The rapid convergence of Artificial Intelligence (AI) and Metaverse technologies is reshaping the higher education landscape by enabling immersive, personalized, and adaptive learning experiences. However, the long-term sustainability of such innovations remains uncertain without addressing environmental, social, and governance (ESG) considerations. This study develops and empirically validates an ESG-informed framework for Sustainable AI–Metaverse Adoption (SAAM) in higher education. A quantitative research design was employed, collecting data from 280 university students across diverse disciplines through a structured survey. Structural Equation Modeling (SEM-PLS) was applied to assess measurement reliability, convergent and discriminant validity, and to test the proposed hypotheses. The empirical results demonstrate that ESG dimensions exert differential effects on sustainable adoption, with environmental and social factors showing stronger direct associations than governance-related variables. Environmental sustainability, through energy-efficient AI systems, significantly enhances SAAM. Similarly, social dimensions, particularly inclusive AI access and student acceptance, exert robust positive effects on sustainable adoption, whereas faculty readiness influences adoption indirectly. Conversely, governance-related factors exhibit comparatively weaker direct effects: institutional policy support enhances digital infrastructure but does not directly influence SAAM, whereas ethical AI use has a limited impact, reflecting student prioritization of usability over ethics in early stages of adoption. Importantly, the outcomes highlight that SAAM substantially fosters digital pedagogical innovation (DPI) and enhanced student learning outcomes (ESLO), confirming its transformative potential. The study contributes theoretically by integrating ESG principles into technology adoption research, offering a multidimensional lens that enriches the understanding of sustainable digital transformation in higher education. Practically, it provides institutions and policymakers with evidence-based insights to design environmentally conscious, socially inclusive, and governance-supported strategies for AI–Metaverse integration. Future research should expand to cross-cultural contexts, larger samples, and longitudinal designs to validate and generalize these findings.

This research aimed to formulate a research ecosystem model based on collaboration among ELT students that can foster innovation in the field of sustainable technology. Using a qualitative-descriptive approach, data were collected through literature studies, surveys, and in-depth interviews with students and education experts. The results showed that a collaborative research ecosystem involving ELT students across disciplines and institutions can enhance students’ innovation capacity and research skills while strengthening local technological competitiveness. Constraints in the development of this ecosystem include limited infrastructure support and resources, which can be addressed through educational policies that promote inter-campus collaboration and improve research facilities. This study concluded that building a research ecosystem based on ELT student collaboration is an effective strategy for fostering sustainable technological innovation and provides recommendations for universities and the government to facilitate the creation of an ecosystem that supports research collaboration. The findings imply that institutional commitment and cross-disciplinary synergy are crucial for translating student-led research into impactful, real-world sustainable solutions.

Sub-Saharan Africa (SSA) faces persistent challenges in achieving sustainable agricultural production and food and nutrition security. Traditional farming methods, climate change, poor infrastructure, obsolete technology, declining resources, and limited access to finance and markets, are factors exacerbating these problems. Meanwhile, availability of reliable and accurate data is crucial for efficient resource allocation and management in critical sectors of developing countries, including agriculture. In countries where resources are scarce, efficient resource use will not only reduce waste but also ensure appropriate prioritization of the countries’ developmental needs. Development will forever remain a mirage in countries where there are no accurate data to learn from the past, manage the present sustainably, and understand the future trajectories of problems and prospects for accelerated progress in key sectors. This paper adopts a nuanced approach to explore how accurate agricultural data and innovation jointly influence food security in Africa. The methodology follows a multistage process, beginning with an extensive search of peer-reviewed journals, policy documents, and regional case studies to establish a rigorous evidence base. It then provides careful contextualisation, drawing on credible sources and relevant examples within and beyond Africa to clarify key concepts and terminologies. Through this approach, the study identifies the core problem, unravels knowledge gaps, and highlights issues often overlooked in the literature. In SSA, data-driven innovations have been documented to assist in strengthening resilience against climate shocks and other agriculture-related risks through the facilitation of tailored advisory services, predictive analytics and early warning systems. The availability and accessibility of technologies that combine weather forecasts, soil data, and historical yield trends can help farmers to be proactive in planning for climatic risks, optimizing planting schedules, and improving crop yields. Also, data-enabled platforms are transforming access to credit and insurance through digital profiling and risk assessment models that evaluate farm-level data to determine creditworthiness and underwrite agricultural insurance more effectively. Thus, data-driven approaches leveraging advances in technology such as remote sensing, mobile platforms, big data analytics, and precision agriculture offer transformative opportunities in these countries. The productivity improvement and social inclusion objectives of the government and relevant stakeholders can only be achieved with accurate and timely data. The paper concludes by highlighting the prime place of data-driven innovation in agricultural sustainability for improved nutrition and food security as well as the key initiatives and policy re-engineering required to transform African food systems in general. Key words: Data, Africa, Sustainability, Agriculture, Digital technology, Food security

ABSTRACT Nonprofits around the globe are facing a shortage of human resources, especially in regard to senior management and leadership. This challenge is particularly acute in human service organizations where leaders must balance complex client needs with organizational sustainability. This problem is exacerbated by the lack of programs regarding leadership development and skills training for nonprofit practitioners. Likewise, there is a dearth of empirical research into leadership development programs. An integrated nonprofit leadership development program, the Sustainability and Social Innovation Leadership Program (SSILP), was launched in Hong Kong in 2022. This study examined the efficacy of the SSILP in enhancing the leadership self-efficacy of nonprofit practitioners. A quasi-experimental, mixed-method research design with 65 survey respondents and 12 focus group participants demonstrated that the SSILP enhanced practitioners’ overall leadership self-efficacy. Four themes were identified: multiple pedagogical methods, peer-to-peer learning, iterative incubation processes, and cross-sector mentorship.

This study examined the impact of perceived corporate sustainability on employees’ pro-environmental behavior and sustainable innovation, with employee engagement serving as a mediating variable. A quantitative cross-sectional design was employed, and data were collected from 350 full-time employees across manufacturing and service organizations. Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The results indicated that perceived corporate sustainability significantly influenced employee engagement (β = 0.62, p < 0.001), pro-environmental behavior (β = 0.29, p < 0.001), and sustainable innovation (β = 0.33, p < 0.001). Employee engagement significantly predicted proenvironmental behavior (β = 0.41, p < 0.001) and sustainable innovation (β = 0.46, p < 0.001). Mediation analysis confirmed partial mediation, with significant indirect effects for pro-environmental behavior (β = 0.25, p < 0.001) and sustainable innovation (β = 0.29, p < 0.001). The findings suggested that sustainability perceptions enhanced employee engagement, which in turn strengthened environmentally responsible and innovative behaviors. The study contributed to the sustainability and organizational behavior literature by demonstrating the psychological mechanism linking corporate sustainability to behavioral and innovation outcomes. Practical implications highlighted the importance of embedding sustainability into organizational strategy to foster employee commitment and long-term innovation performance.

Retrovation typology: Exploiting and exploring past knowledge for nostalgic and sustainable innovation

Probing environmental resilience facets of sustainable energy, natural resources, and sustainable innovation among EU member states

Sustainable innovation: Artificial Intelligence-assisted design of bio-based plastics

Examining the Role of Corporate Digital Orientation in Fostering Firms' Green Innovation: Evidence from Chinese Firm Life Cycle Stages.

Bridging affordability and sustainability of health innovations via novel pricing, cost-effectiveness, and reimbursement models to improve patient access: The ASCERTAIN project

Multicenter study protocol on clinical, environmental, and economic outcomes of hybrid versus disposable surgical trays (project rEUsable).

Food formulation: rheological and tribological determinants of oral processing and flavor perception.

Consumer preferences for alternative eco-packaging: A field experiment on wine.

Sustainable governance and technological innovation: Moderating environmental risks of resource rents

Impact of sustainable business model innovation and green competencies on business sustainability in the mining sector: Moderating role of green creativity

Valorization of avocado (cv. Hass) waste powder in industrial-scale sourdough "ciabatta" bread production: Impact on microbial dynamics, quality attributes, and phenolic bioaccessibility.

The 2023 CONVINCE trial demonstrated improved survival with high-dose hemodiafiltration (HDF), prompting discussions about widespread adoption. However, this clinical advancement occurs amid growing awareness of healthcare's environmental impact, particularly dialysis treatments that consume extensive water and energy resources. This review examines the environmental implications of HDF adoption, synthesizing recent evidence on resource consumption and emerging sustainability solutions in the context of the climate crisis facing nephrology. Life cycle assessments indicate HDF has a carbon footprint 30-40% higher than conventional hemodialysis, consuming an additional 10 300 L of water per patient annually. However, recent technological innovations show promise: expanded hemodialysis (HDx) using medium cut-off membranes reduces water usage by >20% and energy consumption by >30% compared to HDF while potentially achieving similar clinical outcomes. Water conservation technologies, including reverse osmosis, reject water reuse and reduced dialysate flow protocols, can decrease environmental impact by 30-50% without any difference in patient outcomes. The adoption of HDF represents a critical test case for sustainable healthcare innovation. While the potential benefits should not be ignored, technology is not static and, if confirmed, additional sustainability work and comprehensive policy frameworks integrating environmental impact assessments into technology evaluation are urgently needed. The nephrology community must balance clinical excellence with planetary stewardship through technological innovation, resource optimization, and evidence-based environmental guidelines that benefit, not compromise, patient care.

E-waste valorization of sustainable neodymium recovery and innovation of recycled, reduced and neodymium-free magnet for electric vehicle motor

Eco-conscious internal communication and psychological drivers of eco-centric creativity: A three-wave PLS-SEM study of Chinese SMEs.

Life cycle assessment and optimization of lithium-oxygen battery laboratory development for sustainable innovation