• Journal of Industrial Convergence
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• v.18 no.6
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• pp.129-138
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• 2020

The purpose of this study was to identify the relationship between professional self-concept, sense of ethics and performance of protecting patient privacy of nurses in the hospital. The subjects are 196 nurses who have been working in general hospitals in K province in Korea and the data collection period was from June 1 to July 5 in 2018. As a result, The score of each variables were like this: professional self-concept 2.62, sense of ethics 2.93 and performance of protecting patient privacy 3.69. It was confirmed that the factors which affect to the performance of protecting patient privacy are ethical awareness and professional self-concept of the nurses. and these explained 30% of that performance. Therefore, it need to develop and adapt the education programs to improve the sense of ethics and professional self-concept of nurses which can help them to increase their performance of protecting patient privacy and to add, we suggest that there need a mandatory system for nurses to receive conservative education about the practice of protecting patient privacy.

• The Journal of Society for e-Business Studies
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• v.11 no.2
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• pp.49-69
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• 2006

The virtual community has been recognized as an effective marketing tool and has been an important motive of using internet to Internet users, but very few attempts have been done for the development of virtual community success. Although many studies have been made on influencing factors of virtual community success, the comprehensive studies have never been done so far. Therefore, this study focused on developing the comprehensive model and verifying empirically. This study proposed five influencing factors(Virtual Community Operational factor, Characteristics of Users, Usefulness, Trust, Commitment) that affect virtual community success and three success factors(Sense of Virtual Community, Loyalty, Purchasing Intention) by carrying out literature review extensively and suggesting the relationship among factors. The relationship among factors were empirically validated by structural equation modeling. The data used in this study were collected from 292 users of the existing virtual communities. As the result of statistical analysis. It was found that Virtual Community Operational Factor and Characteristics of Users statistically significantly influenced Virtual Community Success. Also, it was shown that the intervening effects of Usefulness, Trust and Commitment were statistically significant, but that the relationship between commitment and Loyalty was not statistically significant. Finally, it turned out that the causality among success variables of Virtual Community was supported, but that sense of Virtual Community was required to be measured by new measurements.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.208-218
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• 2017

Objective: This study examined the caregiver burden, depressive symptoms, and mental-related quality of life of 226 caregivers of stroke patients, who had been hospitalized in 7 general hospitals located in Cheongju and Daejeon Metropolitan city. Methods: Data were collected from August 5, 2014 to October 5, 2014 and a structured self-administered questionnaire was used. The results were analyzed using a t-test, ANOVA for different comparisons of the mental related quality of life in the sociodemographic characteristics, care-related characteristics, health-related behavioral characteristics, caregiver burden, and depressive symptoms. Hierarchical multiple regression was conducted to determine the explanatory power of the independent variables on the dependent variables, with the variables showing significant differences in univariate analysis as independent variables. Results: According to the results of hierarchical multiple regression analysis, the relevant factors that influenced the mental-related quality of life were the relationship with a patient, burden by 'care', burden by sacrifice of 'personal life', and depressive symptoms. Conclusion: To enhance health-related quality of life, not only is a systematic complement on such factors needed, but the development and implementation of an intervention program to the caregiver burden and depressive symptoms is also urgently required.

• Fire Science and Engineering
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• v.28 no.3
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• pp.80-86
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• 2014

Based on 2009 Korea Health Panel, this study investigated socio-economic and clinical characteristics associated with emergency medical transport use, and analyzed a simple predictive model of emergency medical transport use. Analysis results were summarized as follows: First, emergency medical transports such as 119 ambulance were more used than private cars, taxis, or walk-in. Second, between a user group and a non-user group of emergency medical transports, there were statistically significant differences in age, the level of education, family composition, house type, household income, the relationship with the head of household, insurance types, the presence of handicap, the presence of chronic disease, reasons to emergency medical service use, and treatment after emergency medical service completed. Third, age, household income, the presence of handicap, reasons to emergency medical service use, and treatment after emergency medical service completed were statistically significant predictors associated with emergency medical transports use. To improve emergency medical service system, the characteristics and predictors associated with emergency medical transports are more concerned.

• Journal of Korean Society of Transportation
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• v.32 no.5
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• pp.544-553
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• 2014

Activity-based models analyze individuals' various daily activities that are identified as a decision-making unit for transportation planning. In other words, it is the model that determines the types of activities according to the social, economic and situational characteristics of the groups with the same activity patterns and predicts individuals' activity time, distance, spatial movement and transportation mode. The activity-based model is a method of estimating more efficient and realistic demand in transportation forecasting because traffic is regarded as a complex decision-making process that an individual and other people participate in. In this paper, we grasp the factors affecting choice behavior of activity pattern and analyze choice behavior of activity pattern based on multi-dimensional characteristic of each person. First, we classify activity types of reviewing the trip chain and activity purpose. Next, we identified preferable activity types using complicated characteristics of main agent of activity. We concluded that choice behavior of activity pattern is dependent on complex characteristics of each agent, and further multi-dimensional characteristics of each person are affected over the whole decision process of activity schedule.

• Information Systems Review
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• v.23 no.1
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• pp.69-91
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• 2021

Credit Bureaus in Korea commonly use financial transaction information of the past and present time for calculating an individual's credit scores. Compared to other rating factors, the repayment history information accounts for a larger weights on credit scores. Accordingly, despite full redemption of overdue payments, late payment history is reflected negatively for the assessment of credit scores for certain period of the time. An individual with debt delinquency can be classified into two groups; (1) the individuals who have faithfully paid off theirs overdue debts(Normal Repayment), and (2) those who have not and as differences of creditworthiness between these two groups do exist, it needs to grant relatively higher credit scores to the former individuals with normal repayment. This study is designed to analyze the factors of normal repayment of Korean financial debt delinquents based on credit information of personal loan, overdue payments, redemption from Korea Credit Information Services. As a result of the analysis, the number of overdue and the type of personal loan and delinquency were identified as significant variables affecting normal repayment and among applied methodologies, neural network models suggested the highest classification accuracy. The findings of this study are expected to improve the performance of individual credit scoring model by identifying the factors affecting normal repayment of a financial debt delinquent.

• The Korean Journal of Financial Management
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• v.18 no.1
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• pp.43-66
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• 2001

본 연구는 투자자 집단에 따라 그 매매에 있어서 주가와의 관련성을 분석하고자 하였다. 투자자 집단의 매매 성향은 월별 순매매율로 측정하였으며 주가의 대용변수는 한국종합주가지수(KOSPI)의 월별 수익률로서 분석에 사용된 기간은 1992년 1월부터 1999년 12월까지이다. 분석을 위한 방법론으로 상관분석과 회귀분석을 이용하였다. 상관분석은 스피어만 순위상관분석을 이용하여 KOSPI와 각 투자자 집단의 순매매 비중의 상관계수를 도출하였으며 그 결과 KOSPI와 개인투자자의 순매매와는 음의 유의적 상관관계를, KOSPI와 외국인 투자자의 순매매율과는 양(+)의 유의적 상관관계를 알 수 있었다. 그러나 기관투자자의 경우 기관투자자 전체 범주로 볼 때 유의적 상관관계가 없었으나 세분화된 기관투자자 일부는 유의적 상관관계를 보였다. 또한 본 연구는 KOSPI와 각 투자자 집단의 매매에 대한 인과관계를 추론한 바 외국인 투자자의 매매는 KOSPI에 영향을 주며 개인투자자의 매매는 오히려 KOSPI에 영향을 받는 것으로 보였다. 그러나 기관투자자의 경우 세부기관마다 그 매매의 성격을 달리하는 것으로 보였다. 이러한 분석결과를 바탕으로 회귀분석을 실시하였으며 그 분석결과 외국인 투자자와 기관투자가 가운데 증권사와 투신사의 경우, 순매수가 늘어날수록 주가는 상승하고 순매도가 늘어날수록 주가는 하락하는 것을 확인할 수 있었으며 반면 개인투자자의 매매는 KOSPI 주가에 따라 영향을 받는 것으로 나타났다. 즉 주가가 상승할수록 매도에 치중하고 주가가 하락할수록 매수에 치중하는 것으로 분석되었다. 기관투자자 가운데 보험사의 매매 역시 주가에 영향을 받는 것으로 나타났다. 본 연구의 성과로는 특정 투자자 집단이 주가의 움직임에 따라 매매를 하는 수동적 전략의 의미보다는 적극적으로 주가를 움직이는 주체로서 외국인투자자와 일부 기관투자자의 존재를 확인할 수 있었다는 점이며, 주가 움직임에 따른 개인투자자와 일부 기관 투자자의 수동적 매매 스타일과 기관투자자 사이의 투자스타일의 이질성을 통계적으로 확인할 수 있었다는 데에 있다.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.341-349
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• 2020

The purpose of this study was conducted to explain the intention of use of IoT (internet of things) healthcare service for elderly using TAM (Technology Acceptance Model). The exogenous variables were professional support, personalization, interaction, and convenience, The endogenous variables were usefulness and intention. Data were collected from 220 elderly residents aged 65 over in welfare center and were analyzed using structural equation modeling using AMOS 25.0. The result of this study showed that professional support and personalization did not significantly difference perceived usefulness, and there were significant differences interaction, and convenience. Futhermore, perceived usefulness influence intention of use of IoT healthcare service for elderly. IoT health care service for elderly is affected by perceived usefulness. This study systematically verified the elderly's intention of using IoT-based smart healthcare services. The result of this study would be able to be used as basic data for preparing strategies to enhance their intention to use the services.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.559-573
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• 2019

The purpose of this study is to investigate factors affecting turnover intentions of rehabilitation specialists by using data on the "improvement of labor conditions and human rights of rehabilitation Specialist" which was conducted both in 2016 and in 2017. The turnover intention of the rehabilitation specialists was analyzed with personal factors, job-related factors, and factors related with client violence, discrimination, and burnout. Among these factors, variables of wage satisfaction, job satisfaction, and client violence have statistically significant effect on the turnover intention of rehabilitation specialists. While the variables of wage satisfaction and job satisfaction are likely to decrease the turnover intention of rehabilitation specialists, the variable of client violence significantly increase the turnover intention of rehabilitation specialists. The results of this analysis implies that the labor conditions including salary, the work environment for the rehabilitation specialists, and client education should be improved and strengthened to decrease the turnover intention of the rehabilitation specialists.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.662-675
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• 2021

In order to evaluate the effectiveness of the Jeollabuk-do social welfare errand center, this study focused on identifying the effects of users' personal characteristics and workers' job environment characteristics on user satisfaction. The data analyzed are survey data collected from users and workers at 11 social welfare errand centers in each city and county in Jeollabuk-do. In the detailed analysis, the first-level independent variable for the users' personal characteristics, the second-level independent variable for the worker's job environment characteristics, and the user satisfaction were set as the dependent variables, and then a hierarchical linear model analysis model was applied. As a result of the analysis, it was confirmed that households with disabilities, sense of job value, job stress, role overload, and salary satisfaction had a significant effect on the service satisfaction of users. The results of this analysis show that the characteristics of the job environment of the workers have a major effect on the satisfaction of service users. This suggests that there is a strong need for improvement in the fields.