Hugo González-González, Gemma Fernández-Caminero, Carmen-María Hernández-Lloret, Luis Espino-Díaz and José-Luis Álvarez-Castillo

https://doi.org/10.54175/hsustain5010008

John C. G. Lee, Yeney Widya Prihatiningtias, Febryanti Simon and Samantha Siu Ling Lee

https://doi.org/10.54175/hsustain5010001

Indonesia’s National Free Meals Programme (NFMP) faces systemic challenges of fragmented implementation across agricultural, educational, and logistical sectors. These systemic challenges are compounded by inequitable reach in its archipelagic geography, where rural infrastructure gaps exacerbate disparities. ... Read More ... Read More Indonesia’s National Free Meals Programme (NFMP) faces systemic challenges of fragmented implementation across agricultural, educational, and logistical sectors. These systemic challenges are compounded by inequitable reach in its archipelagic geography, where rural infrastructure gaps exacerbate disparities. This study examines these issues through an integrated theoretical framework—combining Policy Transfer, Multi-stakeholder Governance, and Sustainable Livelihoods theories—using a mixed-methods approach that synthesises global policy benchmarks, peer-reviewed literature, and Sustainable Development Goal (SDG) alignment metrics. Key findings identify governance fragmentation, supply chain inefficiencies (notably 15–20% food spoilage in eastern regions), and digital divides as critical constraints. The research proposes a three-tiered intervention framework: (1) geospatially tailored procurement mechanisms; (2) incentivised corporate partnerships for cold-chain infrastructure; and (3) co-created R&D for climate-resilient crops. These strategies synergistically advance SDG 1 (Poverty Reduction), SDG 2 (Zero Hunger), and SDG 4 (Quality Education), demonstrating potential for farmer income gains, reduced child stunting, and improved school attendance. The study contributes to theoretical debates on adaptive policy transfer and offers Indonesia a scalable blueprint for integrated food-security transformation in archipelagic contexts. ... « or Access Full Article

Waleed Mugahed Al-Rahmi

https://doi.org/10.54175/hsustain4040019

Aivars Spilbergs, Biruta Dzērve, Sandra Ozoliņa, Gunta Innuse-Breidaka, Tatjana Mavrenko, Laima Čable, Agnese Vincēviča, Biruta Sloka, Ginta Tora and Kristīne Liepiņa

https://doi.org/10.54175/hsustain4040017

This study examines the primary risks associated with using generative artificial intelligence (GAI) in social science research and proposes a framework for higher education institutions to effectively manage these risks. As universities increasingly integrate GAI into ... Read More ... Read More This study examines the primary risks associated with using generative artificial intelligence (GAI) in social science research and proposes a framework for higher education institutions to effectively manage these risks. As universities increasingly integrate GAI into teaching, research, and administration, concerns around intellectual property, academic integrity, data privacy, and ethical use have intensified. This paper explores the adequacy of current legal frameworks in addressing these challenges, drawing on recent legal analyses and institutional practices. Survey data reveal statistically significant differences in perceptions of the need for GAI guidelines based on respondents’ age, education level, field of study, research experience, and geographic region. The findings underscore the urgency of developing adaptive, risk-based policies that support responsible integration of GAI while safeguarding academic standards. The study concludes by proposing guiding principles for a dynamic legal framework that balances innovation with accountability. These recommendations aim to support sustainable and ethical GAI adoption in higher education institutions and contribute to the broader discourse on responsible AI governance in academia. ... « or Access Full Article

Vassilios Makrakis, Nelly Kostoulas-Makrakis, Omar Ramzy and Mohammed Anwar

https://doi.org/10.54175/hsustain4020009

Increasing numbers of refugee children enter host countries’ public schools. Yet, most refugee children’s education is carried out through refugee community schools, mainly by unqualified teachers. This study examines critical elements impacting teacher training satisfaction, emphasizing ... Read More ... Read More Increasing numbers of refugee children enter host countries’ public schools. Yet, most refugee children’s education is carried out through refugee community schools, mainly by unqualified teachers. This study examines critical elements impacting teacher training satisfaction, emphasizing instructors’ preparedness and skill, and the effectiveness of training outcomes within a post-graduate program to improve education for refugee children. It supports the Sustainable Development Goals (SDGs), especially SDG10, which calls for lowering inequality, and SDG4, which strongly emphasizes high-quality education. A sizable sample of 306 out of 386 individuals who had finished the RefTeCp capacity-building program participated in the study. These people worked in various educational environments, such as community schools for refugees and private establishments. The study guaranteed its legitimacy through a thorough reliability analysis and content evaluation. Multiple regression techniques were used in data analysis to identify the crucial factors influencing teacher training satisfaction. According to key findings, the efficiency of teaching materials and instructors’ abilities to manage blended learning environments substantially correlate and explain teacher training satisfaction. The study’s results highlight several essential facets of teacher professional development, such as focusing on suitable high-quality blended learning materials and resources to improve refugee students’ learning needs and experiences. Continuing teacher capacity-building interventions, and allowing refugee teachers to participate, can significantly contribute to reducing inequities and, ultimately, to a more equitable and just society. ... « or Access Full Article

Enrique Javier Díez Gutiérrez, Luisa María García Salas, Sara Aguilar Moya, Kelly Romero Acosta, Antonio Pérez Robles, José Jesús Trujillo Vargas, Ignacio Perlado Lamo de Espinosa and Luis Miguel Mateos Toro

https://doi.org/10.54175/hsustain4020007

Michael Tarrant, Mikell Gleason, Steven Boyd and Tony Wellington

https://doi.org/10.54175/hsustain4010001

We adopt a normative model of crowd tolerance (expressed as a willingness to support more or fewer tourists) as a proxy for overtourism. Consistent with Social Exchange Theory, it is proposed that a person will perceive ... Read More ... Read More We adopt a normative model of crowd tolerance (expressed as a willingness to support more or fewer tourists) as a proxy for overtourism. Consistent with Social Exchange Theory, it is proposed that a person will perceive the impacts of tourism at a destination as positive or negative depending on the extent to which they view visitor levels as under or over a threshold that they expect or support (i.e., their norms or tolerance level). A total of 420 residents and 1048 visitors completed a survey interview in the tourist shire of Noosa between 2022 and 2024. Results show that residents and visitors differed significantly on many of the perceived tourism impacts, with long-term residents less favorable to the positive impacts than visitors. There was broad consensus across both residents and tourists, and the highest level of agreement, with negative impacts (especially that tourism contributes to traffic and parking congestion, and higher prices). The lowest levels of agreement with positive tourism impacts were found for “over tourists” (respondents who supported a fewer number of tourists). Implications for sustainable destination management are discussed in the context of the Quadruple Bottom Line, including efforts that enable tourism communities to grow well using a guardianship ethos and collective action of Gifts and Gains. ... « or Access Full Article

Aristotelis Martinis, Maria Kaloutsa and Katerina Kabassi

https://doi.org/10.54175/hsustain3020015

Tsz Hin Hui, Nadine Itani and John F. O’Connell

https://doi.org/10.54175/hsustain3010005