Purpose: This study aims to quantify the multifaceted relationship between lean implementation and occupational health and safety (OHS) performance. Hypotheses based on a set of antecedents (mediating factors) are built and quantitatively tested. Design/methodology/approach: Data were collected through an international survey with responses from more than 20 countries. Partial least square-based structural equation modeling was used to test a theoretical framework derived from literature. Leading indicators (formative indices) were used to evaluate the four antecedents of OHS performance (mediating factors). Findings: All the identified antecedents show a significant mediating role. Antecedents related to the working environment and organizational factors have the strongest mediating effect. Results support the importance of using OHS leading indicators to appropriately measure the impact of lean implementation on workers’ health and safety. Research limitations/implications: The proposed OHS leading indicators connecting lean practices to OHS performance antecedents are only explored in this study. Therefore, to establish a comprehensive, validated and practically usable set of leading indicators, further research is needed. Practical implications: As there are some synergistic and trade-off relationships between lean and safety, the findings of this study will enable managers and organizations to leverage the positive effects of lean implementation on workers’ health and safety and mitigate the negative effects. Originality/value: Several prior studies investigated the multifaceted link between lean and OHS; however, this is the first study that tested direct and mediated influence by defining a coherent set of antecedents. The results justify and strongly support the adoption of OHS leading indicators to measure the impact of lean implementation on OHS performance.

Quantifying the relationship between lean maturity and occupational health and safety: Antecedents and leading indicators

Mousavi S. S.;Trucco P.
2020

Abstract

Purpose: This study aims to quantify the multifaceted relationship between lean implementation and occupational health and safety (OHS) performance. Hypotheses based on a set of antecedents (mediating factors) are built and quantitatively tested. Design/methodology/approach: Data were collected through an international survey with responses from more than 20 countries. Partial least square-based structural equation modeling was used to test a theoretical framework derived from literature. Leading indicators (formative indices) were used to evaluate the four antecedents of OHS performance (mediating factors). Findings: All the identified antecedents show a significant mediating role. Antecedents related to the working environment and organizational factors have the strongest mediating effect. Results support the importance of using OHS leading indicators to appropriately measure the impact of lean implementation on workers’ health and safety. Research limitations/implications: The proposed OHS leading indicators connecting lean practices to OHS performance antecedents are only explored in this study. Therefore, to establish a comprehensive, validated and practically usable set of leading indicators, further research is needed. Practical implications: As there are some synergistic and trade-off relationships between lean and safety, the findings of this study will enable managers and organizations to leverage the positive effects of lean implementation on workers’ health and safety and mitigate the negative effects. Originality/value: Several prior studies investigated the multifaceted link between lean and OHS; however, this is the first study that tested direct and mediated influence by defining a coherent set of antecedents. The results justify and strongly support the adoption of OHS leading indicators to measure the impact of lean implementation on OHS performance.
INTERNATIONAL JOURNAL OF LEAN SIX SIGMA (PRINT)
Antecedents
Health and safety
Leading indicators
Lean implementation
Performance
Structural equation modelling (SEM)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1173442
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