Paper Titles

Study of Earthquake Data for Cumulative Absolute Velocity and Acceleration Peak Value
p.741

Study on Energy-Saving Technology and Design Optimization of Facade in Cold and Severe Cold Area
p.747

Study of Urban Storm Intensity
p.752

Deep Hole Bench Blasting with Low Explosive Consumption in Leveling Site
p.757

A Trust-Based Method in Construction Industry
p.762

Confined-Accelerated Creep Tests to Determine the Creep Reduction Factor
p.769

Study on Construction Project Planning and Acceptance Completion Measurement
p.774

Flotation Research of a Fluorite Ore
p.781

Preparing and Sphericizing Ultrafine Graphite Particles with Stirred Mill
p.785

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 539A Trust-Based Method in Construction Industry

A Trust-Based Method in Construction Industry

Article Preview

Abstract:

This paper presents a method for construction contractor selection based on trust building. By classifying criteria into three types of trust and applying gray correlation analysis, the presented method concerns multi-criteria for evaluation other than price, selects trust-and selection-related criteria, provides approaches for indicator quantification and determines the contractor on the basis of gray correlation degree.

You might also be interested in these eBooks

Advanced Engineering Solutions

Info:

Periodical:

Applied Mechanics and Materials (Volume 539)

Pages:

762-768

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.539.762

Citation:

Cite this paper

Online since:

July 2014

Authors:

Jing Xu, Yan Xin Liu, Lan Fang Luo

Keywords:

Contractor Selection, Gray Correlation Analysis, Trust

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Mohammed S. EI-Abbasy, Tarek Zayed, M. ASCE, Marwa Ahmed, Hani Alzraiee, Mona Abouhamad, 2013. Contractor selection model for highway projects using integrated simulation and Analytic Network Process. Journal of Construction Engineering and Management, 139, 755-767.

DOI: 10.1061/(asce)co.1943-7862.0000647

[2] Jeffrey K. Pinto, Dennis P. Slevin, Brent English, 2009. Trust in projects: An empirical assessment of owner/contractor relationships. International Journal of Project Management, 27(2009), 638-648.

DOI: 10.1016/j.ijproman.2008.09.010

[3] Ramy Zaghloul, Francis Hartman, 2003. Construction contracts: the cost of mistrust. International Journal of Project Management 21 (2003) , 419-424.

DOI: 10.1016/s0263-7863(02)00082-0

[4] Edkins, A.J., Smyth, H.J., 2006. Contractual management in PPP projects: evaluation of legal versus relational contracting for service delivery. ASCE Journal of Professional Issues in Engineering Education and Practice 132 (1), 82–93.

DOI: 10.1061/(asce)1052-3928(2006)132:1(82)

[5] Hatush, Z., and Skitmore, M., 1997. Quality based prequalification of contractors. J. Transp. Res. Board, 1813(0361-1981), 260-274.

[6] Holt, G., Olomolaiye, P. and Harris, F., 1995. A review of contractor selection practices in the U.K. construction industry. Build Environment, 30(4), 533-561.

DOI: 10.1016/0360-1323(95)00008-t

[7] Nurei, A., and Watada, J., 2011. Muilti-attribute decision making in contractor selection under hybrid uncertainty. J. Adv. Comput. Intell. Intell. Inf., 15(4), 465-472.

DOI: 10.20965/jaciii.2011.p0465

[8] Rosseau DM, Sitkin B, Burt RS, Camerer C, 1998. Not so different after all: a cross-discipline view of trust. Academy of Management Review, 23(3), 393–404.

DOI: 10.5465/amr.1998.926617

[9] Lewicki RJ, Bunker BB, 1996. Developing and maintaining trust in work relationships. In: Kramer RM, Tyler TR, editors. Trust in organizations: frontiers of theory and research. Sage Publications; 1996. pp.114-39.

DOI: 10.4135/9781452243610.n7

[10] Cheung, S.O., 2007. Trust in Co-operative Contracting in Construction. City University of Hong Kong Press, Hong Kong.

[11] Black C, Akintoye A, Fitzgerald E, 2000. An analysis of success factors and benefits of partnering in construction. Int J Project Manage, 18(6), 423–34.

DOI: 10.1016/s0263-7863(99)00046-0

[12] Sai On Cheung, Tak Wing Yiu and Man Chung Lam, 2013. Interweaving Trust and Communication with Project Performance Journal of construction engineering and management, 941-950.

DOI: 10.1061/(asce)co.1943-7862.0000681

[13] Photis M. Panayides, Y.H. Venus Lun, 2009. The impact of trust on innovativeness and supply chain performance. Int. J. Production Economics, 35-46.

DOI: 10.1016/j.ijpe.2008.12.025

[14] Russell, J. S., and Skibniewski, M. J., 1990. QUALIFIER-1 contractor prequalification model. J. Comput. Civ. Eng., 4(1), 77-90.

DOI: 10.1061/(asce)0887-3801(1990)4:1(77)

[15] Holt, G. D., 1996. Applying cluster analysis to construction contractor classification. Build. Environ., 31(6), 557-568.

DOI: 10.1016/0360-1323(96)00028-5

[16] Topcu, Y. I., 2004. A decision model proposal for construction contractor selection in Turkey. Build. Environ., 39(4), 469–481.

DOI: 10.1016/j.buildenv.2003.09.009

[17] McCabe, B., Tran, V., and Ramani, J., 2005. Construction prequalification using data envelopment analysis. Can. J. Civ. Eng., 32(1), 183–193.

DOI: 10.1139/l04-073

[18] Singh, D., and Tiong, R. L. K., 2005. A fuzzy decision framework for contractor selection. J. Constr. Eng. Manage., 131(1), 62–70.

DOI: 10.1061/(asce)0733-9364(2005)131:1(62)