Exploring the duality and balance research on human resource management (HRM), this study established two different HRM systems or bundles based on distinct guiding principles—the performance-oriented HRM system and the commitment-oriented HRM system. This study investigated whether the performance- and commitment-oriented HRM systems or bundles with different philosophical backgrounds have their own independent and additive effects on organizational outcomes. The relationships between these HRM systems and organizational outcomes were examined with 1735 firm-period samples in the longitudinal setting. The empirical results show that the commitment-oriented HRM systems have independent and additive effects on organizational commitment and human capital. However, the performance-oriented HRM systems have no independent and additive effect on organizational outcomes. Our study also indicates that increasing the performance-oriented HRM practices can be redundant and unnecessary unless firms have sufficiently high levels of the commitment-oriented HRM practices. Given that the definition and measures of commitment-oriented HRM bundles nearly match the characteristics of sustainable HRM, we thus argue that the commitment-oriented HRM systems have more potential to improve not only organizational outcomes and performance, but also human and social sustainability, than the performance-oriented HRM systems.
This study highlights the theme of human error of train drivers, conducting empirical analysis on the relationship between emergency stress, psychological fatigue, safety behavior, and accident. The hypothetical test results based on questionnaires received from 223 train drivers working at A subway firm indicate that emergency stress shows a significant positive effect on psychological fatigue, which in turn shows a significant negative influence on safety behavior. And safety behavior is shown having a significant negative relationship with accident. These results suggest the necessity of corporate-level approaches to depict the drastic causes of drivers' emergency stress, and to effectively manage this stress, as well as the necessity of making effort to enhance safety behavior, and to prevent or reduce accidents.
This study intended to testify the causality among three variables such as accident, depression and cognitive failure of the train drivers. For this purpose, two research models were suggested. Model 1 hypothesized the causality among three variables as 'depression ⟶ cognitive failure ⟶ accident'. On the other hand, model 2 hypothesized the causality among three variables as 'accident ⟶ depression ⟶ cognitive failure'.Results based on AMOS using 416 train drivers' questionnaire showed that model 2 is more valid than model 1. The statistical result of model 1 showed that depression has a positive effect on cognitive failure, however no significant relationship between depression and accident as well as between cognitive failure and accident. In model 2, the result showed that the accident has a positive effect on cognitive failure mediated by depression. This result suggests the necessity for establishment of countermeasures to mitigate mistake and cognitive failure caused by train drivers in a wider context, considering the causality between accident and depression.
In Korean society, the theme of human errors in railway has been emerging as a critical issue. As far as human error studies are concerned, main trend has been inclined to be led by industrial engineering and systems science. Apart from those trends, this study empirically highlighted the relationship between depression, which has been a frequent research subject in the medical science and psychology, and accidents, with setting depression as an exogenous variable and cognitive failure and mistake as endogenous variables, respectively. Results of hypotheses test for the 204 respondents showed that driver's depression has a significant effect on accidents mediated by cognitive failure and mistake. This findings suggest the need for exploring the diverse latent factors causing human errors and for understanding the complex cognitive process as well as for establishing integrative countermeasures to mitigate human errors.
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