Continuous Improvement Practices and Project Delivery Performance in Energy Projects

Abstract

Persistent cost overruns, schedule delays, and quality challenges continue to affect project delivery in the energy sector despite the adoption of advanced project management frameworks. While continuous improvement (CI) practices have been widely associated with operational performance in manufacturing and service contexts, limited empirical evidence explains how such practices influence project delivery outcomes in complex, project-based environments such as energy projects. Addressing this gap, this study examines the impact of continuous improvement practices on project delivery performance and investigates the mediating roles of process standardization and organizational learning. Drawing on the Resource-Based View and Organizational Learning Theory, the study employs a sequential mixed-methods design. Quantitative data were collected from 265 professionals involved in oil and gas, renewable energy, and power infrastructure projects and analyzed using structural equation modelling, complemented by qualitative insights from 20 semi-structured interviews with senior project practitioners. The results show that continuous improvement practices significantly enhance project delivery performance both directly and indirectly. Specifically, CI practices positively influence schedule adherence, cost efficiency, quality conformance, and safety performance, with process standardization and organizational learning acting as significant partial mediators of this relationship. These findings provide empirical evidence that continuous improvement functions not merely as a set of operational tools but as an organizational capability that strengthens execution discipline and learning processes within complex project environments. The study contributes to project management literature by clarifying the mechanisms through which CI practices translate into improved project delivery outcomes in the energy sector. Practically, the findings highlight the importance for project-based organizations to institutionalize improvement routines, standardized processes, and learning systems to enhance reliability and performance in high-risk energy projects.