Chapter
Mar 7, 2022

Collaborative Planning Metrics in Construction Projects: A Factor Analysis Approach

Publication: Construction Research Congress 2022

ABSTRACT

Adversarial relationships between different construction stakeholders have been one of the main causes of poor performance in projects. As such, collaborative planning has been presented which promotes active involvement and integration between the various parties to a project. Previous research concentrated on specific facets of collaborative planning and lacked offering a broad study of the underlying factors affecting construction collaborative planning. This paper tackles this point. As such, the authors distributed a survey to industry experts for evaluating a holistic list of 50 collaborative planning metrics. Utilizing factor analysis on the retrieved survey data of 53 responses, the authors concluded that 35 metrics can be extracted and grouped into five categories, namely, behaviors, planning, procurement, technology, and lean construction. The research findings highlight the intercorrelation of the studied metrics and thus offer practitioners with enhanced understanding of the factors influencing construction collaborative planning. Ultimately, successfully employing collaborative planning in construction projects will enhance the performance in terms of enhancing productivity, reducing cost and schedule overruns, and fostering a more collaborative work environment.

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Go to Construction Research Congress 2022
Construction Research Congress 2022
Pages: 825 - 834

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Published online: Mar 7, 2022

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Amr Elsayegh [email protected]
1Ph.D. Candidate, Dept. of Civil, Architectural, and Environmental Engineering, Missouri Univ. of Science and Technology. Email: [email protected]
Islam El-Adaway [email protected]
2Hurst-McCarthy Professor of Construction Engineering and Management, Professor of Civil Engineering, and Director of Missouri Consortium for Construction Innovation, Dept. of Civil, Architectural, and Environmental Engineering and Dept. of Engineering Management and Systems Engineering, Missouri Univ. of Science and Technology. Email: [email protected]

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