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Construction Management and Economics Volume 10, 1992 - Issue 3
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Original Articles

Decision models for analysis and evaluation of construction contractors

Jeffrey S. Russell Department of Civil and Environmental Engineering, University of Wisconsin, Madison, WI, 53706, USA
Pages 185-202 | Published online: 28 Jul 2006

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Nora Sani Salim Kasabreh & Sultan Abderrahman Tarawneh. (2021) Investigating the impact of contractor’s performance on the success of Jordanian residential construction projects. International Journal of Construction Management 21:5, pages 468-475.
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Andrew Ross, Katie Dalton & Begum Sertyesilisik. (2013) An investigation on the improvement of construction expenditure forecasting. Journal of Civil Engineering and Management 19:5, pages 759-771.
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Edyta Plebankiewicz. (2010) Construction contractor prequalification from polish clients’ perspective. Journal of Civil Engineering and Management 16:1, pages 57-64.
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Edyta Plebankiewicz. (2009) Contractor prequalification model using fuzzy sets. Journal of Civil Engineering and Management 15:4, pages 377-385.
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Perry John Forsythe. (2007) A conceptual framework for studying customer satisfaction in residential construction. Construction Management and Economics 25:2, pages 171-182.
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K. C. Lam, Tiesong Hu, S. Thomas Ng, Martin Skitmore & S. O. Cheung. (2001) A fuzzy neural network approach for contractor prequalification. Construction Management and Economics 19:2, pages 175-188.
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Patrick Sik-Wah Fong & Sonia Kit-Yung Choi. (2000) Final contractor selection using the analytical hierarchy process. Construction Management and Economics 18:5, pages 547-557.
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MARTIN SKITMORE & ANTHONY MILLS. (1999) A needs based methodology for classifying construction clients and selecting contractors: comment. Construction Management and Economics 17:1, pages 5-7.
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Articles from other publishers (33)

Y. Alfraidi, S. M. Alzahrani, M. H. H. Abdelhafez & H. Boussabaine. (2020) Impact of Endogenous Risk Factors on Risk Cost in PPP Projects in Saudi Arabia. Engineering, Technology & Applied Science Research 10:4, pages 6087-6091.
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Faikcan Kog & Hakan Yaman. (2016) A multi-agent systems-based contractor pre-qualification model. Engineering, Construction and Architectural Management 23:6, pages 709-726.
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Mahdi SafaMing-Ho YeeDerek RaysideCarl T. Haas. (2016) Optimizing Contractor Selection for Construction Packages in Capital Projects. Journal of Computing in Civil Engineering 30:5.
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Mahdi Safa, Arash Shahi, Carl T. Haas, Dawn Fiander-McCann, Majeed Safa, Keith Hipel & Sandra MacGillivray. (2015) Competitive intelligence (CI) for evaluation of construction contractors. Automation in Construction 59, pages 149-157.
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H. M. Alhumaidi. (2015) Construction Contractors Ranking Method Using Multiple Decision-Makers and Multiattribute Fuzzy Weighted Average. Journal of Construction Engineering and Management 141:4.
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Faikcan Kog & Hakan Yaman. (2014) A Meta Classification and Analysis of Contractor Selection and Prequalification. Procedia Engineering 85, pages 302-310.
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Wuming Xu, Xiaowen Tang, Hongyan Dan & Huan Liu. 2014. Proceedings of the Eighth International Conference on Management Science and Engineering Management. Proceedings of the Eighth International Conference on Management Science and Engineering Management 1329 1338 .
Mounir El AsmarWafik Boulos LotfallahWei-Yin LohAwad S. Hanna. (2013) Reducing Bias and Uncertainty in Multievaluator Multicriterion Decision Making. Journal of Computing in Civil Engineering 27:2, pages 167-176.
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Chad Perry. 2013. Encyclopedia of Operations Research and Management Science. Encyclopedia of Operations Research and Management Science 273 275 .
Firuzan Yasamis-SperoniDong-Eun LeeDavid Arditi. (2012) Evaluating the Quality Performance of Pavement Contractors. Journal of Construction Engineering and Management 138:10, pages 1114-1124.
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Mounir El AsmarWafik Boulos LotfallahWei-Yin LohAwad S. Hanna. (2012) Uncertainty Reduction in Multi-Evaluator Decision Making. Journal of Computing in Civil Engineering 26:1, pages 105-112.
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Adel Awad & Aminah Robinson Fayek. (2012) A decision support system for contractor prequalification for surety bonding. Automation in Construction 21, pages 89-98.
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Mounir El AsmarWafik LotfallahGary WhitedAwad S. Hanna. (2010) Quantitative Methods for Design-Build Team Selection. Journal of Construction Engineering and Management 136:8, pages 904-912.
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Panos L. Lorentziadis. (2010) Post-objective determination of weights of the evaluation factors in public procurement tenders. European Journal of Operational Research 200:1, pages 261-267.
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Nabil El‐Sawalhi, David Eaton & Rifat Rustom. (2008) Forecasting contractor performance using a neural network and genetic algorithm in a pre‐qualification model. Construction Innovation 8:4, pages 280-298.
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N. M. Mohamad Noor, Rosmayati Mohemad, Mustafa Man & Armi Idayu Abdullah. (2008) Decision support for web-based prequalification tender management system in construction projects. Decision support for web-based prequalification tender management system in construction projects.
Nabil El-Sawalhi, David Eaton & Rifat Rustom. (2007) Contractor pre-qualification model: State-of-the-art. International Journal of Project Management 25:5, pages 465-474.
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Edmundas Kazimieras Zavadskas & Tatjana Vilutienė. (2006) A multiple criteria evaluation of multi-family apartment block's maintenance contractors: I—Model for maintenance contractor evaluation and the determination of its selection criteria. Building and Environment 41:5, pages 621-632.
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D R Ogunsemi & I O Aje. (2006) A model for contractors’ selection in Nigeria. Journal of Financial Management of Property and Construction 11:1, pages 33-44.
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Ekambaram PalaneeswaranMohan M. Kumaraswamy. (2005) Web-Based Client Advisory Decision Support System for Design–Builder Prequalification. Journal of Computing in Civil Engineering 19:1, pages 69-82.
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N. M. Mohamad Noor, K.N. Papamichail & B. Warboys. 2005. Enterprise Information Systems V. Enterprise Information Systems V 169 176 .
Ekambaram Palaneeswaran, Mohan Kumaraswamy & Thomas Ng. (2003) Targeting optimum value in public sector projects through “best value”‐focused contractor selection. Engineering, Construction and Architectural Management 10:6, pages 418-431.
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Chad Perry. 2001. Encyclopedia of Operations Research and Management Science. Encyclopedia of Operations Research and Management Science 141 142 .
K.C. LAM, S. THOMAS NG, TIESONG HU, MARTIN SKITMORE & S.O. CHEUNG. (2000) Decision support system for contractor pre‐qualification—artificial neural network model. Engineering, Construction and Architectural Management 7:3, pages 251-266.
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Gary D Holt. (1998) Which contractor selection methodology?. International Journal of Project Management 16:3, pages 153-164.
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Gary D. Holt. (1996) Applying cluster analysis to construction contractor classification. Building and Environment 31:6, pages 557-568.
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W Wang, KIM Hawwash & JG Perry. (1996) Contract type selector (CTS): a KBS for training young engineers. International Journal of Project Management 14:2, pages 95-102.
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Saul I. Gass & Carl M. Harris. 1996. Encyclopedia of Operations Research and Management Science. Encyclopedia of Operations Research and Management Science 57 143 .
Gary D. Holt, Paul O. Olomolaiye & Frank C. Harris. (1995) A review of contractor selection practice in the U.K. construction industry. Building and Environment 30:4, pages 553-561.
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Gary D Holt, Paul O Olomolaiye & Frank C Harris. (1994) Applying multi-attribute analysis to contractor selection decisions. European Journal of Purchasing & Supply Management 1:3, pages 139-148.
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GARY D. HOLT, PAUL O. OLOMOLAIYE & FRANK C. HARRIS. (1994) Evaluating performance potential in the selection of construction contractors. Engineering, Construction and Architectural Management 1:1, pages 29-50.
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Gary D. Holt, Paul O. Olomolaiye & Frank C. Harris. (1994) Factors influencing U.K. construction clients' choice of contractor. Building and Environment 29:2, pages 241-248.
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Jeffrey S. Russell & Edward J. Jaselskis. (1992) Predicting Construction Contractor Failure Prior to Contract Award. Journal of Construction Engineering and Management 118:4, pages 791-811.
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