Linking emotional intelligence to safety performance: The roles of situational awareness and safety training

Emotional intelligence as a conduit for improved occupational health safety environment in the oil and gas sector

To address the issue of promoting occupational health and safety at the workplace, this study aimed to evaluate the mediating effect of four different dimensional constructs of Emotional Intelligence (EI) on the influence Occupational Health and Safety Management Practices (OHSMP) hold on safety performance and workplace accidents among oil and gas workers. The study is explanatory research that adopted a cross-sectional survey design. Convenience and stratified sampling techniques were used to select 699 respondents from the three major government-owned oil and gas organizations. The multiple standard regression and bootstrapping mediation methods were used for data analysis after subjecting the data to exploratory and confirmatory factor assessments. Results indicated that OHSMP significantly predicts EI, safety performance, and workplace accidents. Again, EI was found to predict safety performance and workplace accidents significantly. Results also indicated that all the construct dimensions for measuring EI significantly explain the relationship between OHSMP and safety performance, as well as the influence of OHSMP on workplace accidents. The theoretical basis for these findings is that workers with high-level EI are likely to cope with occupational health and safety lapses or safety-related challenges at the workplace by participating and complying with the organization's safety management practices or procedures. Such employees are likely to exhibit safe working behaviors and contribute to improving safety performance in the organization.

The effect of COVID-19 on self-reported safety incidents in aviation: An examination of the heterogeneous effects using causal machine learning

INTRODUCTION

Disruptions to aviation operations occur daily on a micro-level with negligible impacts beyond the inconvenience of rebooking and changing aircrew schedules. The unprecedented disruption in global aviation due to COVID-19 highlighted a need to evaluate emergent safety issues rapidly.

METHOD

This paper uses causal machine learning to examine the heterogeneous effects of COVID-19 on reported aircraft incursions/excursions. The analysis utilized self report data from NASA Aviation Safety Reporting System collected from 2018 to 2020. The report attributes include self identified group characteristics and expert categorization of factors and outcomes. The analysis identified attributes and subgroup characteristics that were most sensitive to COVID-19 in inducing incursions/excursions. The method included the generalized random forest and difference-in-difference techniques to explore causal effects.

RESULTS

The analysis indicates first officers are more prone to experiencing incursion/excursion events during the pandemic. In addition, events categorized with the human factors confusion, distraction, and the causal factor fatigue increased incursion/excursion events.

PRACTICAL APPLICATIONS

Understanding the attributes associated with the likelihood of incursion/excursion events provides policymakers and aviation organizations insights to improve prevention mechanisms for future pandemics or extended periods of reduced aviation operations.

Trait emotional intelligence in American pilots

There is a dearth of trait emotional intelligence (trait EI) research within an aviation context. Using the Trait Emotional Intelligence Questionnaire (TEIQue), the present study investigated potential trait EI differences between pilots and general population controls in the United States. The forty-four pilots who volunteered to participate were primarily male (93%) and between 24 and 67 years with a wide range of flight experience (150–5000 + hrs.) They were matched with controls based on age, gender, and ethnicity. Comparisons on global trait EI and the four trait EI factors revealed significant differences, with pilots scoring consistently lower than their matched counterparts in global trait EI, Well-being, Emotionality, and Sociability, but not Self-control. Overall, the findings indicated that pilots felt less connected to their emotional world than controls. Though limited by sample size and participant diversity, the results provide a basis for future studies into the trait EI profile of pilots, which had not been previously investigated.