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Ahmadian, F F A, Akbarnezhad, A, Rashidi, T H and Waller, S T (2016) Accounting for Transport Times in Planning Off-Site Shipment of Construction Materials. Journal of Construction Engineering and Management, 142(01).

Anvuur, A M and Kumaraswamy, M M (2016) Effects of Teamwork Climate on Cooperation in Crossfunctional Temporary Multi-Organization Workgroups. Journal of Construction Engineering and Management, 142(01).

Arashpour, M, Wakefield, R, Blismas, N and Abbasi, B (2016) Quantitative Analysis of Rate-Driven and Due Date–Driven Construction: Production Efficiency, Supervision, and Controllability in Residential Projects. Journal of Construction Engineering and Management, 142(01).

Colin, J and Vanhoucke, M (2016) Empirical Perspective on Activity Durations for Project-Management Simulation Studies. Journal of Construction Engineering and Management, 142(01).

El Asmar, M, Hanna, A S and Loh, W (2016) Evaluating Integrated Project Delivery Using the Project Quarterback Rating. Journal of Construction Engineering and Management, 142(01).

  • Type: Journal Article
  • Keywords: Project performance; Performance metrics; Benchmarking; Quantitative methods; Integrated project delivery; Design-build; Design-bid-build; Construction management; Project delivery systems; Contracting;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001015
  • Abstract:
    This paper presents the development, validation, and implementation of an innovative comprehensive project performance metric specifically developed for architecture, engineering, and construction (AEC) projects. The project quarterback rating (PQR) combines key performance metrics of a project into a single number to provide a basis for quantifying project success. The combined performance areas include customer relations, schedule and budget compliance, quality and safety statistics, financial metrics, and communication among the different project stakeholders. The existing literature is analyzed to identify key performance metrics. A data-collection instrument is developed and then used to gather quantitative performance data from recently completed projects. Data are collected from industry professionals across the United States, and multivariate data analysis techniques are used to validate the model. PQR can compare the overall performance for different AEC projects, in addition to the performance of various project delivery systems. In this paper, PQR scores are calculated for projects completed under different delivery systems. The results clearly show differences in performance for projects delivered with design-bid-build (DBB), construction management at risk (CMR), design-build (DB), and integrated project delivery (IPD). This paper offers three major contributions to the construction engineering and management literature: (1) it presents the development and validation of the comprehensive performance model; (2) it provides the first comparison of project delivery systems through a single comprehensive metric; and (3) it offers an evaluation of the emerging IPD system, demonstrating superior overall performance when compared with other delivery systems.

Joukar, A and Nahmens, I (2016) Volatility Forecast of Construction Cost Index Using General Autoregressive Conditional Heteroskedastic Method. Journal of Construction Engineering and Management, 142(01).

Lu, W, Ye, M, Flanagan, R and Ye, K (2016) Corporate Social Responsibility Disclosures in International Construction Business: Trends and Prospects. Journal of Construction Engineering and Management, 142(01).

Park, J, Marks, E, Cho, Y K and Suryanto, W (2016) Performance Test of Wireless Technologies for Personnel and Equipment Proximity Sensing in Work Zones. Journal of Construction Engineering and Management, 142(01).

Plebankiewicz, E and Kubek, D (2016) Multicriteria Selection of the Building Material Supplier Using AHP and Fuzzy AHP. Journal of Construction Engineering and Management, 142(01).

Shahata, K and Zayed, T (2016) Integrated Risk-Assessment Framework for Municipal Infrastructure. Journal of Construction Engineering and Management, 142(01).

Siu, M F, Lu, M and AbouRizk, S (2016) Resource Supply-Demand Matching Scheduling Approach for Construction Workface Planning. Journal of Construction Engineering and Management, 142(01).

Zhao, D, McCoy, A P, Kleiner, B M, Du, J and Smith-Jackson, T L (2016) Decision-Making Chains in Electrical Safety for Construction Workers. Journal of Construction Engineering and Management, 142(01).

Zhao, D, McCoy, A P, Kleiner, B M, Smith-Jackson, T L and Liu, G (2016) Sociotechnical Systems of Fatal Electrical Injuries in the Construction Industry. Journal of Construction Engineering and Management, 142(01).