Presenting A Model For Using Artificial Intelligence In Risk Management Of Construction Companies

Abstract

The aim of the study was to present a model for using artificial intelligence in risk management of construction companies. According to the purpose and nature of this research, in terms of method, it was a qualitative research that was conducted by interviewing research experts. The study approach has been grounded theory. The statistical population was university professors in the field of management and senior managers of construction companies. The basis of the work of the qualitative part of the study was the ground theory method (foundation data theory) and three types of open, central and selective coding. The results showed that the model of using artificial intelligence in the risk management of construction companies includes the main categories of factors related to construction companies, factors related to the risk of artificial intelligence technology, training, functional components, managerial factors, and factors related to employees.