This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry.Latent variable modeling,which is a statistical model that relates observable and laten...This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry.Latent variable modeling,which is a statistical model that relates observable and latent variables,could be used to facilitate researchers’understandings of the underlying constructs or hypothetical factors and their magnitude of effect that constitute a complex system.This enhanced understanding,in turn,can help emphasize the important factors to improve mine safety.The most commonly used techniques include the exploratory factor analysis(EFA),the confirmatory factor analysis(CFA)and the structural equation model with latent variables(SEM).A critical comparison of the three techniques regarding mine safety is provided.Possible applications of latent variable modeling in mining engineering are explored.In this scope,relevant research papers were reviewed.They suggest that the application of such methods could prove useful in mine accident and safety research.Application of latent variables analysis in cognitive work analysis was proposed to improve the understanding of human-work relationships in mining operations.展开更多
Stakeholders’concern towards the ecological damage arising out of emissions from the industrial processes has raised serious issues before the industrial sectors.Environmentalists and researchers are raising these is...Stakeholders’concern towards the ecological damage arising out of emissions from the industrial processes has raised serious issues before the industrial sectors.Environmentalists and researchers are raising these issues in various forums.Few industrial sectors are well informed about environmental protection and act accordingly to address these issues by complying with environmental norms.However,some firms are more ethical in their business and proactively redefine their operations and policies beyond the regulatory requirements.What factors compel these firms to go beyond the extant laws to protect the environment?This study statistically analyses India’s cement sector for the factors that may be the drivers of environmental proactivity.Using Structural Equation Modelling(SEM),eight hypotheses were tested.The study’s findings can be helpful for the policymakers,environmental managers,and industrial sectors to frame policies for environmental protection,which will redound to societal benefit.展开更多
基金Natural Sciences and Engineering Research Council of Canada(NSERC)(ID:236482)for supporting this research
文摘This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry.Latent variable modeling,which is a statistical model that relates observable and latent variables,could be used to facilitate researchers’understandings of the underlying constructs or hypothetical factors and their magnitude of effect that constitute a complex system.This enhanced understanding,in turn,can help emphasize the important factors to improve mine safety.The most commonly used techniques include the exploratory factor analysis(EFA),the confirmatory factor analysis(CFA)and the structural equation model with latent variables(SEM).A critical comparison of the three techniques regarding mine safety is provided.Possible applications of latent variable modeling in mining engineering are explored.In this scope,relevant research papers were reviewed.They suggest that the application of such methods could prove useful in mine accident and safety research.Application of latent variables analysis in cognitive work analysis was proposed to improve the understanding of human-work relationships in mining operations.
文摘Stakeholders’concern towards the ecological damage arising out of emissions from the industrial processes has raised serious issues before the industrial sectors.Environmentalists and researchers are raising these issues in various forums.Few industrial sectors are well informed about environmental protection and act accordingly to address these issues by complying with environmental norms.However,some firms are more ethical in their business and proactively redefine their operations and policies beyond the regulatory requirements.What factors compel these firms to go beyond the extant laws to protect the environment?This study statistically analyses India’s cement sector for the factors that may be the drivers of environmental proactivity.Using Structural Equation Modelling(SEM),eight hypotheses were tested.The study’s findings can be helpful for the policymakers,environmental managers,and industrial sectors to frame policies for environmental protection,which will redound to societal benefit.
