Abstract

Keywords

۱٫ Introduction and motivation

۲٫ What is SI?

۳٫ Theoretical framework for SI

۴٫ Practical framework for SI

۵٫ Conclusions and limitations

Declaration of Competing Interest

Acknowledgements

References

Abstract

In the age of big data, intelligence, and Industry 4.0, intelligence plays an increasingly significant role in management or, more specifically, decision making; thus, it becomes a popular topic and is recognised as an important discipline. Hence, safety intelligence (SI) as a new safety concept and term was proposed. SI aims to transform raw safety data and information into meaningful and actionable information for safety management; it is considered an essential perspective for safety management in the era of Safety 4.0 (computational safety science—a new paradigm for safety science in the age of big data, intelligence, and Industry 4.0). However, thus far, no existing research provides a framework that comprehensively describes SI and guides the implementation of SI practices in organisations. To address this research gap and to provide a framework for SI and its practice in the context of safety management, based on a systematic and comprehensive explanation on SI from different perspectives, this study attempts to propose a theoretical framework for SI from a safety management perspective and then presents an SI practice model aimed at supporting safety management in organisations.

۱٫ Introduction and motivation

Safety management is regarded as the process of realising certain safety functions (Li and Guldenmund, 2018), and it has become an important topic both in academia and in practice over the past decades (Denton, Journal Pre-proof 2 1980; Hale, 2003; Wang et al, 2017). From an organisational perspective, safety management aims to promote organisational safety and protect people and property within the organisation from unacceptable safety risks (Li and Guldenmund, 2018). Recently, with the increasing global economic uncertainties and owing to global economy in the doldrums, safety management in most organisations is under growing pressure to perform more with less. In addition, there is a constant need to find better approaches to guarantee that safety resources are allocated as effectively as possible while maintaining good organisational safety performance (Wang et al, 2017). Thus, safety information is critical to achieving these targets; it is considered as the lifeblood of organisational safety management because safety information is necessary for effective safety risk prevention and informed safety decision making (Yang, 2012; Huang et al, 2019; Wang et al, 2019).