Regulatory Analytics Approaches for Improving Occupational Health Safety Outcomes Across Public and Private Workplaces

• Author(s): Sandra C. Anioke; Michael Efetobore Atima
• Paper ID: 1713126
• Page: 199-218
• Published Date: 30-11-2019
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 2 Issue 6 December-2018

Abstract

Occupational health and safety remain a critical concern across public and private workplaces, particularly in contexts characterized by regulatory complexity, fragmented enforcement, and evolving risk profiles. Regulatory analytics, which integrates data analytics, compliance intelligence, and decision-support tools, offers a promising pathway for strengthening occupational health and safety outcomes. This study examines regulatory analytics approaches for improving occupational health and safety performance across diverse workplace settings, with emphasis on both public sector institutions and private enterprises. The paper adopts a conceptual and integrative review design, synthesizing evidence from regulatory science, occupational safety management systems, data analytics, and risk governance literature. It explores how data-driven regulatory tools such as compliance dashboards, predictive risk modelling, real-time incident reporting systems, and automated inspection analytics can enhance hazard identification, enforcement efficiency, and preventive decision-making. The analysis highlights how regulatory analytics enables proactive rather than reactive safety management by identifying patterns of non-compliance, forecasting high-risk activities, and optimizing inspection prioritization. Furthermore, the study discusses the role of inter-agency data sharing, standardized reporting frameworks, and digital regulatory platforms in improving transparency, accountability, and consistency in occupational health and safety oversight. Comparative insights are provided on how regulatory analytics adoption differs between public and private workplaces, considering factors such as organizational capacity, regulatory burden, resource availability, and institutional culture. The findings suggest that organizations leveraging regulatory analytics demonstrate improved compliance rates, reduced incident frequency, and more effective allocation of safety resources. However, challenges including data quality limitations, skills gaps, ethical concerns, and resistance to digital transformation remain significant barriers. The paper concludes by proposing a regulatory analytics framework that aligns policy objectives, technological infrastructure, and organizational readiness to support sustainable occupational health and safety improvements. By advancing evidence-informed regulation and analytics-enabled oversight, the study contributes to strengthening regulatory effectiveness and promoting safer, healthier workplaces across sectors. Implications for policymakers, regulators, and organizational leaders include investing in analytical capacity, embedding safety data governance principles, and fostering collaborative regulatory ecosystems that support continuous learning, adaptive enforcement strategies, and long-term resilience in occupational health and safety systems globally, across varied economic sectors and institutional contexts, in both developed and developing economies.

Keywords

Regulatory Analytics; Occupational Health and Safety; Compliance Intelligence; Public and Private Workplaces; Risk Governance; Safety Management Systems

Citations

IRE Journals:
Sandra C. Anioke, Michael Efetobore Atima "Regulatory Analytics Approaches for Improving Occupational Health Safety Outcomes Across Public and Private Workplaces" Iconic Research And Engineering Journals Volume 2 Issue 6 2018 Page 199-218

IEEE:
Sandra C. Anioke, Michael Efetobore Atima "Regulatory Analytics Approaches for Improving Occupational Health Safety Outcomes Across Public and Private Workplaces" Iconic Research And Engineering Journals, 2(6)