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Charkhakan, M H and Heravi, G (2023) Quantifying the predictability and preventability of conflicts between construction project parties. Engineering, Construction and Architectural Management, 30(05), 1932-50.

Chew, M Y L (2002) Resistance of polyurethane sealants to hot water. Building Research & Information, 30(05), 367–71.

Choy, L H T, Ho, W K O and Mak, S W K (2012) Housing attributes and Hong Kong real estate prices: a quantile regression analysis. Construction Management and Economics, 30(05), 359-66.

Jacobsson, M and Linderoth, H C J (2012) User perceptions of ICT impacts in Swedish construction companies: 'it's fine, just as it is'. Construction Management and Economics, 30(05), 339-57.

Kerali, A G and Thomas, T H (2002) Effect of mix retention and curing on low-cement walling blocks. Building Research & Information, 30(05), 362–6.

Khanh, H D, Kim, S Y and Linh, L Q (2023) Construction productivity prediction through Bayesian networks for building projects: case from Vietnam. Engineering, Construction and Architectural Management, 30(05), 2075-100.

  • Type: Journal Article
  • Keywords: Bayesian networks; building project; construction management; productivity; structural work
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/ECAM-07-2021-0602
  • Abstract:

    Purpose: This study aims to focus on exploring the construction productivity of building projects under the influence of potential factors. The three primary purposes are (1) determining critical factors affecting construction productivity; (2) identifying causal relationship and occurrence probability of these factors to develop a Bayesian network (BN) model; and (3) validating the accuracy of predictions from the proposed BN model via a case study. Design/methodology/approach: A conceptual framework that includes three performance stages was used. Twenty-two possible factors were screened from a comprehensive literature review and evaluated through expert opinions. Data were collected using a structured questionnaire-based survey and case-study-based survey. The sampling methods were based on non-probability sampling. Findings: Worker characteristic-related factors significantly affect labour productivity for a construction task. Construction productivity is dominated by the working frequency of workers (overtime), complexity of the task, level of technology application and accidents. Labour productivity is defined as nearly 50% of the baseline productivity using the BN model created by the caut 2sal relationship and probability of factors. The prediction error of the BN model was 6.6%, 10.0% and 9.3% for formwork (m2/h), reinforcing steel (ton/h) and concrete (m3/h), respectively. Research limitations/implications: The evaluation or prediction of productivity performance has become a necessary topic for research and practice. Practical implications: Managers and practitioners in the construction sector can utilise the outcome of this study to create good productivity management policies for their prospective projects. Originality/value: Worker-related characteristics are dominant among critical factors affecting labour productivity for a construction task; the proposed BN-based predictive model is built based on these critical factors. The BN approach is highly accurate for construction productivity prediction. The findings of this study can fill gaps in the construction management body of knowledge when modelling construction productivity under the effects of multiple factors and using a simple probabilistic graphic tool.

Kohler, N and Lutzkendorf, T (2002) Integrated life-cycle analysis. Building Research & Information, 30(05), 338–48.

Liang, R, Li, R, Yan, X, Xue, Z and Wei, X (2023) Evaluating and selecting the supplier in prefabricated megaprojects using extended fuzzy TOPSIS under hesitant environment: a case study from China. Engineering, Construction and Architectural Management, 30(05), 1902-31.

Lingard, H C, Cooke, T and Blismas, N (2012) Designing for construction workers' occupational health and safety: a case study of socio-material complexity. Construction Management and Economics, 30(05), 367-82.

Liu, L, Wang, X and Sheng, Z (2012) Achieving ambidexterity in large, complex engineering projects: a case study of the Sutong Bridge project. Construction Management and Economics, 30(05), 399-409.

Maharjan, S, Shrestha, P P and Srirangam, D (2023) Impact of mobilization costs on schedule performance of highway projects. Engineering, Construction and Architectural Management, 30(05), 2008-25.

Mansoori, S, Harkonen, J and Haapasalo, H (2023) Productization and product structure enabling BIM implementation in construction. Engineering, Construction and Architectural Management, 30(05), 2155-84.

Moshtaghian, F and Noorzai, E (2023) Integration of risk management within the building information modeling (BIM) framework. Engineering, Construction and Architectural Management, 30(05), 1951-77.

Osuizugbo, I C, Kukoyi, P O, Abisuga, A O and Ibrahim, K (2023) Choosing to be a craftsperson: factors influencing career decision-making among apprentices. Engineering, Construction and Architectural Management, 30(05), 2026-47.

Pham, H T, Pham, T, Truong Quang, H and Dang, C N (2023) Impact of transformational leadership on green learning and green innovation in construction supply chains. Engineering, Construction and Architectural Management, 30(05), 1883-901.

Qabaja, M and Tenekeci, G (2023) Nexus between construction sector and economic indicators for Turkey and European Union evidenced by panel data analysis. Engineering, Construction and Architectural Management, 30(05), 1978-2007.

Sena, T C and Fabricio, M M (2023) Framework proposal for BIM implementation in Brazilian construction and development companies. Engineering, Construction and Architectural Management, 30(05), 2101-23.

Sompolgrunk, A, Banihashemi, S, Hosseini, M R, Golzad, H and Hajirasouli, A (2023) An integrated model of BIM return on investment for Australian small- and medium-sized enterprises (SMEs). Engineering, Construction and Architectural Management, 30(05), 2048-74.

Stasinopoulos, T N (2023) Comparing insolation on building façades in five different climates. Engineering, Construction and Architectural Management, 30(05), 1835-63.

Straub, A (2002) Strategic technical management of housing stock: lessons from Dutch housing associations. Building Research & Information, 30(05), 372–81.

Tam, C M, Tam, V W Y and Zeng, S X (2002) Environmental Performance Evaluation (EPE) for construction. Building Research & Information, 30(05), 349–61.

Wuni, I Y, Shen, G Q and Saka, A B (2023) Computing the severities of critical onsite assembly risk factors for modular integrated construction projects. Engineering, Construction and Architectural Management, 30(05), 1864-82.

Zhang, Q, Oo, B L and Lim, B T H (2023) Key practices and impact factors of corporate social responsibility implementation: Evidence from construction firms. Engineering, Construction and Architectural Management, 30(05), 2124-54.

Zimina, D, Ballard, G and Pasquire, C (2012) Target value design: using collaboration and a lean approach to reduce construction cost. Construction Management and Economics, 30(05), 383-98.