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Abuzeinab, A, Arif, M, Qadri, M A and Kulonda, D (2018) Green business models in the construction sector: An analysis of outcomes and benefits. Construction Innovation, 18(01), 20-42.

Al Hattab, M, Zankoul, E, Barakat, M and Hamzeh, F (2018) Crane overlap and operational flexibility: Balancing utilization, duration, and safety. Construction Innovation, 18(01), 43-63.

Hosseini, M R, Bosch-Sijtsema, P, Arashpour, M, Chileshe, N and Merschbrock, C (2018) A qualitative investigation of perceived impacts of virtuality on effectiveness of hybrid construction project teams. Construction Innovation, 18(01), 109-31.

Khanzadi, M, Nasirzadeh, F, Mir, M and Nojedehi, P (2018) Prediction and improvement of labor productivity using hybrid system dynamics and agent-based modeling approach. Construction Innovation, 18(01), 2-19.

Marzouk, M and Mohamed, E (2018) Modeling bid/no bid decisions using fuzzy fault tree. Construction Innovation, 18(01), 90-108.

  • Type: Journal Article
  • Keywords: Egypt,decision making,bidding,procurement management,construction contractors,bid/no bid decision,fuzzy fault tree,statistical tests,tendering systems
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/CI-11-2016-0060
  • Abstract:
    Purpose Decisions by construction contractors to bid (or not to bid) require the thorough assessment and evaluation of factors relevant to the decision, as well as the quantification of their combined impact, to produce successful bid/no-bid decisions. The purpose of this study is to present a fuzzy fault tree model to assist construction contractors to more efficiently bid for future projects. Design/methodology/Approach The proposed model consist of two stages: first, identification of the factors that affect bidding decision using a questionnaire survey after an extensive literature review, and second, usage of the identified factors to build a fuzzy fault tree model to simulate the bidding decision. Findings A list of 15 factors that affect bid/no-bid decisions was identified. Analysis of factors revealed that the highest-ranking factors were related to financial aspects of the project. A case study is presented to demonstrate the capabilities of the model, and a fuzzy important analysis is performed on the basic events to demonstrate the differences between three contractors’ bid/no-bid decisions. The results reveal that there is variation between the decisions of each contractor based on their willingness to participate. Besides, the influence of evaluation factors on the final decision for each contractor is different. Originality/value The study contributes to the body of knowledge on tendering and bidding practices. The proposed model incorporated the fuzzy set theory, which suits human subjectivity. The proposed methodology overcomes the limitations of previous models as it can, using the linear pool opinion principle, combine and weigh the evaluations of multiple experts. In addition, the model is convenient for situations where historical data are not available.

Saini, M, Arif, M and Kulonda, D J (2018) Critical factors for transferring and sharing tacit knowledge within lean and agile construction processes. Construction Innovation, 18(01), 64-89.