The Effect of the Artificial Intelligence Techniques On Humanitarian Logistics Operations in Palestinian Disaster Management Institutions

Abstract

Disasters are increasing rapidly in countries around the world. Given the security situation in Palestine, high rates of disaster occurrence are expected in the region in the coming years. Consequently, there exists an urgent necessity to enhance humanitarian logistical operations in Palestine. Artificial intelligence (AI) technologies can greatly improve these activities, according to trends in developing nations. The purpose of this research is to examine how humanitarian logistics operations in Palestinian crisis management organizations are impacted by artificial intelligence approaches. Ninety top and intermediate managers were randomly selected to participate in a survey to gather data. The data was analyzed using partial least squares structural equation modeling (PLS-SEM). The findings indicate that artificial intelligence techniques have a positive impact on the dimensions of humanitarian logistics operations, including speed of response, efficiency, agility, and magnitude of damage mitigation. This study helps practitioners better grasp the opportunities and difficulties of using artificial intelligence techniques in a humanitarian setting in Palestine by providing both theoretical insights and real-world implementations.