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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.
- Type: Journal Article
- Keywords: balanced scorecard (bsc); causes of delay; construction project management; critical project success delay factors; delay risk management; key performance indicators; planning; quality function deployment (qfd)
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-12-2020-1082
- Abstract:
Purpose: Delays occur mostly in the construction process of many projects, which can have a consequent effect on the overall performance of the project in areas such as profitability, efficiency and safety. This study aims to suggest a structure that can be applied to manage construction projects effectively and, thus, to reduce delays. The integrated balanced scorecard (BSC) and quality function deployment (QFD) framework proposed in the present study enabled the identification and ranking of the objectives of the financial perspective and the enablers of construction delay mitigation. This will help construction industry professionals prioritize the enabling factors that influence the financial perspective, thereby helping them focus on the achievement of the most important ones which subsequently results in efficiency. Consequently, more tasks are accomplished with the use of less time and resources as the actions tend to be more narrowly focused on the achievement of the most important factors such as client and contractor-related factors, as opposed to the low-value adding factors. Design/methodology/approach: A literature review was conducted to determine the essential factors that would help resolve or reduce delays. A total of 41 mitigation factors (seven financial objectives and 36 enabler objectives) were identified and categorized into four BSC perspectives: financial, client, contractor and project management team, and innovation and learning. Two management tools, the BSC and QFD, were used to develop the system based on the mitigation factors defined. Findings: The results of this study show that the most significant factors affecting the achievement of the financial objectives of the project are mainly customer-related factors, accompanied by factors related to contractors and project management teams. With the fishbone diagram and cause and effect analysis, the proposed BSC and QFD system provides a long-term approach for all stakeholders to help professionals in the construction industry prioritize and reduce delays more effectively. Moreover, the findings of the present study highlight the utility of the integrated BSC and QFD framework in quantifying the strengths of association of different objectives of the financial perspective and the enablers of construction delay mitigation. Originality/value: The contribution of this paper to the body of knowledge is the proposed integrated structure for BSC and QFD that can serve as a comprehensive and structural approach to rating the essential enabling delay mitigation factors based on the magnitude of their effects on the financial performance of the project. The proposed framework can be considered a novel tool since this is the first integrated BSC and QFD framework for construction delay mitigation. Finally, the proposed BSC and QFD framework, along with the fishbone diagram and cause and effect analysis, provides a long-term strategy for all stakeholders to mitigate delays. Thus, the proposed integrated BSC and QFD framework can serve as a systematic and structural approach for measuring the strength of influence of the enablers of delay mitigation against the financial perspective.
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.
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.
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Pemsel, S and Widén, K (2011) Bridging boundaries between organizations in construction. Construction Management and Economics, 29(05), 495–506.
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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.