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Akhavian, R and Behzadan, A H (2013) Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining. Journal of Construction Engineering and Management, 139(11).
Chou, J, Irawan, N and Pham, A (2013) Project Management Knowledge of Construction Professionals: Cross-Country Study of Effects on Project Success. Journal of Construction Engineering and Management, 139(11).
De Jarnette, V, McCarthy, L M, Bennert, T and Guercio, M C (2013) Use of Mechanistic-Empirical Pavement Design Principles to Assign Asphalt Pavement Pay Factor Adjustments. Journal of Construction Engineering and Management, 139(11).
El Asmar, M, Hanna, A S and Loh, W (2013) Quantifying Performance for the Integrated Project Delivery System as Compared to Established Delivery Systems. Journal of Construction Engineering and Management, 139(11).
- Type: Journal Article
- Keywords: Project delivery; Innovation; Construction management; Integrated project delivery; Innovative delivery methods; Performance metrics; Contracting;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000744
- Abstract:
Integrated project delivery (IPD) is an emerging construction project delivery system that collaboratively involves key participants very early in the project timeline, often before the design is started. It is distinguished by a multiparty contractual agreement that typically allows risks and rewards to be shared among project stakeholders. Because IPD is becoming increasingly popular, various organizations are expressing interest in its benefits to the architecture/engineering/construction (AEC) industry. However, no research studies have shown statistically significant performance differences between IPD and more established delivery systems. This study fills that missing gap by evaluating the performance of IPD projects compared to projects delivered using the more traditional design-bid-build, design-build, and construction management at-risk systems, and showing statistically significant improvements for IPD. Relevant literature was analyzed, and a data collection instrument was developed and utilized in detailed interviews to gather quantitative performance data from 35 recently completed projects. Univariate data analyses, such as t-tests and Mann-Whitney-Wilcoxon tests, were performed to evaluate IPD performance. The results indicate that IPD achieves statistically significant improvements in 14 metrics across six performance areas: quality, schedule, project changes, communication among stakeholders, environmental, and financial performance. The major contribution of this paper is demonstrating that IPD provides higher quality facilities faster and at no significant cost premium. These results would be extremely valuable in the hands of decision makers to enable them to choose the appropriate delivery system for their projects.
Goedert, J D and Sekpe, V D (2013) Decision Support System–Enhanced Scheduling in Matrix Organizations Using the Analytic Hierarchy Process. Journal of Construction Engineering and Management, 139(11).
Hindman, D P, Timko, P D and Nussbaum, M A (2013) Mechanical Response of Unbraced Wood Composite I-Joist to Walking Loads. Journal of Construction Engineering and Management, 139(11).
Hwang, B and Soh, C K (2013) Trade-Level Productivity Measurement: Critical Challenges and Solutions. Journal of Construction Engineering and Management, 139(11).
Jiang, H, Xu, Y and Liu, C (2013) Construction Price Prediction Using Vector Error Correction Models. Journal of Construction Engineering and Management, 139(11).
Kang, Y, Kim, C, Son, H, Lee, S and Limsawasd, C (2013) Comparison of Preproject Planning for Green and Conventional Buildings. Journal of Construction Engineering and Management, 139(11).
Leung, M, Yu, J and Liang, Q (2013) Improving Public Engagement in Construction Development Projects from a Stakeholder’s Perspective. Journal of Construction Engineering and Management, 139(11).
Ning, Y and Ling, F Y Y (2013) Reducing Hindrances to Adoption of Relational Behaviors in Public Construction Projects. Journal of Construction Engineering and Management, 139(11).
Pikas, E, Sacks, R and Hazzan, O (2013) Building Information Modeling Education for Construction Engineering and Management. II: Procedures and Implementation Case Study. Journal of Construction Engineering and Management, 139(11).
Praticò, F G (2013) New Road Surfaces: Logical Bases for Simple Quality-Related Pay Adjustments. Journal of Construction Engineering and Management, 139(11).
Sacks, R and Pikas, E (2013) Building Information Modeling Education for Construction Engineering and Management. I: Industry Requirements, State of the Art, and Gap Analysis. Journal of Construction Engineering and Management, 139(11).
Thomas, A, Davis, B, Dadi, G B and Goodrum, P M (2013) Case Study on the Effect of 690 mpa (100 ksi) Steel Reinforcement on Concrete Productivity in Buildings. Journal of Construction Engineering and Management, 139(11).
Won, J, Lee, G, Dossick, C and Messner, J (2013) Where to Focus for Successful Adoption of Building Information Modeling within Organization. Journal of Construction Engineering and Management, 139(11).