KJCKorea
Journal Central

This study examines the association between vocational training participation during the preceding survey interval and subsequent employment status and labor market transitions, using individual-level data from Waves 20–27 of the Korean Labor and Income Panel Study. The data were reorganized into a person-wave panel, and the analysis combined two-way fixed effects models with transition models stratified by prior employment status. The results show that lagged vocational training participation is positively associated with current employment. It is also associated with a higher likelihood of transition from non-employment to employment and a lower likelihood of transition from employment to non-employment. Differences across the pre-, during-, and post-COVID-19 periods were observed only in some fixed-effects specifications and were not consistently supported by the transition models. Therefore, the findings should be interpreted as empirical associations identified through panel fixed-effects and transition analyses rather than as definitive causal effects. This study contributes to the literature by assessing vocational training outcomes from the dual perspective of re-employment and employment retention rather than relying solely on a static measure of employment status.

This study aims to analyze the relationship between local government guidance on work-life balance policies and perceptions of employee and organizational performance among human resource managers in Korean business establishments, and to verify the mediating effect of policy awareness. For this purpose, raw data from the 2023 Work-Family Balance Survey were used, and the final sample consisted of human resource managers from 5,000 business establishments. The results showed that the provision of information on work-life balance policies was significantly negatively associated with perceptions of employee and organizational performance, while it was significantly positively associated with policy awareness. In addition, policy awareness was significantly positively associated with perceptions of employee and organizational performance and showed a significant mediating effect in the relationship between policy information provision and performance perceptions. These findings suggest that policy information provision may be directly associated with less favorable performance perceptions, while indirectly contributing to more positive performance perceptions through enhanced policy awareness. Therefore, future policy efforts should go beyond simply expanding information provision and should also strengthen tailored guidance and implementation support to improve HR managers’ understanding and practical use of work-life balance policies.

This study examines how AI-based perceived personalization and health interest are associated with customer loyalty through flow and whether self-efficacy moderates the relationship between perceived personalization and flow in mobile healthcare apps. Data were collected from 262 adult users with mobile healthcare app experience via an online self-administered survey conducted by a professional survey firm from July 24 to 30, 2025. Confirmatory factor analysis assessed the measurement model. Structural equation modeling including direct paths and 5,000 bootstrap resamples tested the structural paths and indirect effects, while moderation was examined using standardized composite-score regression. Perceived personalization and health interest showed significant positive paths to flow, and flow showed a significant positive path to customer loyalty. The indirect effect of perceived personalization was significant. The indirect effect of health interest was significant based on the BCa confidence interval but was sensitive to the confidence-interval method. The moderating effect of self-efficacy was not significant. These findings suggest that personalization design and users’ health interest may be linked to loyalty through flow, emphasizing the importance of early experience design in mobile healthcare apps.