Occupational Safety Overview

Principles

Definition

Occupational safety is the academic field and applied discipline concerned with the identification, evaluation, and control of workplace hazards and risks to protect the health, safety, and well-being of workers. It systematically investigates the interactions between individuals, work environments, and processes to prevent injuries, illnesses, and fatalities, drawing upon principles from engineering, public health, ergonomics, psychology, and law. Its significance lies in its critical role in safeguarding human capital, ensuring regulatory compliance, and promoting sustainable and productive work systems.

Ontological type

Control Strategies

Core Hazards

Risk Assessment Methods

Key developments

Key Figures

Regulatory Incentives era

Lawrence J. Fine [1], affiliated with Harvard University [3] and Yale University [4] during this era, helped shape occupational safety policy through regulatory analysis and ergonomics. In this era, his key contribution is the Revised NIOSH equation for the design and evaluation of manual lifting tasks [7], which improved hazard assessment and informed ergonomic safeguards that supported regulatory incentive design. Arun Garg [2], affiliated with University of Wisconsin–Madison [5] and University of Wisconsin–Milwaukee [6] during this era, contributed to shaping the era's safety governance through the Revised NIOSH equation [7]. This work is exemplified by the Revised NIOSH equation [7], providing a rigorous basis for evaluating lifting hazards and reinforcing the era's emphasis on economic incentives, inspections, and surveillance-driven enforcement.

Safety Climate and Organization era

David H. Wegman [1] is a leading safety scholar in this era, with affiliations at Harvard University [3] and Lund University [4]. His 2002 paper Occupational Injury and Illness Surveillance: Conceptual Filters Explain Underreporting [7] advanced understanding of underreporting in injury surveillance and highlighted conceptual filters as essential for interpreting data and guiding interventions in this era. Ted R. Miller [2] is a prominent safety climate scholar associated with Johns Hopkins University [5] and University of Maryland, Baltimore [6] during this period. His work includes Costs of occupational injuries in construction in the United States [8] (2007) and An Estimate of the U.S. Government’s Undercount of Nonfatal Occupational Injuries [9] (2004), which quantified economic burdens and undercount biases to inform surveillance, measurement strategies, and intervention priorities in this era.

Fuzzy-Analytic Data Systems era

Cengiz Kahraman [1] is associated with Istanbul Technical University [3] and Istanbul Bilgi University [4] during the era of fuzzy-analytic data systems for occupational safety. His key contribution in this era is the development of a novel risk assessment approach for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system [6], which demonstrates how soft computing and hybrid analytic techniques can quantify and prioritize hazards in Industry 4.0 contexts, enabling more transparent and adaptable risk governance. Adel Badri [2] is associated with Université du Québec à Trois-Rivières [5] in this era. His notable contribution is the paper Occupational health and safety in the industry 4.0 era: A cause for major concern? [7], which highlights safety challenges in Industry 4.0 and calls for governance and data-driven risk management in modern workplaces.