DefinePK

Abstract

Artificial Intelligence (AI) enters the project management field and changes the way an organization plans, tracks and implements its complex projects. The critical intervention of the project risk mitigation strategies as a mediator is examined in this study, following the influence of the AI-based predictive analytics on the delivery performance made on the project delivery process. Based on a quantitative cross-sectional approach, 300 project managers were sampled in IT, construction and manufacturing areas. Relations between AI usage, risk mitigation practices, and the outcome of projects were studied via the Structural Equation Modeling (SEM). A strong positive relationship was observed between AI-based predictive analytics and the performance in delivering projects. Furthermore, to partially mediate this relationship, the role of project risk mitigation strategies was identified in such a way that the predictive tools, without the implemented risk management interventions, are not effective enough. The results prove that the combination of AI technologies and the known risk procedures intends to maximize project efficiency, deadlines compliance, and reducing the number of resources used. Theoretically, the study makes a contribution by including the Resource-Based View (RBV), and Technology Acceptance Model (TAM) in explaining how AI capabilities, when properly utilized, spearhead the improvement of organizational results.