It shows that the number of studies in this area is limited. The results revealed the critical role of education in cultivating the digital skills necessary for upcoming professionals. In order to transition from higher education to the workplace, fresh graduates need academic and practical readiness to meet the demands of a future-ready workforce. The contribution of the future workforce will also be crucial in building a harmonious human-centric society that will use technology to improve the quality of life towards sustainable living as envisioned by the United Nations’ SDGs. Additionally, we identify the current gaps in the research on Education 5.0 in the landscape of Society 5.0 and subsequently provide recommendations for the future.

This study aims to provide actionable insights into how digital technologies can be leveraged to advance circular economy (CE) practices in organizations. Future challenges in resource management and sustainability receive further attention. Semi-structured interviews were conducted with 15 global professionals from diverse industries. The analysis was carried out using Braun and Clarke's thematic analysis framework. Digital technology is critical for promoting CE practices in various industries. Blockchain, artificial intelligence, and the Internet of Things have emerged as powerful tools for advancing CE. We can alleviate waste and pollution, extend the life of products and increase their use intensity, recycle materials into the economy, and regenerate the environment through a circular approach. These innovations drive efficiency improvements and optimize resource use across various industries. Integrating digital tools holds significant potential to shift traditional linear economic models toward more sustainable and resource-efficient systems. Stronger partnerships between policymakers, businesses, and researchers will be essential in scaling digital solutions, driving responsible production and consumption, and ensuring long-term sustainability in a resource-conscious world. The study underscores industry perspectives and emerging trends, digital technologies can be effectively utilized to promote CE practices to ensure a sustainable future.

Autism spectrum disorder (ASD) is significantly known as social interaction impairment that can be reduced through early school-age intervention. The quasi-experimental research design was used to examine the effect of applied behavior analysis treatment on ASD children's interpersonal skills. The researchers used a purposive sampling technique to select 30 participants who have symptoms of ASD, which were divided into two groups (control and experimental) without gender discrimination. The assessment of basic language and learning skills (ABLLS-R) protocol and portage guide of early education was used to develop a questionnaire comprising four factors. The results indicate a statistically significant difference between the experimental and control groups in terms of students' interpersonal skills and the pretest and post-test scores of the experimental group. It is suggested that parents and therapists should develop a sharing ability among children with autism symptoms so they can understand social reinforcement.

The rise of AI chatbots in e-commerce has revolutionized digital customer service, yet understanding the factors influencing customer adoption remains a challenge. Drawing on the Technology Acceptance Model 2 and Anthropomorphism theory, the study aims to examine how human-like interaction elements can enhance trust and usability, leading to greater customer engagement with AI chatbots in e-commerce. A quantitative approach was employed, involving a sample of 423 respondents from Malaysia who interacted with AI chatbots on e-commerce platforms. Data were analyzed using partial least square structural equation modeling (PLS-SEM). Findings revealed that perceived usefulness (PU) and perceived ease of use (PEOU) have a significant direct influence on customer adoption, where PU became the strongest predictor, followed by PEOU. Perceived trust showed no direct influence, but strongly predicted anthropomorphic cues which in turn had a direct positive influence on customer adoption and indirect positive influence as a mediator between trust and adoption. The variable perceived trust (PT) showed no direct influence on adoption; instead, anthropomorphic cues and a strong mediating effect by anthropomorphic features such as emotional expressions and human-like communication enhance user experience, build trust, and drive adoption. This research highlights the originality of the study, which clearly explains that functional attributes (PU and PEOU) are not solely determined by adoption but are carefully designed by the mediating variable of anthropomorphic features. These insights are critical for e-commerce businesses and AI developers in designing chatbots that foster customer trust, usability, and satisfaction. The study contributes to the academic discourse on AI adoption and offers practical strategies for optimizing chatbot-human interaction in digital commerce.