Artificial intelligence in crisis management: a bibliometric analysis

Siyu Lei, Shuang Wang and Yiwen Tuo

Abstract

Artificial intelligence (AI) has gained increasing attention in the realm of crisis management research. It provides solutions for firms to better anticipate, address and learn from adversity to achieve sustainable growth and boost competitiveness. However, the research in this area remains fragmented and lacks adequate integration. To address this gap, we conduct a bibliometric analysis to illustrate the intellectual structure and research trends of AI in corporate crisis management, building upon 81 academic papers in the management and business fields. We find that the enabling role of AI in crisis management extends from the internal organization to external environments, eventually culminating in predictive empowerment and integration empowerment. We also find that there is an increasing focus on human–computer interaction throughout this evolutionary trajectory. Finally, we propose several research directions for scholars, as distilled from the analysis.