• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.35-45
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• 2018

Users are sharing many of contents such as text, image, video, and so on in SNS. There are various information as like as personal interesting, opinion, and relationship in social media contents. Therefore, many of recommendation systems or search systems are being developed through analysis of social media contents. In order to extract subject-related topics of social context being collected from social media channels in developing those system, it is necessary to develop ontologies for semantic analysis. However, it is difficult to develop formal ontology because social media contents have the characteristics of non-formal data. Therefore, we develop a social topic system based on semantic and subject correlation. First of all, an extracting system of social topic based on semantic relationship analyzes semantic correlation and then extracts topics expressing semantic information of corresponding social context. Because the possibility of developing formal ontology expressing fully semantic information of various areas is limited, we develop a self-extensible architecture of ontology for semantic correlation. And then, a classifier of social contents and feed back classifies equivalent subject's social contents and feedbacks for extracting social topics according semantic correlation. The result of analyzing social contents and feedbacks extracts subject keyword, and index by measuring the degree of association based on social topic's semantic correlation. Deep Learning is applied into the process of indexing for improving accuracy and performance of mapping analysis of subject's extracting and semantic correlation. We expect that proposed system provides customized contents for users as well as optimized searching results because of analyzing semantic and subject correlation.

• Journal of Fashion Business
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• v.20 no.1
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• pp.17-34
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• 2016

This research is a construct to understand CSR and pro-social consumption behavior of fashion consumers which classifies CSR efforts of fashion company and conducts positive analysis of the relationship between such characteristics and social relationship behaviors(sharing of values, consciousness of kind, consciousness of future expectation) and pro-social consumption behavior. For this path analysis was conducted utilizing a sample of 430 consumers who have experience of CSR efforts of fashion brands. The result is as follows. First, as a result of the path relationship among CSR efforts & sharing of values of fashion brands, consciousness of kind and consciousness of future expectation, economic efforts, relational efforts and cyclical efforts meaningfully affected sharing of values, whereas creative efforts did not. Also, relational and creative efforts meaningfully affected consciousness of kind, whereas economic and cyclical efforts did not. Furthermore, economic, relational and cyclical efforts meaningfully affected consciousness of future expectation, when creative efforts failed. Second, as a result of the analysis of path relationship among sharing of values, consciousness of kind, consciousness of future expectation and pro-social consumption behavior of social relationships, sharing of values had a meaningful impact on consciousness of kind, consciousness of future expectation and pro-social consumption behavior. And finally consciousness of kind and future expectation showed meaningful influence on pro-social consumption behavior.

• The Research Journal of the Costume Culture
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• v.23 no.6
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• pp.1061-1081
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• 2015

Recently, there has been an increase in wellbeing marketing, which focuses on increasing consumer life satisfaction or consumers' sense of subjective wellbeing. Numerous studies have been conducted to identify which aspects contribute to consumer life satisfaction. In order to provide additional insights into consumer life satisfaction, this study aimed to identify the relationships among social psychological variables (consciousness of social face, social interaction anxiety, and career anxiety), shopping confidence, and life satisfaction. Shopping confidence in this study relates to confidence for clothing/accessories. It was hypothesized that social psychological variables influence life satisfaction not only directly but also indirectly through shopping confidence. Data were gathered by surveying university students in Seoul, using convenience sampling. Two hundred eighty six questionnaires were used in the statistical analysis. Factor analysis of consciousness of social face revealed two factors, 'desire to gain face' and 'fear of losing face'. Factor analysis of social interaction anxiety, shopping confidence, and life satisfaction revealed that these variables were uni-dimensional. Test of the hypothesized path showed that all social psychological variables influenced life satisfaction indirectly through shopping confidence, whereas 'fear of losing face' of consciousness of social face and career anxiety influenced life satisfaction directly. The results give marketers some understanding of their consumers' life satisfaction in relation to consciousness of social face, social interaction anxiety, career anxiety, and shopping confidence.

• The Journal of Information Systems
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• v.21 no.1
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• pp.93-116
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• 2012

Internet users' desire to share shopping experiences has resulted in the appearance of the paradigm shift called social commerce, which combines social media with commerce. However, while foreign market realizes social commerce in a various way, current domestic social commerce market still seems to be highly filled with social shopping sites offering 50 percent discount, thus causing concerns about market distortion from a cutthroat competition. In order to overcome the limitations of social commerce remaining in the early stage, and to enhance the communication among consumers, this study conducted an empirical study on the social-commerce business models design based on context. The results of the study brought the imaginary, optimal combination model by conjoint analysis, using the segmented group through cluster analysis. To overcome the uniformity of social commerce and to enhance communication among consumers, the context-based optimal combination model should be proposed as the alternative social commerce business model in the domestic market which remains as a simple group-purchase function. Furthermore, this study will be used as an informative reference designing customer oriented service model for social commerce business.

• Asia-Pacific Journal of Business
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• v.9 no.3
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• pp.51-69
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• 2018

This study intends to investigate the management efficiency of social enterprises according to types based on the portion of the budget for employing disadvantaged social groups, in the region of Gyeonggi-do. Based on the performance list disclosed at Korea Social Enterprise Promotion Agency's website, 126 social enterprises certified during a period of five years from 2013 to 2017, 126 enterprises were analyzed by using data envelopment analysis (DEA) models comparing five types of the enterprises. The types was mainly identified by the job security of disadvantaged social groups. As for measurement variables, the input components included average wage, support fund, and the number of non-vulnerable employees and the number of vulnerable employees, sales, and net income were selected as output variables. In conclusion, the efficiency of Gyeonggi-do social enterprises decreased every year, and thus it is urgent to improve their efficiency, and priority should be given to the employment of vulnerable social groups, which both the job opportunity providing-type and the social service providing-type showed the highest performance.

• Journal of Families and Better Life
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• v.13 no.4
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• pp.55-70
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• 1995

The purpose of this study were to develop 「The Inventory of Children's Social Support」 to investigate the sex difference of the perceived social support and social support satisfaction level and to identify the relation between children's social support system and children's social competence. The subjects were 213 5th, 6th children and their 6 teachers of elementary school at Kwang Ju. The data were analyized by frequency percentile factor analysis t-test and canonical correlation analysis, The results were as follows ; 1) The reliability and validity of 「The Inventory of Children's Social Support」was confirmed. 2) Sex difference of perceived social support and social support satisfaction level were partially found 3) There were significant relations between social support system and social competence of children. In conclusion children's social support system can be recognized as significant variable in predicting the social competence of children.

• Journal of Families and Better Life
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• v.35 no.1
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• pp.107-124
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• 2017

Consumer citizenship is essential for better market and economy, and social capital plays an important role for raising consumer citizenship. This study explored the types of social capital developed on social media, and investigated the relationship between consumer citizenship of college students and social capital. Using data from 263 undergraduate students currently using social media, K-mean cluster analysis, one-way ANOVA, Duncan's multiple range test, chi-squared test, and multiple regression analysis were conducted. The major results were as follows. First, four types of social capital on social media were identified: mediocre social capital, instrumental-centered social capital, weak social capital, and strong social capital. Second, socio-demographic characteristics variables such as gender and work experience showed significant difference by type of social capital through social media. In addition, the most used social media and time for using social media variables showed significant difference by type of social capital through social media. Third, controlling for socio-demographic characteristics and social media usage pattern, the types of social capital had a significant effect on consumer citizenship. Based on the results, the implications for consumer education to develop consumer citizenship were suggested.

• Journal of KIBIM
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• v.6 no.2
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• pp.19-28
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• 2016

Social costs analysis seeks to reveal the environmental effects of transportation policy. It delivers a sense of the effects of the public's daily travel and the costs that are or would be incurred from individual trips. Moreover, the accumulated total number of trips will uncover the effects of travel on society. This article shows the quantitative analysis of the economic outcomes of travel using social costs estimation methods. In order to support urban planning tasks, this research implemented analysis tool for social costs estimation by travel behavior. For a case study, a jave based application which can convert people's trip data into social costs is developed. the application used for simulating student-housing effects by estimating social costs changes. The analysis included the attributes, building scale and locational changes of the student housing as well as transforms of the students' trips.

• Korean Journal of Organic Agriculture
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• v.29 no.1
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• pp.41-50
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• 2021

This paper analyzes the efficiency of social enterprises by analyzing bootstrapping data envelopment analysis. Unlike the definitive DEA model, we analyze the confidence intervals of efficiency estimates through the DEA model, which takes into account stochastic factors. Major analysis results are summarized as follows: First, the results of the bootstrapping DEA analysis of social enterprises estimated that the technical efficiency was 0.459 and the 95% confidence interval was 0.389 to 0.601. Second, the number of inefficient social enterprises with efficiency values of less than 0.5 was found to be 15 (55.56%) in technical efficiency, 5 (18.52%) in pure technical efficiency, and 8 (29.63%) in scale efficiency. It can be seen that a significant number of social enterprises are operating in an inefficient state. Third, looking at the returns of scale of social enterprises, 25 (67.57%) are currently in the increasing returns of scale, 10 (27.02%) are in the constant returns of scale, and 2 (5.41%) are in decreasing returns of scale. In other words, it can be seen that social enterprises are under-invested in terms of input factors.

• The Korean Journal of Community Living Science
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• v.16 no.2
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• pp.75-91
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• 2005

The purpose of this study was to examine the relationship between parenting stress, social support and the social development of preschool children in rural areas. The subject included 114 preschool children, along with their mothers, selected from kindergartens and day care centers in rural areas. The instruments included the parenting stress index, social support inventory and the social maturity scale. The statistics used from this data were t-test, one-way ANOYA(Scheffe test), correlation analysis and multiple regression analysis. This study showed that maternal parenting stress was influenced significantly by the related variables; gender of child, birth order of child, age of mother, educational attainment of mother, family income, religion, family type. And also, social support was influenced significantly by the above variables. The child's social development was influenced significantly by the variables that related child and the family. Correlation analysis indicated that parenting stress and social development of the child were relatively negative high correlation coefficients. And social support and social development of the child were relatively positive high correlation coefficients. The important factors on predicting social development of the child were found to be birth order of child, age of mother, educational attainment of mother, family income, religion, family type, daily stress, stress of difficult child, stress of parent-child dysfunctional interaction, educational distress, husband support, and other support. Especially stress of difficult child and husband support were important variables that predicted the social development of the preschool children.