• Asian Journal of Business Environment
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• v.14 no.2
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• pp.11-18
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• 2024

Purpose: The purpose of this study is to empirically evaluate the unintended welfare losses induced by paid sick leave, examine the severity of the unintended moral hazard loss caused by paid sick leave, and evaluate how much moral hazard cost society can accept to obtain paid sick leave benefits. Research Design, Data and Methodology: We examine the Medical Expenditure Panel Survey data collected in 2013 and 2014 by employing a panel probit analysis to control for individual heterogeneity. Results: The estimation result shows that the probability of absence due to paid sick leave increases from 4.91% to 7.84%. Among them, excluding the probability of increasing absence from 1.29% to 2.69% due to the actual disease, the probability of absence due to the moral hazard was estimated to be 2.41% to 6.49% in the proposed models. Based on the result, if we evaluate the increase in absence caused by moral hazard as a social cost, the estimated cost is approximately $174 to $297 per worker per year. Conclusion: Considering these expected costs, our society can obtain the access benefit from paid sick leave if we are willing to accept the moral hazard cost.

• Journal of Labour Economics
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• v.36 no.3
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• pp.1-27
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• 2013

This paper estimates the employment and wage effects of the duration of leave of absence for job preparation activities and the duration of leave of absence due to economic difficulties by using the first wave of the Graduates Occupational Mobility Survey of 2009 (2009GOMS1). The employment probability and wage increase by 1.6 percentage points and 4.0 percentage, respectively, with a month of the duration of leave for job preparation activities. The employment probability and wage decrease by 3.6 percentage points and 7.2 percentage, respectively, with a month of the duration of leave due to economic difficulties.

• Safety and Health at Work
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• v.12 no.4
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• pp.536-543
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• 2021

Background: Sickness absenteeism is an area of concern in nursing and is more concerning given the recent impacts of the COVID-19 pandemic on healthcare. This study is one of two meta-analyses that examined sickness absenteeism in nursing. In this study, we examined demographic, lifestyle, and physical health predictors. Methods: We reviewed five databases (CINAHL, ProQuest Allied, ProQuest database theses, PsycINFO, and PubMed) for our search. We registered the systematic review (CRD de-identified) and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Additionally, we used the Population/Intervention/Comparison/Outcome Tool to improve our searches. Results: Following quality testing, 17 articles were used for quantitative synthesis. Female employees were at higher risks of sickness absenteeism than their male counterparts (OR = 1.73; 95% CI: 1.33-2.25). Nursing staff who rated their health as poor had a greater likelihood of experiencing sickness absence (OR = 1.38; 95% CI: 1.19-1.60). Also, previous sick leave predicted future leaves (OR = 3.35; 95% CI: 1.37-8.19). Moreover, experiencing musculoskeletal pain (OR = 2.41 95% CI: 1.77-3.27) increased the likelihood of sickness absence with greater odds when it is a back pain (OR = 3.05; 95% CI: 1.66-5.62). Increased age, physical activity, and sleep were not associated with sick leave. Conclusion: Several variables were statistically associated with the occurrence of sickness absenteeism. One primary concern is the limited research in this area despite alarming rates of sick leave in healthcare. More research is required to identify predictors of sickness absence, and thereby, implement preventative measures.

• Safety and Health at Work
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• v.2 no.4
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• pp.313-320
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• 2011

Objectives: To analyze the association between changes in perceived physical and psychosocial working conditions and change of sickness absence days in younger and older (< 50 and ${\geq}50$ years) food industry employees. Methods: This was a follow up study of 679 employees, who completed working conditions survey questionnaires in 2005 and 2009 and for whom the requisite sickness absence data were available for the years 2004 and 2008. Results: Sickness absence increased and working conditions improved during follow-up. However, the change of increased sickness absence days were associated with the change of increased poor working postures and the change of deteriorated team spirit and reactivity (especially among < 50 years). No other changes in working conditions were associated with the changes in sickness absence. Conclusion: Sickness absence is affected by many factors other than working conditions. Nevertheless, according to this study improving team spirit and reactivity and preventing poor working postures are important in decreasing sickness absence.

• Korean Journal of Occupational Health Nursing
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• v.25 no.3
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• pp.216-226
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• 2016

Purpose: This study was to examine the influences of working conditions and health status on absence due to sickness in health and medical related workers. Methods: Data from the Third Korean Working Condition Survey was used. Study participants included 929 workers who have been working in the medical and healthcare fields. Descriptive analysis, independent t-test, ${\chi}^2$ test, Fisher's exact test and logistic regression analyses were performed using SPSS 21.0 statistical program. Results: Absence due to sickness was found in 7.8% of health and medical related workers. Absence due to sickness differed significantly depending on monthly income, company size, work-related musculoskeletal risk factors, job control, physical health problems and subjective health status would be important factors affecting absence. Conclusion: This study provides evidences that predictors of absence due to sickness in workers of medical and healthcare fields are identified. Therefore, we need the active support for health care service promotion and prevention for predictors of absence due to sickness.

• Korean Journal of Childcare and Education
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• v.20 no.2
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• pp.127-143
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• 2024

Objective: The purpose of this study is to develop a machine learning model to predict the subsequent childbirth intention of married women with one child, aiming to address the low birth rate problem in Korea, This will be achieved by utilizing data from the 2021 Family and Childbirth Survey conducted by the Korea Institute for Health and Social Affairs. Methods: A prediction model was developed using the Random Forest algorithm to predict the subsequent childbirth intention of married women with one child. This algorithm was chosen for its advantages in prediction and generalization, and its performance was evaluated. Results: The significance of variables influencing the Random Forest prediction model was confirmed. With the exception of the presence or absence of leave before and after childbirth, most variables contributed to predicting the intention to have subsequent childbirth. Notably, variables such as the mother's age, number of children planned at the time of marriage, average monthly household income, spouse's share of childcare burden, mother's weekday housework hours, and presence or absence of spouse's maternity leave emerged as relatively important predictors of subsequent childbirth intention.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.36-50
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• 2018

The subjects of this study are three visually-impaired undergraduates currently considering if they should take a leave of absence after finishing the first year in S University located in Busan City. From March to July, 2018, this researcher explored the meaning of their university entrance and the essential meaning and structure of their school life experiences by using Giorgi's phenomenological methodology. According to the results, this author drew 32 meaningful statements and also 10 main themes, "the excitement of campus life and the name of being an undergraduate", "parents' suggestion", "something other than being a massager", "Is it a place that anyone can enter? Or, is it a special place?", "loneliness within the public", "Everything is an obstacle.", "It's not giving up, but still I am in a vague moment.", "the beginning of another conflict", and "studying in a university is not for the present but for the future". They were categorized into being a university student and the meaning of it (category1), adaptation to university life and reality (category 2), and one year after the entrance: the meaning of being a university student (category 3). Based on the above results, this author intends to provide foundational material about what universities can do for visually-impaired students to adapt to university life in the initial steps properly.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.73-79
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• 2017

The purpose of this study was to identify differences in stress, interpersonal relations, learning perceptions and self-efficacy of nursing students participating in team based learning simulation practices. The study group consisted of 24 students in the third grade who attended nursing college. Data were collected using questionnaires. The collected data were analyzed by SPSS 22 version's descriptive statistics, t-test, and paired t-test. The results showed that stress and learning perceptions were significantly different according to gender, leave of absence in pre and post - test. After the practice of team - based simulation, the stress of nursing college students decreased and interpersonal relations and self - efficacy were improved. The results of this study showed that nursing students' gender and absence of school should be considered in the team - based simulation. Further research on team based simulation practice involving interpersonal relationships is needed.

• The KIPS Transactions:PartC
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• v.10C no.3
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• pp.265-272
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• 2003

RBAC is an Access Control Mechanism for security administration of system resource and technique attracting in commercial fields because of reducing cost and complexity of security administration in large network. Many RBAC's research is progressive but several problems such as the delegation of role have been pointed out concerning the mechanism. It is necessary that a person's role delegate someone with reliability by reasons of a leave of absence, sick leave and the others. But the existing RBAC standards don't give definition of the delegation of roles. In this paper, we propose RBAC model that delegator can delegate subset of role and permission to a delegatee so that more efficient access control may be available.

• Korea Journal of Hospital Management
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• v.29 no.3
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• pp.11-25
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• 2024

Purpose: This study investigates the factors influencing medical school faculty's entrepreneurial decisions and prioritizes these factors. Methodology: The study examines the determinants of entrepreneurial decisions among medical school faculty by reviewing prior studies. These determinants were categorized into four perspectives: resource-based, industrial organization, entrepreneur characteristics, and other. Using the Analytic Hierarchy Process(AHP), the study analyzed the relative priorities of 27 specific indicators. Surveys were conducted with medical school faculty with startup experience, professors with relevant expertise, and organizational leaders involved in entrepreneurship. A total of 33 responses were validated for consistency, and an empirical analysis identified the priority of factors influencing medical school faculty startups. Findings: The findings reveal that 'entrepreneur characteristics' and 'institutional and organizational support' are the highest priority factors for medical school faculty. Key resource-based factors include the 'leave of absence' or 'concurrent employment policy,' availability of 'professional human resources,' and 'organizational support' specializing in startups. An integrated analysis shows that while intellectual resources such as research publications, patents, and physical space are necessary, the highest priority is given to leave policies, professional human resources, and organizational support. Practical Implication: Medical school faculty are recognized as key innovation agents in the bio-health industry. The results provide crucial insights for policymakers and stakeholders at governmental, institutional, and organizational levels. Strengthening self-competence, increasing entrepreneurship opportunities, and establishing professional human resources and organizational support within medical universities or hospitals are critical for facilitating medical school faculty startups.