Leading and lagging indicators of occupational health and safety: The moderating role of safety leadership

Sheehan, Cathy; Donohue, Ross; Shea, Tracey; Cooper, Brian; Cieri, Helen De

doi:10.1016/j.aap.2016.03.018

Cited by 63 publications

(32 citation statements)

References 55 publications

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“…Using multi-leveled modeling, the authors of [20] examine empirical evidence of an association between leading indicators and safety performance. The results of their study support the impact of leading indicators as a means to eliminate or control the precursors of harmful incidents.…”

Section: Leading Indicator Datamentioning

confidence: 99%

Leading Indicators—A Conceptual IoT-Based Framework to Produce Active Leading Indicators for Construction Safety

Costin

Wehle

Adibfar

2019

Safety

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Active leading indicators (ALIs) have the potential to identify safety hazards and prompt immediate actions to prevent incidents. Currently, there is a major gap in research that incorporates a fully automated ALI system because implementation has been hindered by a lack of established industry thresholds of measurable performance that would trigger an actionable response. Therefore, this paper addresses this gap by presenting a new method that utilizes the Internet of Things (IoT) to collect quantifiable data which can trigger an actionable response in real time based on established thresholds. This novel method integrates the Construction Industry Institute (CII) active leading indicator framework with a prototype IoT-based system. Significantly, the ALI provides the physical–virtual feedback loop, which is an essential aspect of the IoT system because it provides real-time feedback to both the users and systems. This paper also identifies potential inputs to the ALI framework from emerging IoT-enabled systems. A case study was presented to initially validate the IoT-based ALI framework. Bluetooth-enabled heart rate monitors were issued to workers in a hazardous and critical mining construction site. The ALIs that were recorded included heart rate and body temperature. Thresholds were established that alerted the monitoring safety staff when a worker exhibited potentially unsafe conditions. The results of the study demonstrated the feasibility of the system. Additionally, other results included worker resistance; non-disclosing of medical conditions, and limitations for IoT connectivity.

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Section: Leading Indicator Datamentioning

confidence: 99%

Leading Indicators—A Conceptual IoT-Based Framework to Produce Active Leading Indicators for Construction Safety

Costin

Wehle

Adibfar

2019

Safety

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“…The four measures used to examine worker perceptions of their OHS environment included the Organizational Performance Metric–Monash University (OPM‐MU; Shea, De Cieri, Donohue, Cooper, & Sheehan, ), a measure of supervisor support for safety (Lauver, Lester, & Le, ), a measure of prioritization of OHS (Sheehan, Donohue, Shea, Cooper, & De Cieri, ), and a measure of team psychological safety (Edmondson, ). The OPM‐MU (Shea et al., ) is an adaptation of the Institute for Work and Health–Organizational Performance Metric (Institute for Work & Health, ) and contains eight items measuring leading indicators of OHS (e.g., workers and supervisors have the information they need to work safely).…”

Section: Methodsmentioning

confidence: 99%

Postincident Support for Healthcare Workers Experiencing Occupational Violence and Aggression

Shea

Cooper

Cieri

et al. 2018

J of Nursing Scholarship

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“…Vehicle traffic flow models are typically developed using FD principles (Lighthill and Whitham, 1955;Richards, 1956;Tosin and Zanella, 2019;Guo et al, 2020), and several traffic-related theories are analogous to fluid-related theories (Peng, 2013;Ma et al, 2018;Zhao et al, 2018). Pedestrian movement studies have also adopted FD analogies as a foundation for modeling (Qiu et al, 2018;Sun, 2018). FD models have been utilized in an ecological context to estimate species movement rates across terrestrial landscapes (Feliciani and Nishinari, 2018), supply chain inventory analysis (Kachani and Perakis, 2006), and manufacturing systems (Wiendahl et al, 2002;Efthymiou et al, 2009).…”

Section: Application Of Fd To Alternate Domainsmentioning

confidence: 99%

A Novel Approach Based on Fluid Dynamics for On-Site Safety Assessment

Liu

Chong

2021

KSCE J Civ Eng

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Construction safety assessment is a major component of safety management in construction projects. However, thus far, most assessment studies have focused on either cross-sectional or longitudinal performance. This study aims to develop a proactive and preliminary safety assessment method using a fluid dynamics (FD) approach by integrating longitudinal contractor performance with cross-sectional safety conditions. To this end, an FD framework was first developed using three processes: (a) identifying the connections between FD principles and safety analogs, (b) incorporating the Darcy-Weisbach equation into the framework, and (c) modifying FD equations for construction safety assessment. Subsequently, two case studies were investigated, and the results obtained were compared and verified with one existing assessment results. The results indicate that the state of safety at a construction site incorporates both the occurrence of hazards and conservation of energy. Thus, the proposed FD approach can be used to preliminarily assess and predict safety conditions by combining safety-related measures with the dynamic characteristics of construction processes. The approach considers a comprehensive range of indicators and parameters, which enables the comparison of safety performance between projects or assessment periods by independently changing parameters.

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Leading and lagging indicators of occupational health and safety: The moderating role of safety leadership

Cited by 63 publications

References 55 publications

Leading Indicators—A Conceptual IoT-Based Framework to Produce Active Leading Indicators for Construction Safety

Leading Indicators—A Conceptual IoT-Based Framework to Produce Active Leading Indicators for Construction Safety

Postincident Support for Healthcare Workers Experiencing Occupational Violence and Aggression

A Novel Approach Based on Fluid Dynamics for On-Site Safety Assessment

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