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Alsamadani, R, Hallowell, M and Javernick-Will, A N (2013) Measuring and modelling safety communication in small work crews in the US using social network analysis. Construction Management and Economics, 31(06), 568-79.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446193.2012.685486
- Abstract:
Effective safety communication between all parties in a construction project is essential for optimal safety performance. Literature suggests that open safety communication across all levels of the organization enhances safety success. Previous studies have found that open communication and frequent interaction between employees and supervisors differentiate construction companies that have low accident rates from companies that have high rates. Through interviews with construction crew members on active construction projects in the Rocky Mountain region of the US, the patterns of safety communication were identified, modelled, and quantified. Social network analysis (SNA) was utilized to obtain measures of safety communication such as centrality, density, and betweenness within small crews and to generate sociograms that visually depicted communication patterns within effective and ineffective safety networks. A cross-case comparison revealed that the frequency and method of communication are important differentiators between project teams with low and high accident rates. Specifically, top performing crews: (1) have formal safety communication from management on at least a weekly basis; (2) have informal safety communication on a weekly basis; (3) undergo formal safety training; and (4) use all proposed safety communication methods on a monthly basis. In addition, typical SNA metrics, including density, centrality and betweenness, are not significant parameters to distinguish high from low performing crews.
Ayers, G F, Culvenor, J F, Sillitoe, J and Else, D (2013) Meaningful and effective consultation and the construction industry of Victoria, Australia. Construction Management and Economics, 31(06), 542-67.
Behm, M and Schneller, A (2013) Application of the Loughborough Construction Accident Causation model: a framework for organizational learning. Construction Management and Economics, 31(06), 580-95.
Esmaeili, B and Hallowell, M (2013) Integration of safety risk data with highway construction schedules. Construction Management and Economics, 31(06), 528-41.
Forman, M (2013) Inertia and change: lean construction and health and safety work on construction sites. Construction Management and Economics, 31(06), 647-60.
Koch, C (2013) From crew to country? Local and national construction safety cultures in Denmark. Construction Management and Economics, 31(06), 691-703.
Larsen, G D and Whyte, J (2013) Safe construction through design: perspectives from the site team. Construction Management and Economics, 31(06), 675-90.
Li, H, Chan, G and Skitmore, M (2013) Integrating real time positioning systems to improve blind lifting and loading crane operations. Construction Management and Economics, 31(06), 596-605.
Marks, E D and Teizer, J (2013) Method for testing proximity detection and alert technology for safe construction equipment operation. Construction Management and Economics, 31(06), 636-46.
Melzner, J, Zhang, S, Teizer, J and Bargstädt, H-J (2013) A case study on automated safety compliance checking to assist fall protection design and planning in building information models. Construction Management and Economics, 31(06), 661-74.
Sherratt, F, Farrell, P and Noble, R (2013) UK construction site safety: discourses of enforcement and engagement. Construction Management and Economics, 31(06), 623-35.
Tutt, D, Pink, S, Dainty, A R J and Gibb, A (2013) ‘In the air’ and below the horizon: migrant workers in UK construction and the practice-based nature of learning and communicating OHS. Construction Management and Economics, 31(06), 515-27.
Zhou, Z, Irizarry, J and Li, Q (2013) Applying advanced technology to improve safety management in the construction industry: a literature review. Construction Management and Economics, 31(06), 606-22.