Stephan Soklaridis, Andrea Reisdorf and Sebastian Kummer

https://doi.org/10.54175/hsustain5010004

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

Kurt Orkun Aktaş, Ajda Zaim, Özlem Nur Aslantamer, Gözen Güner Aktaş and Hüseyin Emre Ilgın

https://doi.org/10.54175/hsustain4040016

Noha Emara, I-Ming Chiu and Sheila Warrick

https://doi.org/10.54175/hsustain4030011

Samson Toye Abiodun and Mehmet Recai Uygur

https://doi.org/10.54175/hsustain4030010

This research investigates the role of line managers in encouraging prosocial behavior that improves sustainability at the individual level in organizations. Based on a meta-analysis of the last ten years of research literature consisting of 15 ... Read More ... Read More This research investigates the role of line managers in encouraging prosocial behavior that improves sustainability at the individual level in organizations. Based on a meta-analysis of the last ten years of research literature consisting of 15 studies, it underlines the impact of transformational, servant, and inclusive leadership on the level of trust, emotional commitment, and shared purpose within the organization. Its emergent culture and internal climates strengthened leadership’s impact on fostering prosocial behavior. Benefits include enhanced employee well-being, improved productivity, and heightened engagement. This study highlights the emotionally responsive leadership and the appreciation of organizational culture needed to perpetuate prosocial behavior, offering actionable insights for leadership and organizational transformation. This study approaches sustainability from a social perspective, framing “individual sustainability”  as the employee’s ongoing capacity for well-being and interpersonal engagement within the organization. ... « 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

Andreas Plesner, Allan P. Engsig-Karup and Hans True

https://doi.org/10.54175/hveh3010001

Bogusław Ślusarczyk, Małgorzata A. Kozłowska and Zuzanna A. Kozłowska

https://doi.org/10.54175/hsustain4010002

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