• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.8096-8105
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• 2015

The purpose of this research is to understand influence of personal turnover factors and work turnover factors on job satisfaction in career decision-making and to analyze the moderating effects of supervisor support in their relations. Meaningful difference between one group with high supervisor support and other group with low supervisor support is demonstrated in regard with a course; job burnout ${\rightarrow}$ job satisfaction, and work overload ${\rightarrow}$ job satisfaction. Hence from a perspective of the course of job burnout ${\rightarrow}$ job satisfaction and work overload ${\rightarrow}$ job satisfaction, it can be argued that a group with low supervisor support yields more influence. Also it is shown that conflicts on balancing between job and family do not have influence on job satisfaction for either group with high supervisor support or with low supervisor support. As the result of the research shows, it bears a quite significant meaning that career development/lack of opportunity out of personal turnover intentions disclose difference between these two groups with different levels of supervisor support. Especially, a group of flight attendants which females are consisted of a majority of employees would require that their supervisors have more emotional interactions with each employee, so as that better opportunity would be given to the employees. To this end, utmost efforts are needed that deep and genuine relations with a supervisor can be built up.

• Journal of the Korea Safety Management & Science
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• v.24 no.1
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• pp.81-89
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• 2022

Since the competitive environment, work overload among employees has been increasing. The purpose of this paper is to investigate the impact of work overload on safety behavior and its intermediating mechanisms. In specific, this paper delves into the mediating effect of job stress, as well as the moderating effect of job crafting in the association between work overload and job stress. To empirically test the hypotheses, this study utilized survey data from 168 Korean employees by conducting structural equation modeling(SEM) analysis. The results demonstrated that work overload has a positive (+) influence on job stress, which has a negative (-) influence on safety behavior. Moreover, job stress mediated the association between work overload and safety behavior. Furthermore, job crafting moderated the work overload-safety behavior link.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.59-69
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• 2023

Previous works on safety behavior have paid less attention to the influence of several leadership styles on safety behavior. Among the various leadership styles, I focus on the effect of coaching leadership on safety behavior. To be specific, this paper investigates the impact of coaching leadership on safety behavior and its underlying mechanisms (mediator) as well as contextual factor (moderator). This research examines the sequential mediating effect of perceived organizational support and organizational identification in the association between coaching leadership and safety behavior. Also, work overload will negatively moderate the coaching leadership-perceived organizational support link. My results showed coaching leadership increases employee safety behavior through the sequential mediation of perceived organizational support and organizational identification. In addition, work overload functions as a negative moderator which diminishes the positive effect of coaching leadership on perceived organizational support.

• Korean Journal of Occupational Health Nursing
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• v.22 no.2
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• pp.130-139
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• 2013

Purpose: This study was to identify the relationship among clinical nurse's job overload, self-efficacy, emotional exhaust and turnover intention. Methods: The study was conducted through a survey on 537 clinical nurses in five general hospitals. The data were collected by self-reporting questionnaires and analysed by the SPSS/WIN 17.0 program using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression. Results: The mean score of turnover intention was 3.04. Turnover intention according to age, total career, job objective, and work off showed significant differences. The significant positive correlations between emotional exhaust and turnover intention (r=.531, p<.001), job overload and turnover intention (r=.514, p<.001) were found. The significant factors influencing turnover intention were emotional exhaust (${\beta}$=.488, p<.001), career (${\beta}$=.175, p<.001), job overload (${\beta}$=.119, p= .003), and number of night (${\beta}$=.117, p=.002), which accounted for 40.3% of the variance. Conclusion: Thought this result, nursing managers should analyze the reasons for high turnover intention, focusing on the main factors affecting turnover intention and consider the solutions to decrease the turnover intention.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.101-114
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• 2015

The purpose of this study is first to understand agent's turnover from both academic and perspectives. Then we suggest convergence of smart work paradigm and supervisor's support as the relieving factors of turnover, The research model of this study is based upon reviews of turnover literature, the smart work and supervisor's support as moderating variables from which research hypotheses were derived. The data came from the survey from financial sector agents such as banking, insurance, and others. The analyses has been done by SPSS 20.0, We used multiple regressions to test the effects of the tested variables on the dependent variable, job satisfaction. The results of this study find significant relations of smart work and supervisor's supports in relations to personal and job-related turnover. The implication is smart work and supervisor's supports play significant role in increasing job satisfactions. Major finding is too much supervisor's supports ignoring agent's situations may bring reverse effects on relieving turnover.

• Informatization Policy
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• v.26 no.4
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• pp.36-61
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• 2019

While smart devices can have a positive impact on work efficiency and productivity by reducing time-space constraints and enabling rapid processing of tasks, side effects can arise from the imbalances between work and personal life. In recent years, as smart devices are increasingly used in work environments, it is more necessary than ever to understand the related phenomenon, find the cause of negative effects, and search for appropriate solutions. This study has developed and verified a theoretical model that shows how the technical characteristics known as the utility of smart devices are converted into negative results such as work-life conflict. As a result of analyzing the collected data from the employees, our study provides significant implications for the researchers, as well as the practitioners and policy makers, regarding various relationships among IT-enabled work flexibility, after-hours work connectivity and work-life conflict, and the new knowledge about the important role of segmentation supplies from the organization.

• Journal of Venture Innovation
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• v.7 no.3
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• pp.25-43
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• 2024

The rapid advancement of the 4th Industrial Revolution and the ongoing effects of COVID-19 significantly accelerated the adoption of smart work practices, especially in the financial sector. This study aimed to empirically investigate the impact of smart work on job satisfaction among employees in this industry. Specifically, the study examined the effects of time flexibility and workplace flexibility (as quantitative elements of smart work) and work autonomy (as a qualitative element) on job satisfaction. Additionally, the study explored the impact of technostress factors, including techno-overload, techno-invasion, and techno-complexity. Using data from 250 valid survey responses collected from financial sector employees, the study employed structural equation modeling (SEM) with AMOS to analyze the relationships. The findings revealed that time flexibility and work autonomy positively influenced job satisfaction, with work autonomy being the most significant predictor. Conversely, techno-overload and techno-invasion negatively affected job satisfaction. However, workplace flexibility and techno-complexity did not show a significant relationship with job satisfaction, possibly due to the already established norms in the financial sector, where remote work and high-level technology usage were standard practices. A critical aspect of the study was the examination of work-life balance as a mediating factor. The analysis confirmed that work-life balance mediated the relationship between work autonomy, techno-overload, techno-invasion, and job satisfaction. This suggested that maintaining a balance between work and personal life was crucial for enhancing job satisfaction in smart work environments, particularly in the financial sector. Effective management of technostress was essential to preserving this balance and improving overall employee satisfaction. These findings contributed to the academic understanding of how smart work practices and technostress impacted job satisfaction. They offered practical insights for financial sector organizations seeking to optimize smart work environments by emphasizing the importance of work-life balance and carefully managing technostress factors.