ARCOM

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A Kassem, M, Khoiry, M A and Hamzah, N (2020) Assessment of the effect of external risk factors on the success of an oil and gas construction project. Engineering, Construction and Architectural Management, 27(09), 2767–93.

Adabre, M A and Chan, A P (2020) Towards a sustainability assessment model for affordable housing projects: the perspective of professionals in Ghana. Engineering, Construction and Architectural Management, 27(09), 2523–51.

Ahmadu, H A, Ibrahim, A D, Ibrahim, Y M and Adogbo, K J (2020) Incorporating aleatory and epistemic uncertainties in the modelling of construction duration. Engineering, Construction and Architectural Management, 27(09), 2199–219.

Akanmu, A, Olayiwola, J and Olatunji, O A (2020) Musculoskeletal disorders within the carpentry trade: analysis of timber flooring subtasks. Engineering, Construction and Architectural Management, 27(09), 2577–90.

Almatroushi, H, Hariga, M, As'ad, R and Al-Bar, A (2020) The multi resource leveling and materials procurement problem: an integrated approach. Engineering, Construction and Architectural Management, 27(09), 2135–61.

Amos, D, Au-Yong, C P and Musa, Z N (2020) Developing key performance indicators for hospital facilities management services: a developing country perspective. Engineering, Construction and Architectural Management, 27(09), 2715–35.

Chiu, W Y B and Lai, J H (2020) Building information modelling for building services engineering: benefits, barriers and conducive measures. Engineering, Construction and Architectural Management, 27(09), 2221–52.

Edwards, D J, Rillie, I, Chileshe, N, Lai, J, Hosseini, M R and Thwala, W D (2020) A field survey of hand–arm vibration exposure in the UK utilities sector. Engineering, Construction and Architectural Management, 27(09), 2179–98.

• Type: Journal Article
• Keywords: Health and well-being; Hand-arm vibration; Probability models; Utilities industry; Industry 4.0;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-09-2019-0518
• Abstract:
  Excessive exposure to HAV can lead to hand–arm vibration syndrome (HAVS) which is a major health and well-being issue that can irreparably damage the neurological, vascular and muscular skeletal system. This paper reports upon field research analysis of the hand–arm vibration (HAV) exposure levels of utility workers in the UK construction sector when operating hand-held vibrating power tools. An empirical epistemological lens was adopted to analyse primary quantitative data on the management of hand-held tool trigger times (seconds) collected from field studies. To augment the analysis further, an interpretivist perspective was undertaken to qualitatively analyse interviews held with the participating company's senior management team after field study results. This approach sought to provide further depth and perspective on the emergent numerical findings. The findings reveal that none of the operatives were exposed above the exposure limit value (ELV) and that 91.07% resided under the exposure action value (EAV). However, the Burr four parameter probability model (which satisfied the Anderson–Darling, Kolmogorov–Smirnov and chi-squared goodness of fit tests at α 0.01, 0.02, 0.05, 0.1 and 0.2 levels of significance) illustrated that given the current data distribution pattern, there was a 3% likelihood that the ELV will be exceeded. Model parameters could be used to: forecast the future probability of HAV exposure levels on other utility contracts and provide benchmark indicators to alert senior management to pending breaches of the ELV. HAV field trials are rarely conducted within the UK utilities sector, and the research presented is the first to develop probability models to predict the likelihood of operatives exceeding the ELV based upon field data. Findings presented could go some way to preserving the health and well-being of workers by ensuing that adequate control measures implemented (e.g. procuring low vibrating tools) mitigate the risk posed.

Farajmandi, M, Ali, M, Hermann, R and AbouRizk, S (2020) A decision support tool for planning module installation in industrial construction. Engineering, Construction and Architectural Management, 27(09), 2615–41.

Hsu, P, Aurisicchio, M, Angeloudis, P and Whyte, J (2020) Understanding and visualizing schedule deviations in construction projects using fault tree analysis. Engineering, Construction and Architectural Management, 27(09), 2501–22.

Karamoozian, A and Wu, D (2020) A hybrid risk prioritization approach in construction projects using failure mode and effective analysis. Engineering, Construction and Architectural Management, 27(09), 2661–86.

Liu, H, Song, J and Wang, G (2020) Development of a tool for measuring building information modeling (BIM) user satisfaction – method selection, scale development and case study. Engineering, Construction and Architectural Management, 27(09), 2409–27.

Liu, J, Cui, Z, Feng, Y, Perera, S and Han, J (2020) Impact of culture differences on performance of international construction joint ventures: the moderating role of conflict management. Engineering, Construction and Architectural Management, 27(09), 2353–77.

Luo, L, Zhang, L and He, Q (2020) Linking project complexity to project success: a hybrid SEM–FCM method. Engineering, Construction and Architectural Management, 27(09), 2591–614.

Ma, L and Fu, H (2020) Exploring the influence of project complexity on the mega construction project success: a qualitative comparative analysis (QCA) method. Engineering, Construction and Architectural Management, 27(09), 2429–49.

Maqsoom, A, Hamad, M, Ashraf, H, Thaheem, M J and Umer, M (2020) Managerial control mechanisms and their influence on project performance: an investigation of the moderating role of complexity risk. Engineering, Construction and Architectural Management, 27(09), 2451–75.

Moon, S, Ham, N, Kim, S, Hou, L, Kim, J and Kim, J (2020) Fourth industrialization-oriented offsite construction: case study of an application to an irregular commercial building. Engineering, Construction and Architectural Management, 27(09), 2271–86.

Nasirzadeh, F, Kabir, H D, Akbari, M, Khosravi, A, Nahavandi, S and Carmichael, D G (2020) ANN-based prediction intervals to forecast labour productivity. Engineering, Construction and Architectural Management, 27(09), 2335–51.

Sezegen, A and Edis, E (2020) Product innovation types: a discussion considering building facade products. Engineering, Construction and Architectural Management, 27(09), 2379–408.

Sinoh, S S, Othman, F and Ibrahim, Z (2020) Critical success factors for BIM implementation: a Malaysian case study. Engineering, Construction and Architectural Management, 27(09), 2737–65.

Tran, D H (2020) Optimizing time–cost in generalized construction projects using multiple-objective social group optimization and multi-criteria decision-making methods. Engineering, Construction and Architectural Management, 27(09), 2287–313.

Tran, D Q, Harper, C M, Smadi, A M and Mohamed, M (2020) Staffing needs and utilization for alternative contracting methods in highway design and construction. Engineering, Construction and Architectural Management, 27(09), 2163–78.

Viswanathan, S K and Jha, K N (2020) Risk mitigation modelling of international construction projects executed by Indian firms: a structural equation modelling approach. Engineering, Construction and Architectural Management, 27(09), 2687–713.

Wang, P, Wu, P, Wang, X, Chen, X and Zhou, T (2020) Developing optimal scaffolding erection through the integration of lean and work posture analysis. Engineering, Construction and Architectural Management, 27(09), 2109–33.

Wu, J, Liu, H J, Sing, M C, Humphrey, R and Zhao, J (2020) Public–private partnerships: implications from policy changes for practice in managing risks. Engineering, Construction and Architectural Management, 27(09), 2253–69.

Wuni, I Y and Shen, G Q (2020) Critical success factors for management of the early stages of prefabricated prefinished volumetric construction project life cycle. Engineering, Construction and Architectural Management, 27(09), 2315–33.

Zhang, H and Yu, L (2020) Dynamic transportation planning for prefabricated component supply chain. Engineering, Construction and Architectural Management, 27(09), 2553–76.

Zhang, H, Yu, L and Zhang, W (2020) Dynamic performance incentive model with supervision mechanism for PPP projects. Engineering, Construction and Architectural Management, 27(09), 2643–59.

Zhang, S B, Chen, J and Fu, Y (2020) Contract complexity and trust in construction project subcontracting. Engineering, Construction and Architectural Management, 27(09), 2477–500.