Pre-Selection of Construction Consultants based on Attributes of Trust

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
EditorsSimon Smith
Place of PublicationSchool of Construction Management and Engineering, University of Reading, PO Box 219, Reading, RG6 6AW, UK
Pages717-726
Number of pages10
Volume1
Publication statusPublished - 3 Sep 2012
Event28th Annual ARCOM Conference - Edinburgh, UK.
Duration: 3 Sep 2012 → …

Conference

Conference28th Annual ARCOM Conference
Period3/09/12 → …

Fingerprint

Consultants
Selection process
Selection model
Service quality
Costs
Qualification
Knowledge gap
Decision-making process
Organizational trust
Collaborative relationships
Questionnaire survey
Principal component analysis
Factors
Construction management
Construction industry

Keywords

  • Consultant selection
  • pre-selection
  • principal component analysis
  • trust.

Cite this

McClements, S., Odeyinka, H., & Eadie, R. (2012). Pre-Selection of Construction Consultants based on Attributes of Trust. In S. Smith (Ed.), Unknown Host Publication (Vol. 1, pp. 717-726). School of Construction Management and Engineering, University of Reading, PO Box 219, Reading, RG6 6AW, UK.
McClements, Sharon ; Odeyinka, Henry ; Eadie, Robert. / Pre-Selection of Construction Consultants based on Attributes of Trust. Unknown Host Publication. editor / Simon Smith. Vol. 1 School of Construction Management and Engineering, University of Reading, PO Box 219, Reading, RG6 6AW, UK, 2012. pp. 717-726
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note = "Reference text: Bartlett M.,S., (1954): {"}A note on multiplying factors for various chi-squared approximations.{"}, Journal of the Royal Statistical Society, Series B 16: 296–298 Bohn, D. (2004). Role of civil engineer evolves to become more sophisticated, Boston Business Journal - http://www.bizjournals.com/boston/stories/2004/04/05/focus6.html CIB (1996) “Constructing a better image”, CIB working group 7, Britain, Gray Press. consultancy – present trends in the construction industry”, Cooley, M.S. (1994), ‘Selecting the right consultants’, HR Magazine 8(39), 100-103 Davies, S. 1983 Against the professions. Libertarian Alliance – Political Notes No.19. FIDIC (2003) “Selection of Consultants”, International Federation of Consulting Engineers (F{\'e}deration Internationale des http://www.docstoc.com/docs/93636535/The-importance-of-sample-size-when-using-factoranalysis-in http://www.docstoc.com/docs/93636535/The-importance-of-sample-size-when-using-factoranalysis- in Ing{\'e}nieurs-Conseils). Jaggar, D., Ross, A., and Love, PED. (2001), “Overcoming information opacity in construction”, Journal of Enterprise Information Management 14(5/6) Kaiser, H.F. (1974), {"}An index of factorial simplicity{"}, Pschometrika, 39, 31-6. Leung, C.M., (1995) “Design Consultancy vs Design and build Lingard, H.C. and Rowlinson, S. (2011) ‘The Importance of sample size when using factor analysis. Available on line at: Lingard, H.C. and Rowlinson, S. (2011) ‘The Importance of sample size when using factor analysis. Available on line at: McDermott, P., Khalfan, M.M.A. and Swan, W. (2004), “ An exploration of the relationship between trust and collaborative working in the construction sector”. Construction Information Quarterly, 6 (4) Pages140-146 Ng, S.T., Chow, L.T. 2004. ‘Evaluating Engineering Consultants’ general capabilities during the pre-selection process- a Hong Kong study’. Engineering, Construction and Architectural Management, 11(3), 150-158. Norusis, M.J. (2006) “SPSS 15.0 Statistical Procedures Companion”. NJ, Prentice Hall. of Hong Kong OGC ;; (2003)‘Achieving Excellence Guide 6: Procurement and Contract Strategies’, London,H.M.S.O. ONS (2008) Construction Output, London ONS. Price, N.N., Dainty, A.D.F., Bryman, A.R.J., Greasley, K. and Soetanto, R. (2005), ‘Engendering trust in the construction supply chain’, Journal of Construction Procurement, 11(2), 136-153. Rogers, R. W. (1995). “The psychological contract of trust - part I”. Journal of Executive Development ,8(1), 15 – 19. Rowlinson, S. and McDermott, P.,(1999). “Procurement systems - a guide to best practice in construction”, London, E& FN Spon. Sahay, B.S. (2003),” Understanding trust in supply chain relationships”, Journal of Industrial Management & Data Systems, 103(8), 553 – 563 Shamir, B., Zakay, E., Breinin, E. and Popper, M. (1998). “Correlates of charismatic leader behaviour in military units: subordinates’ attitudes , unit characteristics, and supervisors’ appraisal of leader performance”, Academy of Management Journal, 41, 387-409. Sharma, N., & Patterson, P. G. (1999). ‘The impact of communication effectiveness and service quality on relationship commitment in consumer, professional services’, Journal of Services Marketing, 13 (2), 151-171. Temple, M (2006). “Studying the Built Environment”, Hampshire, Palgrave Macmillan. Thesis Master of Business and Administration, Hong Kong University",
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McClements, S, Odeyinka, H & Eadie, R 2012, Pre-Selection of Construction Consultants based on Attributes of Trust. in S Smith (ed.), Unknown Host Publication. vol. 1, School of Construction Management and Engineering, University of Reading, PO Box 219, Reading, RG6 6AW, UK, pp. 717-726, 28th Annual ARCOM Conference, 3/09/12.

Pre-Selection of Construction Consultants based on Attributes of Trust. / McClements, Sharon; Odeyinka, Henry; Eadie, Robert.

Unknown Host Publication. ed. / Simon Smith. Vol. 1 School of Construction Management and Engineering, University of Reading, PO Box 219, Reading, RG6 6AW, UK, 2012. p. 717-726.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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McClements S, Odeyinka H, Eadie R. Pre-Selection of Construction Consultants based on Attributes of Trust. In Smith S, editor, Unknown Host Publication. Vol. 1. School of Construction Management and Engineering, University of Reading, PO Box 219, Reading, RG6 6AW, UK. 2012. p. 717-726