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Development and validation of a multilevel safety climate measurement tool in the construction industry
Authors:Rita Peihua Zhang  Helen Lingard  Steve Nevin
Affiliation:1. School of Property, Construction and Project Management, RMIT University, GPO Box 2476, Melbourne VIC 3001, Australiarita.zhang@rmit.edu.au;3. School of Property, Construction and Project Management, RMIT University, GPO Box 2476, Melbourne VIC 3001, Australia;4. Fonterra Co-operative Group Limited, PO Box 33, Temuka 7948, Clandeboye, New Zealand
Abstract:Construction organizations are large and complex with decentralized structures, and characterized by non-routine work undertaken by semi-autonomous work groups. Construction workers’ perceptions of safety climate can form at different levels and vary between subunits. A multilevel safety climate measurement tool was proposed, which identified five important safety agents, i.e. client, principal contractor, supervisor, co-workers, and individual workers. Surveys were conducted at three construction projects commissioned by Fonterra Co-operative Group. A total of 356 participants completed the survey. The data was subject to scale reliability analysis and factor analysis. The results showed that all scales achieved satisfactory internal consistency and the multilevel factorial structure was generally supported. At the organizational level, the tool measures clients’ overall safety priority and safety actions, and principal contractors’ general commitment to safety. At the group level, the tool measures supervisors’ safety actions and safety expectations, and co-workers’ general safety values and practices. The tool also measures individual safety responses reflected by safety compliance and safety participation. The measurement tool would help construction organizations to diagnose potential weaknesses in their safety management practices for safety improvement and also help to develop a social and cultural work environment that is supportive of safety at all levels.
Keywords:Construction worker  management  measurement  safety
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