Education and training play an increasingly meaningful role in recent research on Occupational Safety and Health (OSH) through the whole companies’ supply chains. However, considering the extent of the subject, most research works focus on specific issues, which are not easily replicable in other contexts. Therefore, this work gathers the main results achieved by researchers and systematically identifies leading research paths and trends for future works. A review and systematic categorisation of the existent literature have deemed essential for achieving the scope. The Latent Dirichlet Allocation (LDA) technique has been chosen to extract meaningful information on education and/or training and cluster articles, which have been grouped into eight topics. This analysis has brought out several key factors (industry hazards, workers’ motivation, availability of technologies, etc.) that influence the success or failure of implementing OSH education and training programs. This work pays particular attention to human factors which, if effectively managed, would induce a great step forward for OSH education and training. There is still little or no evidence of education and training’s effectiveness through time since monitoring the outcomes has been often neglected by the management. Nonetheless, Industry 4.0 technologies will help to fill this gap by enabling real-time and continuous tracking of outcomes, which will pave the way for several future works.
Occupational Safety and Health Education and Training: A Latent Dirichlet Allocation Systematic Literature Review
Micheli G. J. L.;Vitrano G.;Calabrese A.
2021-01-01
Abstract
Education and training play an increasingly meaningful role in recent research on Occupational Safety and Health (OSH) through the whole companies’ supply chains. However, considering the extent of the subject, most research works focus on specific issues, which are not easily replicable in other contexts. Therefore, this work gathers the main results achieved by researchers and systematically identifies leading research paths and trends for future works. A review and systematic categorisation of the existent literature have deemed essential for achieving the scope. The Latent Dirichlet Allocation (LDA) technique has been chosen to extract meaningful information on education and/or training and cluster articles, which have been grouped into eight topics. This analysis has brought out several key factors (industry hazards, workers’ motivation, availability of technologies, etc.) that influence the success or failure of implementing OSH education and training programs. This work pays particular attention to human factors which, if effectively managed, would induce a great step forward for OSH education and training. There is still little or no evidence of education and training’s effectiveness through time since monitoring the outcomes has been often neglected by the management. Nonetheless, Industry 4.0 technologies will help to fill this gap by enabling real-time and continuous tracking of outcomes, which will pave the way for several future works.File | Dimensione | Formato | |
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2021 - IEA - OSH Education and Training - Post Print.pdf
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