Enhancing Organizational Resilience: Sustainable Development Scenarios Incorporating Disaster Impacts and AI Tools DOI Open Access
Augustinas Maceika, Andrej Bugajev, Olga Regina Šostak

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 11147 - 11147

Опубликована: Дек. 19, 2024

The intensification of human activities and the escalating impact climate change have increased probability disasters, making it important to develop sustainable development scenarios that consider potential disaster consequences. However, disasters are indirectly represented in 17 Sustainable Development Goals (SDGs) often overshadowed by other topics. This study focuses on effects context development. We conducted a sociological survey with 30 respondents from Lithuanian companies, half which were large manufacturing enterprises, found only 37% had encountered management issues, similar proportion actively developing related scenarios. Although external stakeholders participate, 57% indicated their company acts independently these matters. Large companies rated preparedness higher (3.5/5) than SMEs (2.9/5) or micro-companies (2.8/5). Rapid response liquidation consequences was deemed more (4.5/5) risk resilience-building (3.8/5). Using correlation mutual information analyses, we uncovered linear non-linear dependencies, showing psychological stress among employees negatively correlates importance assigned SDGs during disasters. Additionally, demonstrated how generative AI tools, such as ChatGPT, can transform results into tailored These findings provide practical insights methodologies for enhancing organizational resilience sustainability, even limited resources.

Язык: Английский

Representing Groups of Students as Personas: A Systematic Review of Persona Creation, Application, and Trends in the Educational Domain DOI Creative Commons
Ali Farooq, Amani Alabed,

Pilira Stella Msefula

и другие.

Computers and Education Open, Год журнала: 2025, Номер unknown, С. 100242 - 100242

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Can attention detect AI-generated text? A novel Benford's law-based approach DOI

Zhenhua Wang,

Guang Xu, Ming Ren

и другие.

Information Processing & Management, Год журнала: 2025, Номер 62(4), С. 104139 - 104139

Опубликована: Март 21, 2025

Язык: Английский

Процитировано

0

Enhancing Organizational Resilience: Sustainable Development Scenarios Incorporating Disaster Impacts and AI Tools DOI Open Access
Augustinas Maceika, Andrej Bugajev, Olga Regina Šostak

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 11147 - 11147

Опубликована: Дек. 19, 2024

The intensification of human activities and the escalating impact climate change have increased probability disasters, making it important to develop sustainable development scenarios that consider potential disaster consequences. However, disasters are indirectly represented in 17 Sustainable Development Goals (SDGs) often overshadowed by other topics. This study focuses on effects context development. We conducted a sociological survey with 30 respondents from Lithuanian companies, half which were large manufacturing enterprises, found only 37% had encountered management issues, similar proportion actively developing related scenarios. Although external stakeholders participate, 57% indicated their company acts independently these matters. Large companies rated preparedness higher (3.5/5) than SMEs (2.9/5) or micro-companies (2.8/5). Rapid response liquidation consequences was deemed more (4.5/5) risk resilience-building (3.8/5). Using correlation mutual information analyses, we uncovered linear non-linear dependencies, showing psychological stress among employees negatively correlates importance assigned SDGs during disasters. Additionally, demonstrated how generative AI tools, such as ChatGPT, can transform results into tailored These findings provide practical insights methodologies for enhancing organizational resilience sustainability, even limited resources.

Язык: Английский

Процитировано

0