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Aibinu, A A, Ling, F Y Y and Ofori, G (2011) Structural equation modelling of organizational justice and cooperative behaviour in the construction project claims process: contractors' perspectives. Construction Management and Economics, 29(05), 463–81.
Alemu, S K (2022) Construction time prediction model for public building projects. Engineering, Construction and Architectural Management, 29(05), 2183-206.
Cole, R J (2001) Lessons learned, future directions and issues for GBC. Building Research & Information, 29(05), 355–73.
Deal, B (2001) Ecological urban dynamics: the convergence of spatial modelling and sustainability. Building Research & Information, 29(05), 381–93.
Elkabalawy, M and Moselhi, O (2022) Optimized resource-constrained method for project schedule compression. Engineering, Construction and Architectural Management, 29(05), 2106-29.
Gambatese, J A and Hallowell, M (2011) Factors that influence the development and diffusion of technical innovations in the construction industry. Construction Management and Economics, 29(05), 507–17.
Garay, A, Ruiz, A and Guevara, J (2022) Dynamic evaluation of thermal comfort scenarios in a Colombian large-scale social housing project. Engineering, Construction and Architectural Management, 29(05), 1909-30.
Gunduz, M and Al-Naimi, N H (2022) Construction projects delay mitigation using integrated balanced scorecard and quality function deployment. Engineering, Construction and Architectural Management, 29(05), 2073-105.
Hon, C K H, Sun, C, Xia, B, Jimmieson, N L, Way, K A and Wu, P P Y (2022) Applications of Bayesian approaches in construction management research: a systematic review. Engineering, Construction and Architectural Management, 29(05), 2153-82.
Hou, W and Wang, L (2022) Research on the refinancing capital structure of highway PPP projects based on dynamic capital demand. Engineering, Construction and Architectural Management, 29(05), 2047-72.
Jarkas, A and Horner, M (2011) Revisiting the applicability of learning curve theory to formwork labour productivity. Construction Management and Economics, 29(05), 483–93.
John, S T, Mohan, A, Philip, M S, Sarkar, P and Davis, R (2022) An IoT device for striking of vertical concrete formwork. Engineering, Construction and Architectural Management, 29(05), 1991-2010.
Kim, Y W, Han, S, Shin, S and Choi, K (2011) A case study of activity‐based costing in allocating rebar fabrication costs to projects. Construction Management and Economics, 29(05), 449–61.
Koc, K and Gurgun, A P (2022) Ambiguity factors in construction contracts entailing conflicts. Engineering, Construction and Architectural Management, 29(05), 1946-64.
- Type: Journal Article
- Keywords: ambiguity factors; construction contract; contract interpretation; fuzzy topsis; multi-criteria decision making; semantic risks
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-04-2020-0254
- Abstract:
Purpose: Conflicts, claims and disputes are inherent in most construction projects. Acceptable degree of commonality in the interpretation of contract provisions is critical in effective contract administration. This study aims to assess the effects of contract ambiguity factors on construction conflicts, highlighting the causes of divergent interpretations using fuzzy technique for order of preference by the similarity-to-ideal-solution (TOPSIS) method. Design/methodology/approach: Fuzzy TOPSIS framework with 27 ambiguity factors is constructed by conducting a comprehensive literature review, accompanied by a pilot study. Questionnaire survey is formed, and one-to-one interviews are arranged with 35 contract administration experts. Findings: The findings indicate that (1) ambiguity due to excessive changes in the bill of quantity (BOQ) (including ambiguous provisions related to BOQ changes), (2) incomplete clauses that do not describe the scope of the intended work purely, (3) ambiguity due to excessive amendments in the scope of works (including ambiguous provisions related to scope changes), (4) ambiguous enforceability including excessive demands and (5) ambiguous goal and performance requirements are the top five ambiguity factors affecting construction conflicts. Research limitations/implications: Presented framework is performed referring to ambiguity factors in all type of construction contracts in the general sense. However, the identified factors may vary depending on the project type, contract type, procurement method or use of standard contract forms (such as NEC, FIDIC). Originality/value: The literature lacks the investigation of ambiguity factors in construction contracts, yet the assessment of the effects of contract ambiguity is essential to minimize conflicts.
Larsson, N K and Cole, R J (2001) Green building challenge: the development of an idea. Building Research & Information, 29(05), 45.
Liou, F m, Yang, C h, Chen, B and Chen, W (2011) Identifying the Pareto‐front approximation for negotiations of BOT contracts with a multi‐objective genetic algorithm. Construction Management and Economics, 29(05), 535–48.
Luo, L, Zhang, L, Zheng, X and Wu, G (2022) A hybrid approach for investigating impacts of leadership dynamics on project performance. Engineering, Construction and Architectural Management, 29(05), 1965-90.
Mackley, C J and Milonas, S (2001) Knowledge transfer and Green Building Challenge. Building Research & Information, 29(05), 54.
Pemsel, S and Widén, K (2011) Bridging boundaries between organizations in construction. Construction Management and Economics, 29(05), 495–506.
Plessis, C d (2001) Sustainability and sustainable construction: the African context. Building Research & Information, 29(05), 374–80.
Rahmani, F, Scott-Young, C, Tadayon, A and van der Walt, J D (2022) Team composition in relational contracting (RC) in large infrastructure projects: a Belbin’s team roles model approach. Engineering, Construction and Architectural Management, 29(05), 2027-46.
Said, H, Mali, A and Deshmukh, A (2022) Identification and assessment of the unionization factors of the US electrical construction trade. Engineering, Construction and Architectural Management, 29(05), 2207-31.
Shah, R K and Dawood, N (2011) An innovative approach for generation of a time location plan in road construction projects. Construction Management and Economics, 29(05), 435–48.
Theaker, I G and Cole, R J (2001) The role of local governments in fostering 'green' buildings: a case study. Building Research & Information, 29(05), 394–408.
Thomas Ng, S, Fan, R Y C and Wong, J M W (2011) An econometric model for forecasting private construction investment in Hong Kong. Construction Management and Economics, 29(05), 519–34.
Todd, J A, Crawley, D, Geissler, S and Lindsey, G (2001) Comparative assessment of environmental performance tools and the role of the Green Building Challenge. Building Research & Information, 29(05), 324–35.
Wang, P, Fenn, P, Wang, K and Huang, Y (2022) A Bayesian belief network predictive model for construction delay avoidance in the UK. Engineering, Construction and Architectural Management, 29(05), 2011-26.
Zhang, N, Deng, X, Hwang, B G, Bi, M and Mahmoudi, A (2022) A novel approach to selecting the best partner for high-speed rail firms. Engineering, Construction and Architectural Management, 29(05), 2130-52.