ENHANCING PROJECT DELIVERY PERFORMANCE THROUGH AI-BASED PREDICTIVE ANALYTICS: THE MEDIATING EFFECT OF RISK MITIGATION STRATEGIES

Abstract

Artificial Intelligence (AI) is transforming project management by reshaping how organizations plan, monitor, and execute complex projects. This study investigates the impact of AI-based predictive analytics on project delivery performance, with project risk mitigation strategies examined as a mediating factor. Employing a quantitative cross-sectional design, data were collected from 300 project managers across IT, construction, and manufacturing sectors. Structural Equation Modeling (SEM) was used to analyze the relationships among AI utilization, risk mitigation practices, and project outcomes. Results reveal a strong positive relationship between AI-based predictive analytics and project delivery performance. Importantly, project risk mitigation strategies were found to partially mediate this relationship, indicating that predictive analytics alone are insufficient without effective risk management interventions. The findings highlight that combining AI technologies with established risk mitigation practices enhances project efficiency, adherence to deadlines, and optimal resource utilization. Theoretically, the study integrates Resource-Based View (RBV) and Technology Acceptance Model (TAM) frameworks, demonstrating how effectively leveraged AI capabilities can drive superior organizational outcomes.