Exploring the Application of Agile Principles in Traditional Construction Settings by Bridging Methodologies for Enhanced Project Efficiency

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Donald Chijioke OKEKE, Bright Onyedikachi Asonye

Abstract

This study investigates the effect of agile principles on project efficiency in traditional construction projects specifically focusing on time management. The research employs a quantitative approach utilizing regression analysis to explore the relationship between the application of agile methods and project outcomes across various construction projects. Time efficiency is a critical determinant of project success, yet its relationship with project management approaches remains a subject of debate. This study examines the impact of Agile methodology, project size, and team size on time efficiency using an Ordinary Least Squares (OLS) regression model. The findings reveal that Agile methodology has a significant positive effect on time efficiency suggesting that Agile projects tend to be more efficient to complete due to their iterative nature. Conversely, team size positively influences time efficiency, indicating that larger teams contribute to faster project completion by distributing tasks more effectively. Project size negatively affects time efficiency, as larger projects require greater coordination and resource management, leading to delays. The model explains 74.9% of the variance in time efficiency, with an adjusted R-squared value of 0.749 demonstrating strong predictive capability. Robustness checks, including heteroskedasticity robust standard errors were conducted to ensure the reliability of the results. Based on these findings organizations should carefully evaluate the trade-offs associated with Agile methodologies particularly when time efficiency is a primary concern. While Agile promotes adaptability a hybrid approach integrating structured planning techniques may enhance efficiency. Additionally, ensuring adequate team size and implementing phased project execution strategies can mitigate inefficiencies associated with larger projects. This study contributes to the growing body of literature on project management by providing empirical evidence on the determinants of time efficiency. Future research should explore additional moderating variables such as leadership style, technological tools, and industry specific dynamics to further refine the understanding of project efficiency optimization

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