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Burke, R D, Parrish, K and El Asmar, M (2018) Environmental Product Declarations: Use in the Architectural and Engineering Design Process to Support Sustainable Construction. Journal of Construction Engineering and Management, 144(05).

Delgado, L, Shealy, T, Garvin, M and Pearce, A (2018) Framing Energy Efficiency with Payback Period: Empirical Study to Increase Energy Consideration during Facility Procurement Processes. Journal of Construction Engineering and Management, 144(05).

Doloi, H (2018) Community-Centric Model for Evaluating Social Value in Projects. Journal of Construction Engineering and Management, 144(05).

El-Sabek, L M and McCabe, B Y (2018) Framework for Managing Integration Challenges of Last Planner System in IMPs. Journal of Construction Engineering and Management, 144(05).

Farshchian, M M and Heravi, G (2018) Probabilistic Assessment of Cost, Time, and Revenue in a Portfolio of Projects Using Stochastic Agent-Based Simulation. Journal of Construction Engineering and Management, 144(05).

Liang, Q, Leung, M and Cooper, C (2018) Focus Group Study to Explore Critical Factors for Managing Stress of Construction Workers. Journal of Construction Engineering and Management, 144(05).

Lines, B C and Ravi Kumar, G G (2018) Developing More Competitive Proposals: Relationship between Contractor Qualifications-Based Proposal Content and Owner Evaluation Scores. Journal of Construction Engineering and Management, 144(05).

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001479
  • Abstract:
    Construction contractors have historically been procured through price-driven methods. Yet the increased use of alternate project delivery methods, along with owner-perceived concerns over construction performance, has led many owners to introduce qualifications-based selection criteria into their procurement systems. As a result, construction contractors are tasked with preparation of qualifications-based proposal submittals ever more frequently. Contractors must therefore develop strategies to consistently differentiate their qualifications from those of their their competitors, which can lead to more favorable owner evaluation scores and ultimately improve their hit rate. This paper performed a content analysis of 71 contractor proposals containing both successful and unsuccessful bids. Regression results indicate that contractor project management proposals receive more favorable owner evaluation scores when contractor-controlled, design-related, and concealed conditions content are emphasized. Regression results show that contractor scope alternate proposals are encouraged to provide a comprehensive review of potential scope options to enhance the project and ensure the associated cost and schedule impacts are clearly defined.

Mahpour, A and Mortaheb, M M (2018) Financial-Based Incentive Plan to Reduce Construction Waste. Journal of Construction Engineering and Management, 144(05).

Nguyen, D A, Garvin, M J and Gonzalez, E E (2018) Risk Allocation in U.S. Public-Private Partnership Highway Project Contracts. Journal of Construction Engineering and Management, 144(05).

Rocha, C G d, Anzanello, M J and Gerchman, M (2018) Method to Assess the Match between Clients’ Input and Decoupling Points in Customized Building Projects. Journal of Construction Engineering and Management, 144(05).

Schuldt, S and El-Rayes, K (2018) Optimizing the Planning of Remote Construction Sites to Minimize Facility Destruction from Explosive Attacks. Journal of Construction Engineering and Management, 144(05).

Tembo-Silungwe, C K and Khatleli, N (2018) Identification of Enablers and Constraints of Risk Allocation Using Structuration Theory in the Construction Industry. Journal of Construction Engineering and Management, 144(05).

Yap, J B H, Abdul-Rahman, H and Wang, C (2018) Preventive Mitigation of Overruns with Project Communication Management and Continuous Learning: PLS-SEM Approach. Journal of Construction Engineering and Management, 144(05).

Zhang, M, Cheng, W and Wang, Y (2018) Multiple-Fault Classification for Hot-Mix Asphalt Production by Machine Learning. Journal of Construction Engineering and Management, 144(05).