Citation

Kiani F, Borjali A. Safety Promot. Inj. Prev. (Tehran) 2018; 5(3): 157-168.

Copyright

(Copyright © 2018, Shahid Beheshti Medical University)

DOI

unavailable

PMID

unavailable

Abstract

Background and Objective:This study was carried to assess the human and organizational factors as predictors of work situation awareness among workers of Parskhodro Automobile Company. It was assumed that human factors (fatigue, sleepiness, job stress, fatalism, personality characteristics and cognitive failures) and organizational variables (job overload, safety climate and interpersonal conflict at work) as predictors variables can separate workers with low and high work situation awareness of each other.

Materials and Methods: This research is a cross-sectional study. 154 workers using a stratified random sampling method were selected among all operational staff working in the Parskhodro Automobile Company in 2015. At first, participants using the scale of work situation awareness were divided into the two groups (workers with low and high work situation awareness). Then, each group was measured with other questionnaires. In this study analyzed the data of discriminate analysis and to validate the scales of confirmatory factor analysis and Pearson correlation.

Results: The findings of discriminate equation confirmed research hypothesis. In other words, can predict work situation awareness among workers by human and organizational variables. Also, research results showed the importance of sleepiness, job stress, personality traits (neuroticism, extraversion, agreeableness, and conscientiousness), cognitive impairment and safety climate as predictors of work situation awareness.

Conclusion: Considering the importance of human and organizational variables in predicting the work situation awareness, it is suggested to these variables in selecting and training of workers for employing in high-risk and operational to be emphasized.

Language: en

Keywords

Human resources; Organizational structure; Situation Awareness