Enhancing Organizational Resilience: Sustainable Development Scenarios Incorporating Disaster Impacts and AI Tools

Augustinas Maceika, Andrej Bugajev () and Olga Regina Šostak
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Augustinas Maceika: The Faculty of Mechanics, Vilnius Gediminas Technical University, Plytinės Street 25, LT-10105 Vilnius, Lithuania
Andrej Bugajev: The Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania
Olga Regina Šostak: The Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Sauletekio Ave. 11, LT-10223 Vilnius, Lithuania

Sustainability, 2024, vol. 16, issue 24, 1-39

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

Keywords: sustainable development; disaster management; scenario generation; artificial intelligence; ChatGPT; prompt engineering; sustainable development goals; disaster preparedness; mutual information analysis; Lithuanian manufacturing companies (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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