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Pre-Selection of Construction Consultants based on Attributes of Trust

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

McClements, Sharon, Odeyinka, Henry and Eadie, Robert (2012) Pre-Selection of Construction Consultants based on Attributes of Trust. In: 28th Annual ARCOM Conference, Edinburgh, UK.. ARCOM, Association of Researchers in Construction Management. Vol 1 10 pp. [Conference contribution]

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Abstract

A review of construction consultants’ selection identified weaknesses in the process that focused on cost and technical abilities alone. This paper presents a construction consultant pre-selection factor model based on attributes of trust, which attempts to improve consultant selection processes. A review of related literature shows that trust was found to enhance the decision making process. However, there is a knowledge gap in construction management literature as regards what constitute the attributes of trust which can be of benefit to the construction client or its agent in selecting appropriate consultants. In total 37 consultant selection trust attributes thought to potentially influence consultant pre-selection were identified from literature. Based on these attributes, a structured questionnaire survey was designed using a Likert-type scale and administered online to 189 willing construction clients. Survey responses were analysed using principal component analysis. This led to the development of an 8-factor model of consultant pre selection, namely, (1) service quality,(2) collaborative relationships, (3) qualification, (4) organisational trust, (5) personal qualities, (6) ability, (7) experience and (8) respect. The research provides the construction industry clients with a practical 8-factor pre selection model that can be effectively used by the construction clients to improve the consultant selection process.

Item Type:Conference contribution (Paper)
Keywords:Consultant selection, pre-selection, principal component analysis, trust.
Faculties and Schools:Faculty of Art, Design and the Built Environment
Faculty of Art, Design and the Built Environment > School of the Built Environment
Research Institutes and Groups:Built Environment Research Institute
Built Environment Research Institute > Centre for Sustainable Technologies (CST)
ID Code:23282
Deposited By:Dr Robert Eadie
Deposited On:25 Sep 2012 16:33
Last Modified:25 Sep 2012 16:33

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