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    Diffusion of Safety Innovations in the Construction Industry

    Source: Journal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 008
    Author:
    Behzad Esmaeili
    ,
    Matthew R. Hallowell
    DOI: 10.1061/(ASCE)CO.1943-7862.0000499
    Publisher: American Society of Civil Engineers
    Abstract: Safety performance in the construction industry has improved significantly in the past four decades. This improvement has been attributed in part to the increased implementation of injury prevention strategies. Although the relative effectiveness of these strategies has been studied in previous research, there has been no attempt to evaluate their diffusion. To address this gap in knowledge, 12 highly effective administrative safety innovations were identified in literature, and 58 firms were interviewed to investigate their adoption rate. The diffusion patterns of the identified safety innovations were explored using four common innovation diffusion models: the internal, external, Bass, and Gompetz. The findings indicate that the internal and Bass models have the highest explanatory power and that internal factors are the most influential factors in adoption of safety innovations by construction firms. It was also found that project-specific training and safety meetings (91%), frequent worksite inspections (91%), and safety and health orientation and training (90%) are the three most commonly adopted safety innovations, and employment of a site safety manager (62%), subcontractor selection and management (64%), and substance abuse programs (69%) were the three innovations most infrequently implemented. The implication of the findings is that the construction industry has now reached saturation with respect to traditional injury prevention strategies and new safety innovations are needed.
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      Diffusion of Safety Innovations in the Construction Industry

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    http://yetl.yabesh.ir/yetl1/handle/yetl/58661
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    contributor authorBehzad Esmaeili
    contributor authorMatthew R. Hallowell
    date accessioned2017-05-08T21:39:41Z
    date available2017-05-08T21:39:41Z
    date copyrightAugust 2012
    date issued2012
    identifier other%28asce%29co%2E1943-7862%2E0000505.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58661
    description abstractSafety performance in the construction industry has improved significantly in the past four decades. This improvement has been attributed in part to the increased implementation of injury prevention strategies. Although the relative effectiveness of these strategies has been studied in previous research, there has been no attempt to evaluate their diffusion. To address this gap in knowledge, 12 highly effective administrative safety innovations were identified in literature, and 58 firms were interviewed to investigate their adoption rate. The diffusion patterns of the identified safety innovations were explored using four common innovation diffusion models: the internal, external, Bass, and Gompetz. The findings indicate that the internal and Bass models have the highest explanatory power and that internal factors are the most influential factors in adoption of safety innovations by construction firms. It was also found that project-specific training and safety meetings (91%), frequent worksite inspections (91%), and safety and health orientation and training (90%) are the three most commonly adopted safety innovations, and employment of a site safety manager (62%), subcontractor selection and management (64%), and substance abuse programs (69%) were the three innovations most infrequently implemented. The implication of the findings is that the construction industry has now reached saturation with respect to traditional injury prevention strategies and new safety innovations are needed.
    publisherAmerican Society of Civil Engineers
    titleDiffusion of Safety Innovations in the Construction Industry
    typeJournal Paper
    journal volume138
    journal issue8
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000499
    treeJournal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 008
    contenttypeFulltext
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