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Aljassmi, H, Han, S and Davis, S (2014) Project Pathogens Network: New Approach to Analyzing Construction-Defects-Generation Mechanisms. Journal of Construction Engineering and Management, 140(01).

Casanovas, M d M, Armengou, J and Ramos, G (2014) Occupational Risk Index for Assessment of Risk in Construction Work by Activity. Journal of Construction Engineering and Management, 140(01).

Chang, C (2014) Principal-Agent Model of Risk Allocation in Construction Contracts and Its Critique. Journal of Construction Engineering and Management, 140(01).

Choi, S, Kim, D Y, Han, S H and Kwak, Y H (2014) Conceptual Cost-Prediction Model for Public Road Planning via Rough Set Theory and Case-Based Reasoning. Journal of Construction Engineering and Management, 140(01).

González, P, González, V, Molenaar, K and Orozco, F (2014) Analysis of Causes of Delay and Time Performance in Construction Projects. Journal of Construction Engineering and Management, 140(01).

Laryea, S and Lubbock, A (2014) Tender Pricing Environment of Subcontractors in the United Kingdom. Journal of Construction Engineering and Management, 140(01).

  • Type: Journal Article
  • Keywords: Contractors; Pricing; United Kingdom; Construction industry; Contractor; Interview; Questionnaire; Subcontractor; Tender-pricing; Tendering; United Kingdom (UK); Contracting;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000749
  • Abstract:
    Contractors rely significantly on quotations from subcontractors to price a tender. However, much of the research carried out in the United Kingdom (UK) on construction-tendering has been done from the perspective of the relationship between the contractor and client. This paper addresses that gap by identifying and examining the major barriers to effective pricing of tenders by subcontractors and the business environment of their commercial relationships with contractors. A questionnaire study involving 94 subcontractors and semistructured interviews with five of them was conducted in 2011. The primary barriers to providing better cost-certainty and quality of response in quotations to contractors relate to quality of documents, bidding time, competition, resource levels, information and communication technology, unethical behavior by the contractor, uneven collaborative relationships, input specificity, level of relationship that exists, and the time to assimilate and provide the output response. Contractors and clients should help address the barriers. For contractors, this can enhance competitiveness, profitability, and supply-chain relationships. For clients, this can lead to better project outcomes because subcontractors form a major part of the organizational structure of projects. Addressing the concerns expressed by subcontractors may also require a collaborative approach, perhaps in conjunction with an industry-wide investigation and plan of action.

Ling, F Y Y, Ke, Y, Kumaraswamy, M M and Wang, S (2014) Key Relational Contracting Practices Affecting Performance of Public Construction Projects in China. Journal of Construction Engineering and Management, 140(01).

Narbaev, T and De Marco, A (2014) Combination of Growth Model and Earned Schedule to Forecast Project Cost at Completion. Journal of Construction Engineering and Management, 140(01).

Ning, Y and Ling, F Y Y (2014) Boosting Public Construction Project Outcomes through Relational Transactions. Journal of Construction Engineering and Management, 140(01).

Panas, A and Pantouvakis, J P (2014) Simulation-Based and Statistical Analysis of the Learning Effect in Floating Caisson Construction Operations. Journal of Construction Engineering and Management, 140(01).

Rosenfeld, Y (2014) Root-Cause Analysis of Construction-Cost Overruns. Journal of Construction Engineering and Management, 140(01).

Sun, C, Mackley, A and Edara, P (2014) Programmatic Examination of Missouri Incentive/Disincentive Contracts for Mitigating Work Zone Traffic Impacts. Journal of Construction Engineering and Management, 140(01).

Syal, M, Duah, D, Samuel, S, Mazor, M, Mo, Y and Cyr, T (2014) Information Framework for Intelligent Decision Support System for Home Energy Retrofits. Journal of Construction Engineering and Management, 140(01).

Yang, I, Lin, Y and Lee, H (2014) Use of Support Vector Regression to Improve Computational Efficiency of Stochastic Time-Cost Trade-Off. Journal of Construction Engineering and Management, 140(01).

Zhang, S, Du, C, Sa, W, Wang, C and Wang, G (2014) Bayesian-Based Hybrid Simulation Approach to Project Completion Forecasting for Underground Construction. Journal of Construction Engineering and Management, 140(01).