• Korean Journal of Occupational Health Nursing
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• v.9 no.1
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• pp.62-71
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• 2000

In order to investigate the social support and the job satisfaction of the public health nurse, questionnaire survey was carried out on 297 nurses who were working in 25 public health centers in Seoul. The results of the study were as follows; 1. Mean score of job satisfaction was the highest in interaction(3.55) followed by-professional position(3.46), relationship between nurses and doctors(3.23), autonomy(2.85), administration(2.60), requirements(2.43) and pay(2.30) in descending order, and total mean score was 2.92. 2. The level of the job satisfaction was significantly higher in group with longer than 20 years' career and 15 years' in Public Health Center, 5th job rank and income more than two million won a month. 3. The mean score of social support was 3.57 out of 5. The social support tended to be higher in direct social support(3.61) than in indirect social support(3.54). 4. Job satisfaction was significantly correlated with social support(r=0.407). 5. The primary factor which influenced the job satisfaction was the social support which had the 25.5% explaining efficacy. The total explaining efficacy which included pay(6.4%) was 31.0%. In conclusion, it was found out that there existed Pearson's correlation between the job satisfaction and the social support of nurses of Public Health Centers in Seoul. Therefore, what is needed to increase the job satisfaction of nurses of public Health Centers is the politic support for the systems of the social support such as nurse's family, the system of Public Health Center, and the working environment. Finally it is important to increase the job satisfaction of nurses of Public Health Centers through the politic support.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.167-176
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• 2021

With development of big data analysis technology, many studies to find social issues using texts mining techniques have been conducted. In order to derive social issues, previous studies performed in a way that collects a large amount of text data from news or SNS, and then analyzes issues based on text mining techniques such as topic modeling and terms network analysis. Social issues are the results of various social phenomena and factors. However, since previous studies focused on deriving social issues that are results of various causes, there are limitations to revealing the cause of the issues. In order to effectively respond to social issues, it is necessary not only to derive social issues, but also to be able to identify the causes of social issues. In this study, in order to overcome these limitations, we proposed a method of deriving the factors that cause social issues from texts related to social issues based on the theory of part of Korean linguistics. To do this, we collected news data related to social issues for three years from 2017 to 2019 and proposed a methodology to find causes based causal sentences based on text mining techniques.

• Korean Journal of Culture and Social Issue
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• v.14 no.1
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• pp.1-18
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• 2008

The present study was to investigate the developmental change of adolescent's theory of mind. In addition, the relations between theory of mind and the social competence were investigated. Sixty students in each the 6th and 8th grade group were participated in this study. Adolescents' understanding of mind were measured by four kinds of mindreading tasks; the second-order false belief tasks, understanding the ambiguous social behaviors tasks, understading the hidden meaning of a figurative statement tasks, and the "faux pas" tasks. Social skills were measured by social skill scales. Eighth graders performed better than the 6th graders on the understanding the ambiguous social behaviors tasks and faux pas tasks but not on the second-order false belief tasks and understanding the hidden meaning of figurative statement tasks. The results suggests that the mindreading ability continues to develop during the adolescence, especially the ability to interpret others' ambiguous social behaviors by reading their mental states and the ability to understand that a person says a faux pas it is due to a mistaken belief. In addition, the understanding the ambiguous social behaviors tasks was found to be the best task to predict social behaviors. The results suggests that the mindreading ability would be a significant explanatory factor on social competence.

• Journal of Korea Technology Innovation Society
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• v.3 no.2
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• pp.33-47
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• 2000

We focus on the investigations of the effect of social networks on the diffusion of innovations, in order to successfully bring innovations into markets. We begin with consideration of social system from Rogers(1995)' perspective, which includes the fifty-year sequential tradition of diffusion studies, and expand the conceptualization into a framework for thinking about the effect of social networks on the diffusion of innovations. We draw upon basic ideas from the research traditions of social network theory in sociology, and social identity theory in social psychology. Finally, we offer propositions for the future empirical researches. A better understanding of social networks can complement research on the diffusion of innovations and help in the development of a universal model of consumer response to innovations.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.3
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• pp.71-86
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• 2013

This research explores the question how interactions between customer and firm affect firm growth. To test suggested hypotheses, this study collects data on social commerce industry in Korea during the period from the beginning of social commerce industry in Korea, May 2010, to March 2012, and investigates the effect of social media on the growth of social commerce firms. We suggest two hypotheses in this study. First, as web traffic inflow through social media into a focal social commerce increases, the growth rate of the focal social commerce increases. Second, the more diverse social media channel through which web traffic inflows into a focal social commerce, the weaker the positive effect of web traffic inflow on the growth rate of the focal social commerce. Analysis of data shows that inflow through social media is positively related to the growth of social commerce. In addition, our analysis shows that inflow channel diversity weakens the positive relationship between web traffic inflow through social media and growth rate of social commerce firms. These results suggest that firms need to concentrate on few social media in order to attract customers. The study contributes to understanding how interaction between firms and customers influences the growth of the firm.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.11
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• pp.1322-1332
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• 2011

This study investigates the influence of social desirability to questionnaire response and data analysis in order to identify the need for social desirability control in clothing consumer research. A questionnaire measuring social desirability, social face sensitivity, clothing shopping behavior, and demographic characteristics was developed. Responses of 234 respondents were analyzed using factor analysis, simple regression analysis, hierarchical regression analysis, descriptive analysis, and Cronbach's alpha analysis. The results were as follow. First, respondents were influenced by social desirability when they responded to items measuring other-conscious social face. Second, the result of regression analysis (that the independent variable was social formality) was less influenced by social desirability control because the influence of social desirability to social formality was insignificant. Conversely, the result of regression analysis (that the independent variable was other-conscious social face) was more influenced by social desirability control because the influence of social desirability to other-conscious social face was significant. This study is an initial study that notices the need for social desirability control in clothing consumer research.

• Journal of Korean Society of Rural Planning
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• v.25 no.4
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• pp.151-159
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• 2019

The aim of this paper is to identify the characteristics of social economy in social farming practices, and to explore three core factors of experiment, openness and locality, which have a significant impact on the working-mechanism of social innovation. Though a few social farming practice appear nowadays in Korea, it can be witnessed social economic factors such as cooperation between networks and solidarity actors, pursuing social values in social farming. On the basis of the conceptual framework on the social economy characteristics, this study examines case analysis in order to find the possibilities as a social innovation of the social farming. Three farms perform multiple functions of care, labour integration, training in farming area, and sometimes make collaboration work with artists and local residents. Social farming can be social innovation practices in the view of the interaction of experiments, openness and locality within the context of an innovation process, networking, enhancing social capital.

• Journal of the Korean Home Economics Association
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• v.40 no.2
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• pp.143-159
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• 2002

Consumer Education Policy for -Focusing on developing Social support System- The purpose of this research is to understand the change of future consuming environment and the characteristics of future potential consumer: the net generations. With those research results, we deduced our goal, content and method of consumer education for these net generations. Finally, I suggested a scheme of the social construction by demand of our future society. Literature review and depth interview are used for this research. The main factors of the change of our future consuming environment are Digitalization, globalization, improvement of consumer sovereignty, Sustainable consumption culture, the increasing pursuit of safe life. It is necessary to educate our future consumer, net generations, the information searching skills in order to be able to obtain right information. We also need to educate them how to practice the safe life and Sustainable consumption and how to get consumers sovereignty. The method of the education requires interchangeable communication. We need social networking system for the support of consumer education, in order to build this social system. We need an administrative support from the government and financial support from corporations. We have suggested that it is very desirable to share all the information developed among Academic field, Consumer related organizations and schools by this network be build.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.149-169
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• 2015

This study tried to find out how to overcome multicollinearity problems in the structural equation model by creating a hierarchical construct model about the repurchase intention of social commerce. This study selected, as independent variables, price, quality, service, and social influence, based on literature review about social commerce, and then, as detailed variables of independent variables, selected system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norms, and reputation. As results of empirical analysis about hierarchical construct model, all the independent variables were accepted having a significant impact on repurchase intention of social commerce. Next, this study analyzed the competition model that eight independent variables of price, system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norm, and reputation directly influence the repurchase intention of social commerce. As results of empirical analysis, system quality, information quality, transaction safety, communication appeared to be insignificant. This study showed that hierarchical construct model is useful to overcome the multicollinearity problem in structural equational model and to increase explanatory power.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.113-120
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• 2016

People use social media platforms such as Twitter to leave traces of their personal thoughts and opinions. In other words, social media platforms retain the emotions of the people as it is, and accurately understanding the emotions of the people through social media will be used as a significant index for disaster management. In this research, emotion type modeling method and emotional quotient quantification method will be proposed to understand the emotions present in social media platforms. Emotion types are primarily analyzed based on 3 major emotions of affirmation, caution, and observation. Then, in order to understand the public's emotional progress according to the progress of disaster or accident and government response in detail, negative emotions are broken down into anxiety, seriousness, sadness, and complaint to enhance the analysis. Ultimately, positive emotions are further broken down into 3 more emotions, and Russell emotion model was used as a reference to develop a model of 8 primary emotions in order to acquire an overall understanding of the public's emotions. Then, the emotional quotient of each emotion was quantified. Based on the results, overall emotional status of the public is monitored, and in the event of a disaster, the public's emotional fluctuation rate could be quantitatively observed.