• Journal of Korean Academy of Nursing
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• v.28 no.1
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• pp.159-170
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• 1998

This study was done using a Quasi-experimental research design to determine the effects of social support on compliance with sick role behaviors in hypertensive patients and to know if the effect of the social support on compliance lasted for at least 6 months. The subjects consisted of 81 hypertensive patients who were registered in the Cardio-Vascular OPD at Chonnam National University Hospital. They were divided by random sampling into 42 people for the experimental group and 39 for the control group. Data were gathered from June 3, 1996 to June 10, 1997 through individual interviews using a structured questionnaire. The results of the study were summarized as follows : 1. Compliance with sick role behaviors in hypertensive clients was significantly increased in the experimental group who received social support from the nurse as compared to the control group who did not receive social support(t=15.99. p<.001). 2. The effect of social support on compliance with sick role behaviors in hypertensive clients lasted for 6 months(t=7.99, p<.001). 3. Four of six people stopped smoking in experimental group after the intervention of social support, but none of the five in control group were able to stop smoking. Fisher's Exact test showed a significant difference between the experimental and control group(x²=4.385. p< .05). Mantel Haenszel test showed that the effect of social support on stopping smoking in the experimental group lasted for six months because there were no significant differences between one month after the social support and six months after, in the number of subjects who stopped smoking(x²=1.154, P>.05). Finally, social support was effective on compliance with sick role behaviors and stopping smoking in the hypertensive clients, and the effect of social support on compliance lasted for 6 months.

• International Journal of Advanced Culture Technology
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• v.7 no.1
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• pp.14-19
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• 2019

Stress affects the type of adaptation required for each case and the type of social support is also different. In order for social support to have a buffer effect on stress, we want to understand how to measure social support and support according to specific stress situations. Therefore, this study examines coping behaviors of community service workers exposed to these job stresses and examines the effect of support system (family support, peer support, superior support) on coping behavior. The purpose of this study is to investigate the effects of stress, coping resources and coping behaviors of community service workers. In this study, self - report method was used to investigate the questionnaire using structured questionnaires. In this study, the statistical program was used for data analysis and hierarchical regression analysis.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.95-114
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• 2020

This paper, a meta-analysis of the effect of the start-up support policy on the start-up performance was conducted to examine the effect of the start-up support policy on the start-up performance of beneficiary companies and to provide theoretical and practical implications to support organizations and practitioners. To this end, 35 papers containing the correlation coefficient, which is a positive statistical value, were selected from the previous studies in academic journals and dissertations published in Korea from 2007 to 2020. In the preceding study of the start-up support policy, the independent variables include funding, education support, facility/equipment support, network support, mentoring support, consulting support, marketing support, management support, technical support, manpower support, and finance as a dependent variable. The effect size of the impact on aptitude and non-financial performance was reviewed. The pattern of the effect size was presented as a forest plot for easy visual understanding, and outliers were verified through sensitivity analysis for small-study-effect data with publication convenience. As a result of analyzing the effect size of the government-supported policy, it was verified that the effect size was generally medium or higher, affecting the entrepreneurial performance. Among the independent variables, the factor that has the greatest effect on startup performance is manpower support, followed by technical support, marketing support, management support, facility/equipment support, education support, mentoring support, funding, network support, and consulting support. It was analyzed that the effect size was large in order. As the 「Small and Medium Business Startup Support Act」 was recently reorganized from the manufacturing industry to digital transformation and smartization on October 8, 2020, the start-up support policy should consider the start-up stage and verify the priorities to organize the budget.

• Human Ecology Research
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• v.60 no.2
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• pp.231-242
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• 2022

This study examines the relationship of adult attachment, social support, and subjective happiness of university students, and confirm the mediating effect of social support in the relationship between adult attachment and subjective happiness. Participants in this study consist of 284 university students enrolled in G city. Data were analyzed using SPSS and AMOS to conduct descriptive statistics, correlation analysis, and a structural equation model. The main findings are as follows. First, Attachment anxiety and attachment avoidance showed negative correlations with social support and subjective happiness. And social support showed a positive correlation with subjective happiness. Second, social support showed a partial mediating effect on the effect of attachment anxiety and attachment avoidance on the subjective happiness of university students. This study is meaningful in providing basic data for educational and counseling interventions that enhance subjective happiness of university students.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.333-369
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• 2023

In this paper, the effect of government corporate support projects on corporate growth was analyzed, and the effect on corporate financial performance or non-financial performance was empirically analyzed by using the growth stage as a modulating variable in government support activities. As a result, it was analyzed that government corporate support had a significant effect on financial performance, non-financial performance, and use of government support, and that the moderating effect of the growth stage had a positive (+) effect on both financial and non-financial performance. Taken together, the research results showed that government corporate support had a positive effect on corporate performance, the growth stage had a positive (+) effect on both financial and non-financial performance, and the impact on financial performance was even greater. Accordingly, government support projects must be supported according to each company's growth stage, and during the decline, companies need to provide customized support according to the state of the company through industry and corporate analysis, and it is expected to be meaningful to improve the efficiency of the government's business support project.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.620-633
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• 2022

The purpose of this study is to examine how SMEs' perception of organizational support affects turnover intention, and to investigate the moderating effect of abusive supervisionin the relationship between organizational support perception and turnover intention. As a result of the analysis of the study, First, it was confirmed that organizational support perception had a negative (-) effect on turnover intention. Second, the higher the organizational support awareness, the lower the turnover intention, but when the abusive supervision in intervened, it was found that the organizational support perception offsets the effect that reduces the turnover intention again. That is, emotional support, turnover intention still appeared even if the abusive supervisionin was involved, but instrumental support had no effect on turnover intention when the abusive supervisionin was involved. This study is meaningful in that it expanded the scope of manufacturing services, semiconductors, and IT industries of SMEs with high turnover intentions.

• Journal of Families and Better Life
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• v.26 no.6
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• pp.95-105
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• 2008

This study examined the mediation effect of life satisfaction between social support and loneliness. The subjects were two hundred and eighty fifth grade elementary school and second grade middle school adolescents in Seoul. The instruments used were questionnaires about loneliness and other factors relevant to loneliness. Social support factors existing in an adolescent's external environment include the support of parents, peers, and teachers. And life satisfaction as a psychological characteristic was concerned with the adolescent's sense of self, school life, home environment, and family relations. Data were analyzed by using the t-test, Pearson's correlation and regression. Major findings were as follows: (1) There were significant differences in parent and teacher support, satisfaction with school life, home environment, and family relations between early adolescents and mid adolescents. (2) Parental, peer, and teacher support, contentment with oneself, school life, home environment, and family relations were negatively related to the fifth-grade early adolescent's loneliness. Peer support and contentment with oneself, school life, and home environment were negatively related to the second-grade middle adolescent's loneliness. (3) Life satisfaction had a mediation effect between peer, parental, and teacher support and loneliness in fifth grade early adolescence. Whole life satisfaction had a mediation effect between only peer support and loneliness.

• The Journal of Korean Academic Society of Nursing Education
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• v.25 no.1
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• pp.125-135
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• 2019

Purpose: This study was conducted to determine the mediator effect of social support in the association between stress for college life and depression among nursing students. Methods: The participants of the study were 201 university students in A and C cities. Self-report questionnaires were used to measure the variables. In the data analysis, the SPSSWIN 25.0 program was utilized for descriptive statistics, Pearson's correlation, Sobel test and multiple regression analysis. Results: Mean scores of stress for college life, depression and social support were 2.56, 4.12 and 0.61, respectively. Stress for college life and depression showed a significant positive correlation (r=.60, p<.001), while depression and social support showed a significant negative correlation (r=-.46, p<.001). Lastly, stress for college life and social support showed a significant negative correlation (r=-.55, p<.001). The analysis of the mediator effect of social support in the association between stress for college life and depression showed that social support had a significant mediator effect. Conclusion: Among nursing students, social support may be a mediator in the association between stress for college life and depression. Therefore, strategies for nursing intervention to improve social support should be developed for nursing students.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.221-230
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• 2008

This paper reviewed the relationship between job characteristics and job stress responses(physiological response, psychological response, behavioral response), and the moderating effect of social support. Based on the responses from 187 employees in small & medium manufacturing industry, hierarchical regressional analysis showed that job characteristics factors have partly negative relationships with job stress response. But, job variety has positive relationship. Social support has partly moderating effect on the relationship between job characteristics and job stress.

• Architectural research
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• v.16 no.4
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• pp.149-156
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• 2014

This research is designed to identify factors that affect life satisfaction of the Korean elderly by studying residential environments and individual personalities as independent variables, and life satisfaction of the elderly as a dependent variable. It also includes emotional and instrumental support to describe relations between variables as mediating variables. It utilizes a questionnaire survey as its research method and studies those aged 65 and over living in urban, suburban and rural areas. In addition, regression and path analysis is used to identify casual links between different variables. The results are as follows: (1) Direct factors that impact emotional support are home ownership (direct effect= -.18) and transportation services (.15). That is, those who own their home and have easy access to public transpiration show increased levels of emotional support. (2) Direct factors that affect instrumental support are economic status (direct effect= .311) and living arrangement (.17). In other words, those who are financially stable and live with their children have more instrumental support. (3) Factors linked directly to life satisfaction of the elderly are their age (direct effect= -.10), health status (.19), economic status (.25), region of living (.22) and housing type (.19). (4) Among the mediating variables, emotional support has direct effect (.45) while instrumental support has indirect effect (.16).