Large maintenance projects determine the operational capacity of the business and, therefore, reflect the level of competitiveness, making this field of study strategic. In recent years, convergence has been identified between crisis management perspectives and maintenance projects about the specificity of capabilities and the management of complex activities that involve high risks and significant challenges. However, current articles are often fragmented into areas such as civil engineering and disaster management, or remain overly descriptive and limited in scope. This paper aimed to conduct a bibliometric analysis of the management of crisis and disasters in maintenance projects. In addition, a content analysis was conducted in this research, employing the PRISMA protocol to enable an in-depth investigation using a qualitative approach. To this end, an exploratory and descriptive study was carried out based on secondary data from the Web of Science and Scopus. The main results highlight climate change as a key focus, as well as disaster prevention and human adaptation as research-driving topics. Codifications related to proactive maintenance (62%), crisis management (56%), and natural disasters (59%) stood out, suggesting that these are contemporary themes that have required efforts from research groups worldwide over the past 12 years. Machine learning has been recognized, with emphasis on the application of new technologies in modeling for crisis and disaster management. Regarding scientific and technological mapping, a gap in the literature was identified, indicating the need for future studies to analyze the convergences between responsive systems, maintenance, and infrastructure.
Munhoz et al. (Thu,) studied this question.