Safety Culture and Leadership Commitment as Determinants of Occupational Safety Performance in the Manufacturing Industry
Keywords:
Leadership Commitment, Safety Culture, Safety Performance, Manufacturing Industry, Leading and Lagging IndicatorsAbstract
The conflict between the speed of production and the safety of the occupation is a paradox that usually poses a threat of disastrous failures in the high-stakes world of the manufacturing industry. This paper discusses this pathway as a causal relationship in terms of Leadership commitment, Safety Culture, and Safety performance as a strategic solution to this conflict. The study employs the Social Exchange Theory (SET) and the DuPont Bradley Curve to provide a theoretical framework in which leadership serves as the "motivational engine" which propels an organization to a high level of interdependent and collective responsibility as opposed to mere compliance. The study identifies three critical dimensions of leadership—visibility, resource allocation, and accountability—as key drivers in shaping organizational safety culture. This study aims to examine the extent to which leadership commitment influences safety culture and, in turn, improves occupational safety performance in the manufacturing industry. In conclusion, the study argues that operational excellence is achieved when leadership prioritizes safety over short-term productivity, thereby transforming safety from a perceived organizational cost into a core value and a source of sustainable competitive advantage.
Downloads
Published
Issue
Section
Similar Articles
- Imam Akintomiwa Akinlade, Musili Adeyemi Adebayo, Ahmed Olasunkanmi Tijani, Chiamaka Perpetua Ezenwaka, Obafemi Ibrahim Sikiru, Emmanuel Ayomide Oseni, The Role of Machine Learning Models in Optimizing High-Volume Customer Engagement and CRM Transformation , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Adebayo Adegbenro, Arinze Madueke, Aniedi Ojo, Cynthia Alabi, AI-Driven Wealth Advisory: Machine Learning Models for Personalized Investment Portfolios and Risk Optimization , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Bertha Onyenachi Akagbue, Mark Ndako Ibrahim, Oseigbovo Favour Ofure, Oluwaiye Unity Ekugbe, Onah Kyrian, Chibuzor Titus Amaobichukwu, Mu’awiya Baba Aminu, Pam Dajack Dung, Suleiman Isa Babale, Sadiq Mohammed Salisu, Comprehensive Assessment and Remediation Strategies for Air Pollution: Current Trends and Future Prospects; A Case Study in Bompai Industrial Area, Kano State, Nigeria. , Communication In Physical Sciences: Vol. 10 No. 1 (2023): VOLUME 10 ISSUE 1
- Chisom Ugonna Obi, Theodore Chidiezie Chineke, Assessment of Particulate Matter Concentration and its health implications at four selected locations in Egbu, Imo State , Communication In Physical Sciences: Vol. 12 No. 8 (2025): VOLUME 12 ISSUE 8
- Forward Nsama, Strategic Development of AI-Driven Supply Chain Resilience Frameworks for Critical U.S. Sectors , Communication In Physical Sciences: Vol. 12 No. 5 (2025): VOLUME 12 ISSUE 5
- Raymond Sugar Ebere Amougou, AI-Driven DevOps: Leveraging Machine Learning for Automated Software Delivery Pipelines , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- 1. Anthony I. G. Ekedegwa, Evans Ashiegwuike, Abdullahi Mohammed S. B, Seasonal Short-Term Load Forecasting (STLF) using combined Social Spider Optimisation (SSO) and African Vulture Optimisation Algorithm (AVOA) in Artificial Neural Networks (ANN) , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Joseph Jacob, Paul Andrew P. Mamza, Mechanism of Water Absorption Behaviour in Groundnut Shell Powder Filled Waste HDPE Composites , Communication In Physical Sciences: Vol. 6 No. 1 (2020): VOLUME 6 ISSUE 1
- Edith Agberxonu, Abdulateef Disu, Chidin Dike, Toyosi Mustapha, Lawrence Abakah, Machine Learning and Artificial Intelligence in FinTech: Driving Innovation in Digital Payments, Fraud Detection, and Financial Inclusion , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Musaddiq Sirajo, Abubakar Umar, Mardhiyya Falalu, Maimuna Ahmad Aliyu, Regularization Techniques: A Comparative Analysis of Ridge, Lasso, and Elastic Net Approaches in Predicting Mental Health Consequences Using Mental Health Survey Dataset , Communication In Physical Sciences: Vol. 12 No. 5 (2025): VOLUME 12 ISSUE 5
You may also start an advanced similarity search for this article.



