FROM DATA TO DECISIONS: STRENGTHENING PROJECT RESILIENCE WITH ANALYTICS AND PROCESS MATURITY

Abstract

This study examines project resilience as a performance driver in upstream oil and gas projects during the 2020–2022 global disruption. While resilience is recognized as crucial for managing uncertainty, empirical research on its enablers within the oil and gas sector remains limited. Using survey data from 170 project managers worldwide, analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM), this study explores how Data Analytics Capability (DACP) and Project Management Maturity (PMMM) influence Project Resilience (PRES) and, in turn, Project Success (PSUC). Findings indicate that DACP significantly enhances resilience through real-time data processing, predictive analytics, and adaptive decision-making, while PMMM contributes through structured governance and risk management, though with a weaker effect. PRES emerges as a critical predictor of project success, reinforcing its role as both a risk-mitigation mechanism and a driver of long-term performance. Multi-Group Analysis (MGA) confirms these relationships across global regions, underscoring the universal applicability of resilience strategies in high-reliability industries. These insights highlight the need for integrating data-driven capabilities with structured project governance to improve adaptability and sustain performance in volatile environments.