preprints.org > business, economics and management > business and management > doi: 10.20944/preprints202405.1580.v1

Preprint Dataset Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 20 May 2024 / Approved: 23 May 2024 / Online: 30 May 2024 (09:25:18 CEST)

The study addresses improving disaster management performance using artificial intelligence to achieve sustainable development and support the global economy and proposes implementable strategies to achieve resilience and growth. Through a literature review, it examines the impact of natural disasters on international trade and focuses on the challenges faced by developing economies in developing countries. The study emphasizes the interconnectedness of global trade networks and the need for proactive risk management. Existing qualitative literature from previous studies was compiled and analyzed for the study. The results indicate potential disruptions in commercial activities and economic growth in Middle Eastern countries due to natural or human-caused disasters such as wars and terrorism. Here we find the importance of measures to build resilience and diversify trading partners and markets. Recommendations include investing in resilient infrastructure, promoting digital trade, strengthening institutional capacities, and enhancing regional and international cooperation. By providing insights to policy makers, businesses and stakeholders, this study contributes to understanding the resilience of developing economies to natural disasters and provides practical guidance for them to overcome the challenges posed by such disasters and achieve sustainable growth.

improving disaster management performance; ethical artificial intelligence; global trade; economic resilience; developing economies

Business, Economics and Management, Business and Management

* All users must log in before leaving a comment