Abstracts – Browse Results
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Akunyumu, S, Fugar, F D K, Adinyira, E and Danku, J C (2021) A review of models for assessing readiness of construction organisations to innovate. Construction Innovation, 21(2), 279-99.
Alvanchi, A, Bajalan, Z and Iravani, P (2021) Emission assessment of alternative dam structure types, a novel approach to consider in new dam projects. Construction Innovation, 21(2), 203-17.
Chileshe, N, Kavishe, N and Edwards, D J (2021) Critical factors influencing the bid or no-bid decision of the indigenous small building contractors in Tanzania. Construction Innovation, 21(2), 182-202.
Elhegazy, H, Ebid, A, Mahdi, I, Haggag, S and Abdul-Rashied, I (2021) Implementing QFD in decision making for selecting the optimal structural system for buildings. Construction Innovation, 21(2), 345-60.
Garg, R, Chhikara, R, Singh, R, Agrawal, G, Talwar, V and Mehra, V (2021) A qualitative study to understand the factors affecting the adoption of glass fiber-reinforced gypsum (GFRG) as a sustainable building technology: insights from Indian construction industry. Construction Innovation, 21(2), 321-44.
Li, H, Su, L, L.V, L and Xia, Q (2021) Detecting unbalanced bidding to achieve economic sustainability using fuzzy logic approach. Construction Innovation, 21(2), 164-81.
- Type: Journal Article
- Keywords: economic sustainability; fuzzy comprehensive evaluation; unbalanced bidding; procurement
- ISBN/ISSN:
- URL: https://doi.org/10.1108/CI-11-2019-0136
- Abstract:
To achieve sustainability for a construction project requires the achievement of economic, environmental and social sustainability at the same time. The economic sustainability of a project should be built into the stipulated cost. The unbalanced bidding always contribute cost overrun for a construction project. The purpose of this paper is to develop a method for identifying unbalanced bidding. The problem of identifying unbalanced bidding is a comprehensive evaluation problem. All line items and bidders in bills of quantities are evaluation factors and evaluation objects, respectively, and the engineer's estimated prices are considered as the evaluation benchmarks. The weights of these factors are determined through integrating the entropy weight method and the analytic hierarchy model, which consider subjective and objective factors in the weighting process. The proposed model can be used to quantitatively evaluate unbalanced bids. The identification process can be analyzed within a short period, specifically with the aid of Microsoft Excel, reducing delays in awarding contracts. The results show that the model will support owners as they efficiently and effectively identify unbalanced bids in the bid evaluation stage to mitigate the negative consequences of unbalanced bidding. Practical implications: A case study is given to verify the feasibility and practicability of the proposed method, which not only assists owners in efficiently and effectively identifying unbalanced bidding, but also promotes the economic sustainability of construction projects. The fuzzy comprehensive evaluation method is used to detect unbalanced bidding, allowing owners to be objective as they identify and reduce unbalanced bidding at the procurement stage.
Marzouk, M and Ashmawy, M M (2021) Assessment of highways concrete and asphalt pavements using superiority inferiority ranking technique. Construction Innovation, 21(2), 259-78.
Ormeño Zender, Y and García de Soto, B (2021) Use of Scrum in the rehabilitation of a commercial building in Peru. Construction Innovation, 21(2), 145-63.
Rodrigues, F, Antunes, F and Matos, R (2021) Safety plugins for risks prevention through design resourcing BIM. Construction Innovation, 21(2), 244-58.
Silverio-Fernández, M A, Renukappa, S and Suresh, S (2021) Strategic framework for implementing smart devices in the construction industry. Construction Innovation, 21(2), 218-43.
Vaz-Serra, P and Edwards, P (2021) Addressing the knowledge management "nightmare” for construction companies. Construction Innovation, 21(2), 300-20.