Age, gender, personality, burnout, job characteristics and job content as predictors of driver fatigue.

Objectives. Several studies have shown that one of the most common causes of collision is driver fatigue since fatigue causes drowsiness while driving and this decreases the driver's ability to maneuver the vehicle and increases the probability of their nodding off and falling asleep at the wheel. This may be due to a variety of personal reasons and specific factors connected to working conditions. In the present work we therefore intend to develop a predictive model for fatigue in professional drivers using the following indicators: age, gender, personality, burnout, characteristics and job content. Method. The participants were 516 professional drivers from different transport sectors, obtained through non-probabilistic sampling. SPSS version 25.0 was used for data analysis. Results. The predictive capacity of a number of variables that affect drivers by causing fatigue is determined. Fatigue can be predicted through certain variables, with the best predictor being exhaustion (48.8%). Conclusions. This research contributes to a greater knowledge of the factors that produce fatigue in professional drivers. It highlights the importance of designing interventions to reduce the incidence of fatigue, resulting in greater well-being for the driver and a lower incidence of collisions.

Personality and impulsivity as antecedents of occupational health in the construction industry.

Objectives. In health and safety at work, two main groups of causes of occupational accidents have been identified: unsafe conditions or technical factors; and the causes related to safe behavior or the human factor. The objective of this study is to analyze the predictive variables (emotional intelligence, personality, impulsivity and safety of the work environment) for three factors of the CONS-32 scale (criterion variables: use of protections, personal risk behavior and personal physical workload) in the construction sector. Methods. Using a sample of 256 Spanish workers from this sector, we analyzed the significant correlations between the three criterion variables and a set of variables extracted from various instruments, as well as the regression models that explain most of the variance. Results. The results show that the main predictive variables that explain the three factors are those related to responsibility as a personality trait, impulsivity and safety of the work environment. Conclusions. Based on the empirical evidence found, the most explanatory factor in all cases is safety climate in the work environment.

Gaining a Better Understanding of the Types of Organizational Culture to Manage Suffering at Work.

Organizational culture is a central concept in research due to its importance in organizational functioning and suffering of employees. To better manage suffering, it is necessary to better understand the intrinsic characteristics of each type of culture and also its relationships with the environment. In this study, we used the multiple regression analysis to analyze the capacity of eight environment variables, five business strategies, and eight organizational competencies to predict the presence of Clan, Market, and Hierarchy cultures (Cameron and Quinn, 1999) in a subsample of Spanish managers (n 1 = 362) and a subsample of Peruvian managers (n 2 = 1,317). Contrary to what most of the literature suggests, we found almost no relationship between the environmental variables and the culture types. Strategy and competencies, in contrast, do have a significant predictive capacity, showing 9 links with the Clan culture, 7 with the Hierarchy culture, and 10 with the Market culture. In conclusion, this study has found the important characteristics of the types of organizational culture that could be useful to better manage the suffering of employees.

Spanish Adaptation of the Organizational Culture Assessment Instrument: Reflection on the Difficulty in Transferring the ad hoc Factor.

The Organizational Culture Assessment Instrument is a common instrument for measuring organizational culture in English-speaking countries based on four factors: Clan, ad hoc, Market and Hierarchy. However, to date, there is no proper translation of the scale into Spanish. In this study, we describe the translation and adaptation of the instrument through Exploratory Factor Analysis with a Spanish sample (n 1 = 246; 69.9% men and 30.1% women) and Confirmatory Factor Analysis with a Peruvian sample (n 2 = 510; 70.4% men and 29.6% women). The result reduces the four-factor internal structure to a three-factor structure that retains the Clan, Market and Hierarchy factors, but completely excludes the ad hoc factor. Confirmatory Factor Analysis shows acceptable indicators, reliabilities are good and indication of validity is also confirmed. In conclusion, this study has given rise to the instrument in Spanish, called OCAI-12, which is suitable for evaluating organizational culture.

Predictive power of selected factors over driver stress at work.

Professional drivers are considered prone to health risks. For this reason we have conducted a predictive study to analyze variables that may be predictors of stress in driving. Participating in this study were 372 drivers (93.4% men, 6.6% women) recruited through non-probabilistic sampling. The aim of the study is to develop a prediction model for job stress in professional drivers using the following indicators: personality, impulsiveness, hardy personality, job, age, seat comfort, seat suspension, lumbar support and driving hours. We found that the variables with predictive power over driving stress were: commitment over relaxed driving (ΔR2 = 0.101; ß = 0.135), danger prevention (ΔR2 = 0.139; ß = 0.342) and fatigue and anxiety (ΔR2 = 0.063; ß = -0.227); control over alertness and vigilance (ΔR2 = 0.069; ß = 0.278); agreeableness over sensation-seeking (ΔR2 = 0.047; ß = -0.268). In conclusion, driver stress can be predicted by certain variables. This study contributes to better understanding of driver stress and promotes safety at the wheel, thus helping to prevent traffic accidents.