Article 23 Dec 2025
Waleed Mugahed Al-Rahmi
82 Views17 Downloads
Article 23 Dec 2025
Ga-won Song, Eunhwa Yang and Cheol-Jae Yoon
Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 299–328
Volume 4 (2025), Issue 4, pp. 299–328
57 Views23 Downloads
Article 4 Dec 2025
Aivars Spilbergs, Biruta Dzērve, Sandra Ozoliņa, Gunta Innuse-Breidaka, Tatjana Mavrenko, Laima Čable, Agnese Vincēviča, Biruta Sloka, Ginta Tora and Kristīne Liepiņa
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
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.
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Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 285–298
Volume 4 (2025), Issue 4, pp. 285–298
371 Views55 Downloads
Article 23 Dec 2025
Waleed Mugahed Al-Rahmi
Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 329–352
Volume 4 (2025), Issue 4, pp. 329–352
82 Views17 Downloads
Article 23 Dec 2025
Ga-won Song, Eunhwa Yang and Cheol-Jae Yoon
Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 299–328
Volume 4 (2025), Issue 4, pp. 299–328
57 Views23 Downloads
Article 4 Dec 2025
Aivars Spilbergs, Biruta Dzērve, Sandra Ozoliņa, Gunta Innuse-Breidaka, Tatjana Mavrenko, Laima Čable, Agnese Vincēviča, Biruta Sloka, Ginta Tora and Kristīne Liepiņa
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
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.
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Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 285–298
Volume 4 (2025), Issue 4, pp. 285–298
371 Views55 Downloads
Article 26 Nov 2025
Kurt Orkun Aktaş, Ajda Zaim, Özlem Nur Aslantamer, Gözen Güner Aktaş and Hüseyin Emre Ilgın
Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 256–284
Volume 4 (2025), Issue 4, pp. 256–284
362 Views64 Downloads
Article 29 Oct 2025
Barbara Marchetti, Guido Castelli and Francesco Corvaro
Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 240–255
Volume 4 (2025), Issue 4, pp. 240–255
501 Views146 Downloads
Article 23 Oct 2025
Mehdi Hesam, Alfonso A. Vargas-Sánchez, Nima Moshiri Langroudi, Younes Saeedi Saraee and Zeynab Dargahi
Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 216–239
Volume 4 (2025), Issue 4, pp. 216–239
986 Views179 Downloads
Article 18 May 2023
Larry Dwyer
Highlights of Sustainability
Volume 2 (2023), Issue 2, pp. 83–99
Volume 2 (2023), Issue 2, pp. 83–99
9748 Views6075 Downloads13 Citations
Article 29 Apr 2022
Richard W. Butler and Rachel Dodds
Highlights of Sustainability
Volume 1 (2022), Issue 2, pp. 54–64
Volume 1 (2022), Issue 2, pp. 54–64
8853 Views5292 Downloads12 Citations
Article 26 Aug 2022
Stephen K. Wegren
Although Russia’s grain growing regions have experienced episodic droughts, the financial impact of climate change has to date been modest when measured in terms of value of production lost. As industrial agriculture continues to emit greenhouse
Although Russia’s grain growing regions have experienced episodic droughts, the financial impact of climate change has to date been modest when measured in terms of value of production lost. As industrial agriculture continues to emit greenhouse gases, the impact of climate change will intensify, making Russia’s southern regions drier and hotter, and potentially forcing a structural shift in production northward, an event that will lead to lower yields and grain output. The sustainable sector in Russia’s agricultural system is not able to compensate for lower grain output in the south, nor is it able to feed the nation or ensure food security across the full spectrum of commodities that consumers expect. The prospect of Russia as a declining grain power impacts the dozens of nations that import Russian grain, most notably authoritarian regimes in the Middle East.
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Highlights of Sustainability
Volume 1 (2022), Issue 3, pp. 188–201
Volume 1 (2022), Issue 3, pp. 188–201
6088 Views6751 Downloads3 Citations
Article 7 Feb 2024
Tsz Hin Hui, Nadine Itani and John F. O’Connell
Highlights of Sustainability
Volume 3 (2024), Issue 1, pp. 61–75
Volume 3 (2024), Issue 1, pp. 61–75
8296 Views3488 Downloads5 Citations
Review 8 May 2023
Annette Toivonen
Highlights of Sustainability
Volume 2 (2023), Issue 2, pp. 75–82
Volume 2 (2023), Issue 2, pp. 75–82
5774 Views4312 Downloads5 Citations
Article 6 Dec 2022
Julia Hillmann, Anne Bergmann and Edeltraud Guenther
This paper investigates the time-dependent effects of building organizational resilience. So far, empirical research only finds evidence that organizational resilience provides benefits in the long term. For the short and medium term, the link remains unclear
This paper investigates the time-dependent effects of building organizational resilience. So far, empirical research only finds evidence that organizational resilience provides benefits in the long term. For the short and medium term, the link remains unclear. On the one hand, literature indicates that building organizational resilience is costly. On the other hand, actions to build organizational resilience are perceived by investors, which should provide immediate positive effects for companies. This study investigates these two assumptions in the climate change context. We apply multiple regression analysis to study the relationship between resilience capabilities and different measures of financial performance. For market value and financial volatility, our findings indicate that building organizational resilience provides immediate benefits. For the total stock return index, we find only benefits that materialize with a time lag. We find no evidence at all that building resilience capabilities is related to costs in terms of lower accounting-based financial performance. Overall findings indicate that building organizational resilience is advantageous as it prepares an organization to face the challenges of climate change and, at the same time, provides financial benefits.
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Highlights of Sustainability
Volume 1 (2022), Issue 4, pp. 233–252
Volume 1 (2022), Issue 4, pp. 233–252
6146 Views3154 Downloads3 Citations
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Volume 4 (2025), Issue 4, pp. 329–352