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Abdel-Wahab, M and Vogl, B (2011) Trends of productivity growth in the construction industry across Europe, US and Japan. Construction Management and Economics, 29(06), 635–44.
Bajjou, M S and Chafi, A (2022) Exploring the critical waste factors affecting construction projects. Engineering, Construction and Architectural Management, 29(06), 2268-99.
Camilleri, M, Jaques, R and Isaacs, N (2001) Impacts of climate change on building performance in New Zealand. Building Research & Information, 29(06), 430–50.
Chi, C S F and Nicole Javernick‐Will, A (2011) Institutional effects on project arrangement: high‐speed rail projects in China and Taiwan. Construction Management and Economics, 29(06), 595–611.
Edwards, D J (2001) Predicting construction plant maintenance expenditure. Building Research & Information, 29(06), 417–27.
Ekanayake, E M A C, Shen, G, Kumaraswamy, M and Owusu, E K (2022) A fuzzy synthetic evaluation of vulnerabilities affecting supply chain resilience of industrialized construction in Hong Kong. Engineering, Construction and Architectural Management, 29(06), 2358-81.
Gambatese, J A and Hallowell, M (2011) Enabling and measuring innovation in the construction industry. Construction Management and Economics, 29(06), 553–67.
Gidigah, B K, Agyekum, K and Baiden, B K (2022) Defining social value in the public procurement process for works. Engineering, Construction and Architectural Management, 29(06), 2245-67.
Gundes, S (2011) Input structure of the construction industry: a cross‐country analysis, 1968–90. Construction Management and Economics, 29(06), 613–21.
Hartono, B and Yap, C M (2011) Understanding risky bidding: a prospect‐contingent perspective. Construction Management and Economics, 29(06), 579–93.
Mohamed, E, Jafari, P and Hammad, A (2022) Mixed qualitative–quantitative approach for bidding decisions in construction. Engineering, Construction and Architectural Management, 29(06), 2328-57.
- Type: Journal Article
- Keywords: bid/no-bid decision; construction management; expert systems; fuzzy logic; procurement management; tendering
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-12-2020-1060
- Abstract:
Purpose: The bid/no-bid decision is critical to the success of construction contractors. The factors affecting the bid/no-bid decision are either qualitative or quantitative. Previous studies on modeling the bidding decision have not extensively focused on distinguishing qualitative and quantitative factors. Thus, the purpose of this paper is to improve the bidding decision in construction projects by developing tools that consider both qualitative and quantitative factors affecting the bidding decision. Design/methodology/approach: This study proposes a mixed qualitative-quantitative approach to deal with both qualitative and quantitative factors. The mixed qualitative-quantitative approach is developed by combining a rule-based expert system and fuzzy-based expert system. The rule-based expert system is used to evaluate the project based on qualitative factors and the fuzzy expert system is used to evaluate the project based on the quantitative factors in order to reach the comprehensive bid/no-bid decision. Findings: Three real bidding projects are used to investigate the applicability and functionality of the proposed mixed approach and are tested with experts of a construction company in Alberta, Canada. The results demonstrate that the mixed approach provides a more reliable, accurate and practical tool that can assist decision-makers involved in the bid/no-bid decision. Originality/value: This study contributes theoretically to the body of knowledge by (1) proposing a novel approach capable of modeling all types of factors (either qualitative or quantitative) affecting the bidding decision, and (2) providing means to acquire, store and reuse expert knowledge. Practical contribution of this paper is to provide decision-makers with a comprehensive model that mimics the decision-making process and stores experts’ knowledge in the form of rules. Therefore, the model reduces the administrative burden on the decision-makers, saves time and effort and reduces bias and human errors during the bidding process.
Murray, B and Smyth, H (2011) Franchising in the US remodelling market: growth opportunities and barriers faced by general contractors. Construction Management and Economics, 29(06), 623–34.
Musarat, M A, Alaloul, W S and Liew, M S (2022) Inflation rate and labours’ wages in construction projects: economic relation investigation. Engineering, Construction and Architectural Management, 29(06), 2461-94.
Navandar, Y V, Bari, C and Gaikwad, P G (2022) Failure factors–a comparative study of private and government construction firms. Engineering, Construction and Architectural Management, 29(06), 2495-513.
Rezakhani, P (2022) Project scheduling and performance prediction: a fuzzy-Bayesian network approach. Engineering, Construction and Architectural Management, 29(06), 2233-44.
Scheublin, F J M (2001) Project alliance contract in The Netherlands. Building Research & Information, 29(06), 451–5.
Shouman, B, Othman, A A E and Marzouk, M (2022) Enhancing users involvement in architectural design using mobile augmented reality. Engineering, Construction and Architectural Management, 29(06), 2514-34.
Taher, A, Vahdatikhaki, F and Hammad, A (2022) Formalizing knowledge representation in earthwork operations through development of domain ontology. Engineering, Construction and Architectural Management, 29(06), 2382-414.
van Manen, M, olde Scholtenhuis, L and Voordijk, H (2022) Empirically validating five propositions regarding 3D visualizations for subsurface utility projects. Engineering, Construction and Architectural Management, 29(06), 2535-53.
Wang, K, Ke, Y, Liu, T and Sankaran, S (2022) Social sustainability in Public–Private Partnership projects: case study of the Northern Beaches Hospital in Sydney. Engineering, Construction and Architectural Management, 29(06), 2437-60.
Wang, Z, Xie, W and Liu, J (2022) Regional differences and driving factors of construction and demolition waste generation in China. Engineering, Construction and Architectural Management, 29(06), 2300-27.
Westberg, K, Noren, J and Kus, H (2001) On using available environmental data in service life estimates. Building Research & Information, 29(06), 428–39.
Yap, J B H, Skitmore, M, Lim, Y W, Loo, S C and Gray, J (2022) Assessing the expected current and future competencies of quantity surveyors in the Malaysian built environment. Engineering, Construction and Architectural Management, 29(06), 2415-36.
Zhang, H, Xing, F and Liu, J (2011) Rehabilitation decision-making for buildings in the Wenchuan area. Construction Management and Economics, 29(06), 569–78.