Big five personality traits as predictors of safety attitudes in aviation maintenance personnel

• Questionnaire-based study performed with adapted version of Flight Safety Attitudes Questionnaire. • Safety attitudes correlated positively with extraversion, agreeableness, conscientiousness, and openness; negatively with neuroticism. • Conscientiousness, agreeableness, extraversion can predict positive safety attitudes, even after controlling for demographic variables. • Conscientiousness most influential predictor across all safety attitudes, including teamwork in emergencies and effective communication. • Total and role-specific work experience have the potential to contribute positively to safety culture and adherence to procedures. This paper explores the relationship between personality traits, as measured with the Big Five Inventory, and safety attitudes among aviation maintenance personnel. A questionnaire-based study was performed with an adapted version of the Flight Safety Attitudes Questionnaire (FSAQ). A correlational analysis explored the relationship between the five personality traits and safety attitudes. The results indicated that safety attitudes were significantly positively correlated with extraversion, agreeableness, conscientiousness, and openness, while negatively correlated with neuroticism. Moreover, a robust regression analysis was conducted to determine whether personality traits explain additional variance in safety attitudes beyond the influence of demographic factors. The regression analysis has identified that conscientiousness, agreeableness, and extraversion can predict positive safety attitudes, even after controlling for demographic variables such as length of work experience and leadership roles. Conscientiousness was found to be the most influential predictor across all safety attitudes, including teamwork in emergencies and effective communication. Both total and role-specific work experience have the potential to contribute positively to safety culture and adherence to procedures. The potential integration of personality assessments into safety training may contribute to a positive safety culture and, thus, improved safety performance. The study contributes to the body of knowledge on personality-informed safety interventions. Also, it highlights the benefits that may be brought via tailored Maintenance Resource Management (MRM) training approaches for aviation maintenance personnel.

Authors

Institutions

Publication Details

Journal
Safety Science
Published
2026-03-17
DOI
https://doi.org/10.1016/j.ssci.2026.107197
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Big five personality traits as predictors of safety attitudes in aviation maintenance personnel

Anna V. Chatzi, Dimitrios Chionis, Kyriakos I. Kourousis, Yeojin Kil et al.
Safety Science
Occupational Health and Safety Research
article

Big five personality traits as predictors of safety attitudes in aviation maintenance personnel

Anna V. Chatzi, Dimitrios Chionis, Kyriakos I. Kourousis, Yeojin Kil, Wim J.C. Verhagen
article en

Abstract

• Questionnaire-based study performed with adapted version of Flight Safety Attitudes Questionnaire. • Safety attitudes correlated positively with extraversion, agreeableness, conscientiousness, and openness; negatively with neuroticism. • Conscientiousness, agreeableness, extraversion can predict positive safety attitudes, even after controlling for demographic variables. • Conscientiousness most influential predictor across all safety attitudes, including teamwork in emergencies and effective communication. • Total and role-specific work experience have the potential to contribute positively to safety culture and adherence to procedures. This paper explores the relationship between personality traits, as measured with the Big Five Inventory, and safety attitudes among aviation maintenance personnel. A questionnaire-based study was performed with an adapted version of the Flight Safety Attitudes Questionnaire (FSAQ). A correlational analysis explored the relationship between the five personality traits and safety attitudes. The results indicated that safety attitudes were significantly positively correlated with extraversion, agreeableness, conscientiousness, and openness, while negatively correlated with neuroticism. Moreover, a robust regression analysis was conducted to determine whether personality traits explain additional variance in safety attitudes beyond the influence of demographic factors. The regression analysis has identified that conscientiousness, agreeableness, and extraversion can predict positive safety attitudes, even after controlling for demographic variables such as length of work experience and leadership roles. Conscientiousness was found to be the most influential predictor across all safety attitudes, including teamwork in emergencies and effective communication. Both total and role-specific work experience have the potential to contribute positively to safety culture and adherence to procedures. The potential integration of personality assessments into safety training may contribute to a positive safety culture and, thus, improved safety performance. The study contributes to the body of knowledge on personality-informed safety interventions. Also, it highlights the benefits that may be brought via tailored Maintenance Resource Management (MRM) training approaches for aviation maintenance personnel.

Safety ScienceVol. 199
University of Limerick (IE), Oldham Council (GB), RMIT University (AU)
Openalex Percentile: Top 21%
Occupational Health and Safety Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.