Abstracts – Browse Results
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Aboseif, E and Hanna, A S (2024) Benchmarking of construction projects performance for comparative assessment and performance improvement: a statistical quantitative approach. Engineering, Construction and Architectural Management, 31(07), 2829-51.
Al-Hadidi, S, Sweis, G, Abu-Khader, W, Abu-Rumman, G and Sweis, R (2024) Managing future urbanization growth patterns using genetic algorithm modeling. Engineering, Construction and Architectural Management, 31(07), 2648-68.
Delgado-Hernández, D J and Palacios-Navarro, U J (2024) A Bayesian network for selecting improvement management tools to increase customer satisfaction in the construction industry: case study of Mexico. Engineering, Construction and Architectural Management, 31(07), 2900-15.
Gibson, G E, El Asmar, M, Yussef, A and Ramsey, D (2024) A novel approach for measuring the accuracy of front end engineering design. Engineering, Construction and Architectural Management, 31(07), 2669-96.
Guo, J, Xiang, P, Liu, Q and Luo, Y (2024) Transportation infrastructure network optimisation based on computer simulation using Sichuan Province, China as an example. Engineering, Construction and Architectural Management, 31(07), 2740-69.
Khan, S, Panuwatwanich, K and Usanavasin, S (2024) Integrating building information modeling with augmented reality: application and empirical assessment in building facility management. Engineering, Construction and Architectural Management, 31(07), 2809-28.
Khanapure, V U and Shastri, S S (2024) A sustainable–lean implementation methodology: a catalyst for sustainability enhancement of high-rise residential projects. Engineering, Construction and Architectural Management, 31(07), 2585-603.
Kum, Y T, Yap, J B H, Lew, Y L and Lee, W P (2024) Transforming construction health and safety management during COVID-19 pandemic using innovative technologies: PLS-SEM approach. Engineering, Construction and Architectural Management, 31(07), 2770-808.
- Type: Journal Article
- Keywords: construction industry; construction technologies; COVID-19 pandemic; health and safety management
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-08-2022-0780
- Abstract:
Purpose: This study aims to investigate technology-based health and safety (H&S) management to control the spread of disease on construction sites using a partial least squares structural equation modelling (PLS-SEM) approach. Design/methodology/approach: An extensive literature review is conducted to develop a conceptual framework. The variables identified from the literature review are included in a cross-sectional survey which gathered a total of 203 valid feedback. The variables for challenges are grouped under their relevant construct using exploratory factor analysis. Then, a hypothesized model is developed for PLS-SEM analysis using Smart PLS software. Later, the outcome of the model is further validated by nine construction experts using a semi-structured questionnaire survey. Findings: The results rationalized the relationships between the COVID-19 H&S measures, challenges in implementing COVID-19 H&S measures on construction sites and the innovative technologies in transforming construction H&S management during the COVID-19 pandemic. The possible challenges that obstruct the implementation of H&S measures are highlighted. The potential technologies which can significantly transform H&S management by reducing the impact of challenges are presented. Practical implications: The findings benefited the industry practitioners who are suffering disruption in construction operations due to the pneumonic plague. Originality/value: By developing a conceptual model, this study reveals the contribution of technology-based H&S management for construction projects during the COVID-19 pandemic, which remains under-studied, especially in the context of the developing world. © 2022, Emerald Publishing Limited.
Lad, V H, Patel, D A, Chauhan, K A and Patel, K A (2024) Prioritisation of bridge for improving its resilience using multi-criteria decision-making techniques. Engineering, Construction and Architectural Management, 31(07), 2952-76.
Li, T, Li, Z and Cai, J (2024) Antecedents and consequence of intra-organizational diffusion of prefabricated construction technology: a contingency theory perspective. Engineering, Construction and Architectural Management, 31(07), 2932-51.
Li, X, Chang, C T, Zhu, Y Y and Li, L L (2024) Key influence factors on the evacuation route selection for fire emergencies in urban underground complexes. Engineering, Construction and Architectural Management, 31(07), 2630-47.
Lin, Q, Zhang, C, Cai, H, Li, X and Xiao, H (2024) Urban night lighting evaluation system and case study: blending popular contemporary elements, cultural traditions and advanced lighting technologies. Engineering, Construction and Architectural Management, 31(07), 2916-31.
Lu, Y, Liu, J and Yu, W (2024) Social risk analysis for mega construction projects based on structural equation model and Bayesian network: a risk evolution perspective. Engineering, Construction and Architectural Management, 31(07), 2604-29.
Masood, R, Roy, K, González, V A, Lim, J B P and Nasir, A R (2024) A supply chain perspective of prefabricated housebuilding diffusion in New Zealand. Engineering, Construction and Architectural Management, 31(07), 2697-720.
Tennakoon, G A, Rameezdeen, R and Chileshe, N (2024) Walking the talk towards sustainable consumption: interventions to promote the uptake of reprocessed construction materials. Engineering, Construction and Architectural Management, 31(07), 2878-99.
Wang, Z, Shi, L and Cui, H (2024) Effects of the host-country institutional environment on the operation mode change of international construction enterprises. Engineering, Construction and Architectural Management, 31(07), 2721-39.
Xie, L L, Chen, Y, Wu, S, Chang, R D and Han, Y (2024) Knowledge extraction for solving resource-constrained project scheduling problem through decision tree. Engineering, Construction and Architectural Management, 31(07), 2852-77.
Zhou, X, Wang, Y, Zhang, Y and Liu, F (2024) Macro investigation on China's engineering insurance industry: based on industrial organization theories. Engineering, Construction and Architectural Management, 31(07), 2977-94.