Universities play a crucial role in supporting sustainable development. In recent decades, indicator-based assessment tools have emerged to quantify universities’ efforts towards sustainability. The most widely known is the UI GreenMetric World University Rankings (UI-GWUR): In our paper, we examine the sustainability performance of the three greenest Hungarian universities. The University of Pécs, the University of Szeged and the University of Sopron were among the top 200 higher education institutions (HEIs) in the UI-GWUR in 2023, which proves that they have successfully integrated sustainable development into the components of their system. The aim of the paper is to identify the sustainability measures implemented by the three-top Hungarian HEIs. Their experiences shed light on how it is possible to move forward in the UI GWUR for a Hungarian higher education institution. In order to evaluate the sustainability efforts of the universities, the UI GWUR database was first examined. The websites and sustainability reports of the three universities were also analyzed to gain insight into their activities. Identifying the sustainability actions of the three institutions will help other universities to successfully plan and implement their sustainability initiatives. In the last part of our paper, we evaluate how the three Hungarian universities communicate sustainability through their websites. The results show that advancement in the UI Green Metric World University Rankings primarily requires conscious planning, which means a deeper understanding of the ranking methodology on the one hand, and a clear strategy creation and implementation on the other hand.

In a context of refugee precarity, the article highlights the significance of inclusive economic models for sustainable resilience amidst protracted crises, examining the interplay between humanitarian aid and economic development within the Minawao camp. Initially established as a temporary solution, the camp now shelters over 76,000 Nigerians fleeing Boko Haram violence. The study focuses on analyzing initiatives implemented to promote economic empowerment and resilience for refugees within a sustainable humanitarian framework. Through a combination of survey data, document reviews, and interviews, findings reveal that while these initiatives align with Sustainable Development Goal 8, they remain limited and insufficiently adapted to the skills and needs of the refugees. The camp’s geographic isolation and the passive involvement of the Cameroonian government further exacerbate the refugees’ dependency on humanitarian aid. Consequently, the study advocates for greater host-state involvement beyond theoretical agreements, the diversification of economic opportunities beyond the camp, adjustment of empowerment programs to meet refugee needs, and strengthened funding through innovative partnerships.

With the continuous development and rapid progress of Internet technology, the technology of “Internet +” has been widely used in almost all walks of life, including education. The new learning mode of “Internet + education” is changing learners’ learning habits, and this learning mode has become a hot issue that scholars pay attention to. Although there is much research on blended learning, the research on the influencing factors of blended learning in Chinese private colleges and universities is limited. In this paper, the questionnaire was designed based on the theory of planning behavior and the technical acceptance model theory, and distribute these questionnaires to undergraduates at Harbin Cambridge University, a private university in China, and 162 valid questionnaires were collected. Analysis was performed by multiple linear regression and structural equation model method. It is found that college students’ blended learning effect is positively correlated with perceived usefulness, interactive behavior, and learning acceptance, while perceived ease of use and learning atmosphere have no significant influence on the learning effect. This study further found that perceived usefulness and interactive behavior can influence the effect of blended learning through the mediating effect of learning acceptance. The results of this study provide a new idea for the study of blended learning; that is, students will know how to improve the effectiveness of blended learning, and also provide a valuable reference for teachers to solve the problem of how to improve the quality and effectiveness of blended classroom teaching.

Food safety in supply chains remains a critical concern due to the complexity of global distribution networks. This study develops a conceptual framework to evaluate how food safety risks influence supply chain performance through predictive analytics. The framework identifies and minimizes food safety risks before they cause serious problems. The study examines the impact of food safety practices, supply chain transparency, and technological integration on adopting predictive analytics. To illustrate the complex dynamics of food safety and supply chain performance, the study presents supply chain transparency, technological integration, and food safety practices and procedures as independent variables and predictive analytics as a mediator. The results show that supply chain managers' capacity to anticipate and control risks related to food safety can be improved by predictive analytics, leading to safer food production and distribution methods. The research recommends that businesses create scalable cloud-based predictive model solutions, combine data sources, and employ cutting-edge AI and machine learning tools. Companies should also note that strong, data-driven approaches to food safety require cooperative data sharing, regulatory compliance, training initiatives and ongoing improvement.