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Afzal, F, Yunfei, S, Sajid, M and Afzal, F (2019) Integrated priority decision index for risk assessment in chaos: cost overruns in transport projects. Engineering, Construction and Architectural Management, 27(04), 825–49.

Bonanomi, M M, Hall, D M, Staub-French, S, Tucker, A and Talamo, C M L (2019) The impact of digital transformation on formal and informal organizational structures of large architecture and engineering firms. Engineering, Construction and Architectural Management, 27(04), 872–92.

Cole, R J (1999) Building environmental assessment methods: clarifying intentions. Building Research & Information, 27(04), 230–46.

Cole, R J (1999) Postscript: Green Building Challenge 2000. Building Research & Information, 27(04), 342–3.

Cole, R J and Larsson, N K (1999) GBC '98 and GBTool: background. Building Research & Information, 27(04), 221–9.

Cole, R J and Mitchell, L (1999) Customizing and using GBTool: two case-study projects. Building Research & Information, 27(04), 257–76.

Comet, C (2009) Social capital and profits of small firms in the French construction industry. Construction Management and Economics, 27(04), 411–8.

El-Sayegh, S M (2009) Multi-criteria decision support model for selecting the appropriate construction management at risk firm. Construction Management and Economics, 27(04), 385–98.

Feghaly, J, El Asmar, M, Ariaratnam, S and Bearup, W (2019) Selecting project delivery methods for water treatment plants. Engineering, Construction and Architectural Management, 27(04), 936–51.

  • Type: Journal Article
  • Keywords: Management; Decision-support tool; Water industry; Design-build; Project delivery method selection factors; Alternative project delivery methods; Construction management at risk;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-06-2019-0308
  • Abstract:
    The purpose of this paper is to identify key project delivery method selection factors to assist water industry decision-makers in selecting the most appropriate delivery method for their water treatment plant projects. Design/methodology/approach The selection factors were identified by compiling and validating key project delivery selection factors across various industries through an extensive literature review and two industry expert workshops. This resulted in the development of a web-based decision-support tool to facilitate project delivery method selection within the water industry. Findings The research effort led to the identification of 13 key project delivery method selection factors (seven primary factors and six secondary factors) for water treatment plant projects. These factors were utilized to develop EXPRSS-TP, a pioneering web-based project delivery method decision-support tool for the water industry. Practical implications A project delivery method selection process is typically an informal process that may range from days to weeks at a time. Based on this work, the assessment can now be completed in about one hour and provides decision-makers with the most favorable delivery method for their project. And with the new tool that encompasses the new knowledge, not only is the decision reached at an accelerated pace, EXPRSS-TP also documents the entire selection process, allowing for a written and retained record of this key decision and its procedure. Originality/value This paper contributes to the exisiting body of knowledge by identifying key project delivery selection factors across numerous industries, assessing and combining them, and finally incorporating them into one comprehensive process. EXPRSS-TP improves the traditional project delivery method selection process and provides evidence-based project delivery method selection recommendations.

Glaumann, M, Malm, T and Larsson, J (1999) Evaluation of green buildings in Sweden. Building Research & Information, 27(04), 276–85.

Kannimuthu, M, Raphael, B, Ekambaram, P and Kuppuswamy, A (2019) Comparing optimization modeling approaches for the multi-mode resource-constrained multi-project scheduling problem. Engineering, Construction and Architectural Management, 27(04), 893–916.

Li, H, Lu, W and Huang, T (2009) Rethinking project management and exploring virtual design and construction as a potential solution. Construction Management and Economics, 27(04), 363–71.

Lingard, H C, Cooke, T and Blismas, N (2009) Group-level safety climate in the Australian construction industry: within-group homogeneity and between-group differences in road construction and maintenance. Construction Management and Economics, 27(04), 419–32.

Liu, J and Cheah, C Y J (2009) Real option application in PPP/PFI project negotiation. Construction Management and Economics, 27(04), 331–42.

Luo, M, Fan, H and Liu, G (2019) Measuring regional differences of construction productive efficiency in China. Engineering, Construction and Architectural Management, 27(04), 952–74.

Ma, H, Liu, Z, Zeng, S, Lin, H and Tam, V W (2019) Does megaproject social responsibility improve the sustainability of the construction industry?. Engineering, Construction and Architectural Management, 27(04), 975–96.

Manoliadis, O G, Pantouvakis, J-P and Christodoulou, S E (2009) Improving qualifications-based selection by use of the fuzzy Delphi method. Construction Management and Economics, 27(04), 373–84.

Rees, W E (1999) The built environment and the ecosphere: a global perspective. Building Research & Information, 27(04), 206–20.

Smyth, H and Fitch, T (2009) Application of relationship marketing and management: a large contractor case study. Construction Management and Economics, 27(04), 399–410.

Todd, J A and Geissler, S (1999) Regional and cultural issues in environmental performance assessment for buildings. Building Research & Information, 27(04), 247–56.

Tone, K, Skitmore, M and Wong, J K W (2009) An investigation of the impact of cross-cultural communication on the management of construction projects in Samoa. Construction Management and Economics, 27(04), 343–61.

Viles, E, Rudeli, N C and Santilli, A (2019) Causes of delay in construction projects: a quantitative analysis. Engineering, Construction and Architectural Management, 27(04), 917–35.

Wang, S, Tang, J, Zou, Y and Zhou, Q (2019) Research on production process optimization of precast concrete component factory based on value stream mapping. Engineering, Construction and Architectural Management, 27(04), 850–71.