• Knowledge Management Research
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• v.18 no.3
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• pp.181-199
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• 2017

Recently, the Fintech industry is growing rapidly, and mobile payment service plays a key role in this growth. The purpose of this study is to investigate factors affecting initial acceptance of mobile payment service using Technology Acceptance Model. In the research model, service-related factors such as economic efficiency and security, user-related factors such as user innovativeness and social factors such as social influence were adopted as external variables, and acceptance intention was introduced as dependent variable. Perceived usefulness and perceived ease of use were selected as mediating variables. The collected data were analyzed using SPSS Statistics v22 and Smart PLS 2.0. The results of the study are as follows. First, service-related factors such as economic efficiency and security did not affect the user acceptance intention. Second, individual innovativeness and social influence have significant effects on perceived usefulness and perceived ease of use respectively. And the perceived usefulness and perceived ease of use, which are mediators, have a significant influence on the acceptance intention of mobile payment service. The results of this study will serve as a useful guide for Fintech industries.

• Korean Journal of Occupational Health Nursing
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• v.28 no.4
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• pp.242-252
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• 2019

Purpose: This study aimed to identify factors influencing depressive symptoms in public and private sector employees. Methods: Survey data on 23,602 workers who had worked in the public or private sector were obtained from the 2014 Korean Working Condition Survey (KWCS). Symptoms of depression were measured using the WHO-5 Well-being Index. Data were analyzed using a $x^2$ test, t-test, and multivariate stepwise logistic regression to determine the factors affecting the symptoms of depression. Results: First, the prevalence of depressive symptoms was 41.1 % in public sector employees and 43.4 % in private sector employees. Second, the factors commonly affecting depressive symptoms in public and private sector employees were residence area, cognitive demands, development opportunities, social support from colleagues, social support from supervisors, social community at work, job rewards, and work-family conflict. In addition, age, company size, atypical work, ergonomic risks, quantitative demands, emotional demands, influence, and job insecurity were found to be predictors of depressive symptoms unique to private sector employees. Conclusion: Mental health programs including the employee assistance program (EAP) should be developed and implemented after considering the risk factors affecting depressive symptoms.

• Environmental Analysis Health and Toxicology
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• v.31
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• pp.18.1-18.8
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• 2016

Objectives This study aimed to evaluate the risk factors associated with depression and suicidal ideation in a rural population. Methods A survey was conducted with 543 farmers from Chungcheongnam-do Province using the Center for Epidemiologic Studies Depression Scale (CES-D) for depression, Lubben Social Network Scale (LSNS) for social support, Swedish Q16 for neurotoxicity symptoms and a survey tool for farmer's syndrome. Results After adjusting for socioeconomic factors using logistic regression analysis, poor self-rated health, low social support and neurotoxicity were positively associated with the risk of depression (odds ratio [OR], 15.96; 95% confidence interval [CI], 3.11 to 81.97; OR, 3.14; 95% CI, 1.26 to 7.82; and OR, 3.68; 95% CI, 1.08 to 12.57, respectively). The risk of suicidal ideation significantly increased with low social support, neurotoxicity and farmer's syndrome (OR, 2.28; 95% CI, 1.18 to 4.40; OR, 6.17; 95% CI, 2.85 to 13.34; and OR, 3.70; 95% CI, 1.51 to 9.07, respectively). Conclusions Given the overall results of this study, there is a need to establish programs which can improve the health and social relationships of farmers. Also, when farmers have neurological symptoms from pesticide exposure and characteristic symptoms of farmer's syndrome, a monitoring system for depression and suicide must be made available.

• The Journal of Bigdata
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• v.1 no.2
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• pp.35-44
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• 2016

Today there is a fierce competition between social commerce and multi-channel distribution in korea and it is need to do comparative analysis about success factors between social commerce and multi-channel distribution. Unlike the other studies that have only used survey method, this study analyzed the success factors between social commerce and multichannel distribution using text mining techniques. We expect that the result of the study not only gives the practical implication for making the competition strategy of the retailers but also contributes to the diverse extension research.

• Journal of muscle and joint health
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• v.19 no.2
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• pp.161-172
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• 2012

Purpose: This study was to identify the factors influencing depression among patients with degenerative arthritis after total knee arthroplasty. Methods: The subjects were 108 patients who admitted or visited K hospital in K city after total knee arthroplasty. Data were analyzed using SPSS WIN 18.0 program. Results: The level of depression was 2.72 with a possible range of 1 to 5. Social support was 3.71 out of a total score 5. Self-efficacy was 64.47 ranged from 10 to 100. Self-esteem was 2.59 ranged from 1 to 5. The associated factors with depression were marital status, length of illness, perceived health status, pain, social support, self-efficacy, and self-esteem. Marital status, length of illness, and perceived health status accounted for 5.8% of depression. Next, all variables including pain, social support, self-efficacy and self-esteem accounted for 66.4% of depression. Conclusion: The level of depression among the subjects significantly be related to marital status, length of illness, perceived health status, pain, social support, self-efficacy and self-esteem. It indicates a need to develop nursing interventions for them to decrease depression and develop quality of life during recovery.

• Journal of Korean Public Health Nursing
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• v.28 no.3
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• pp.509-521
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• 2014

Purpose: This study was conducted in order to define factors influencing learned helplessness in undergraduates. Independent variables including external entrapment, internal entrapment, social support, trait anger, state anger, and anger expression were used to predict learned helplessness. Methods: Data were analyzed using the SPSS/WIN 20.0 program for descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. A total of 241 undergraduates recruited from September to November 2012 were included in the study. Results: Four factors of learned helplessness were founded to show significant correlation with external entrapment, internal entrapment, social support, trait anger, state anger and anger expression. Stepwise multiple regression analysis showed that 64% of the variance in learned helplessness was significantly accounted for by internal entrapment, social support and anger expression. Conclusion: This study showed that perceived entrapment and social support are important predictors of learned helplessness. Therefore, in order to reduce learned helplessness in undergraduates, it is necessary to design an intervention program with strategies to help in coping with and reducing perceived entrapments.

• Journal of Korean Academy of Nursing
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• v.47 no.1
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• pp.39-48
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• 2017

Purpose: The purpose of this study was to verify the relationships among social support, resilience and post traumatic stress disorder (PTSD), and especially to identify factors influencing PTSD in police crime scene investigators. Methods: A cross-sectional design was used, with a convenience sample of 226 police crime scene investigators from 7 Metropolitan Police Agencies. Data were collected through self-report questionnaires during July and August, 2015. Data were analyzed using t-test, ${\chi}^2$-test, Fisher's exact test, and binary logistic regression analysis with SPSS/WIN 21.0 program. Results: The mean score for PTSD in police crime scene investigators was 13.69 .11 points. Of the crime scene investigators 181 (80.1%) were in the low-risk group and 45 (19.9%) in high-risk group. Social support (t=5.68, p<.001) and resilience (t=5.47, p<.001) were higher in the low-risk group compared to the high-risk group. Logistic regression analysis showed that resilience (OR=4.74, 95% CI: 1.57~14.35), and social support (OR=2.13, 95% CI: 1.23~3.69) are effect factors for PTSD low group. Conclusion: For effective improvement of PTSD in police crime scene investigators, intervention programs including social support and strategies to increase should be established.

• Journal of Agricultural Extension & Community Development
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• v.16 no.1
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• pp.153-180
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• 2009

The previous researches about knowledge sharing were proceeded in terms of KMS (Knowledge Management System) in center. However, knowledge sharing is recently applied to Internet space, which is open to every users, as well as KMS, which is qualified for restricted people. For example, some portal sites, such as Naver, the most popular portal in Korea, have virtual spaces to share users' knowledges and it is common that many users use the spaces. Knowledge sharing online, compared with KMS, will be more advanced to promote intention for knowledge sharing because of the character of Internet space that is open to all users. Nevertheless, there are few researches about knowledge sharing in the Internet. Considering this situation, this study is attempted to figure out the factors to promote Internet knowledge sharing, based on social capital theory and self-expression concept. A survey of experienced Internet user and PLS (Partial Least Square) were utilized for analysis. The test of this study reveals that social capital and self-expression are significant factors to influence knowledge sharing intention, and that also personal innovation and self-efficacy are significantly related to the self-expression. However, personal innovation does not have significant impact on social capital. According to the result, self-expression, as well as trust and system itself, has significantly effect on knowledge sharing intention in order to promote knowledge sharing in the Internet.

• East Asian mathematical journal
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• v.34 no.3
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• pp.317-330
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• 2018

We develop a mathematical model for the obesity dynamics to investigate the long term obesity trend with the consideration of psychological and social factors due to the increasing prevalence of obesity around the world. Many mathematical models for obesity dynamics adopted the modeling idea of infectious disease and treated overweight and obese people infectious and spreading obesity to normal weight. However, this modeling idea is not proper in obesity modeling because obesity is not an infectious disease. In fact, weight gain and loss are related to social interactions among different weight groups not only in the direction from overweight/obese to normal weight but also the other way around. Thus, we consider these aspects in our model and implement personal weight gain feature, a psychological factor such as body image dissatisfaction, and social interactions such as positive support on weight loss and negative criticism on weight status from various weight groups. We show that the equilibrium point with no normal weight population will be unstable and that an equilibrium point with positive normal weight population should have all other components positive. We conduct computer simulations on Korean demography data with our model and demonstrate the long term obesity trend of Korean male as an example of the use of our model.

• The Korean Journal of Health Service Management
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• v.8 no.4
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• pp.231-241
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• 2014

The purpose of this study was to identify the factors affecting the spiritual well-being of mentally disabled residents of institutions. The data were collected from July 1 to 25 in 2014. Data were collected by questionnaire from 145 mentally disabled residents of institutions. The instruments for this study were social support, self-esteem, depression, insight, spiritual well-being. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple linear regression with the SPSS/WIN 18.0 program. According to results, the degree of social support, self-esteem, insight and spiritual well-being was higher than and depression was lower. The significant factors influencing spiritual well-being were depression (${\beta}=-.32$, p<.001), insight (${\beta}=-.21$, p=.003), social support (${\beta}=-.21$, p=.006) and self-esteem (${\beta}=-.18$, p=.047). The study reveals that it is necessary to develop a program that decreases depression and increases insight, social support and self-esteem.