• Journal of the Korean Society of Clothing and Textiles
• /
• v.13 no.1 s.29
• /
• pp.1-12
• /
• 1989

The purpose of this study was to examine the effect of basic needs and demographic variables of adult women upon clothing values. This study was designed with causal model regrading the demographic variables as independent variable: the basic need as interventing variable: the eight clothing values as dependent variables. The major findings of this research can be summarized as following; 1. Age of women has a definite effect on marriage status, school career and income. Age has effect on marriage status in seven values except exploratory value. It has effect on school career in aethetic and political values, and it has also effect on school career and income in social and religious values. 2. Age has no significant direct effect on the basic needs. Marriage status and school career have significant direct effect on the basic needs. Marriage status has positive effect on the need for self-esteem in seven values except exploratory value. The need for self-esteem of unmarried women are stronger than that of married women. School career has negative impact on the need for safety. The women having higher school career do not have strong need for safety in aethetic and social values. 3. School career, income, needs for safety, belongingness, self-esteem and self-actualizing have significant direct effect on clothing values. School career has positive effect on aethetic and political values, and it has negative effect on religious values. Income has negative effect upon social and religious values. Need for safety has negative effect on aethetic values. Need for safety is positively related with need for belongingneses, and they have an effect on the social values. Need for self-esteem has positive effect on the aethetic and political values, and it has negative impact on theoretical, economic, social and religious values. Need for self-actualizing has positive effect on the theoretical values.

• Hwankyungkyoyuk
• /
• v.10 no.2
• /
• pp.51-62
• /
• 1997

The objective of this study was to review the meaning and problems of Scientific Knowledge and Ethical Value in Environmental Education. The ultimate goal of environmental education is shaping proenvironmental human behavior. The factors of human behavioral decision making are ideology, value, attitude and behavioral intentions. Ideology is a kind of belief system used by social groups to interpret their social world. The main elements of belief system are knowledge and value. The traditional thinking in education has been that we can change behavior by making human beings more knowledgeable and more valuable. In environmental education, the aim of scientific inquiry is to analysis cause-effect relation of human beings behavior and environmental phenomenon, and ethical education is to change the mind of human beings from zero-sum to positive-sum about the relations between human beings and natural environments. But, there are many problems of knowledge education and value education in environmental education. For example scientific knowledge without ethical value is dangerous to environment protection, and ethical value without scientific knowledge is vague. Therefore, we must recognize that the relationship of ethical value and scientific knowledge is not substitutional but complementary. The teaching-learning methods which can integrate knowledge and value in environmental education are rational decision making model. For this model, we can construct teaching contents with inquiry materials. To earn the benefits of specialization among several subjects in environmental education, social studies can focus on social science knowledge and decision making, science education can focus on pure natural science knowledge and scientific investigation, moral education can focus on problems of ethical value system, home economics can focus on practical action and environmental education(Environments in middle school, Ecology and Environments in high school) can integrate social-national science knowledge and ethical value in broad perspective about human beings and ecosystem. That is the method to protect from law of diminishing marginal utility of learning in environmental education.

• Journal of Family Resource Management and Policy Review
• /
• v.15 no.3
• /
• pp.63-81
• /
• 2011

This study examined social integration policies for multi-cultural families in Korea and the United States through a literature review and internet research. Because the United States has developed and maintained its own culture, this was an appropriate country to compare to Korea in terms of social integration policy. There were four main results. First, both countries enforce assimilation policies for multi-cultural families. Second, most social integration programs and services for multi-cultural families in Korea are carried out by the Multi-cultural Family Support Centers, which are supported by the national and local governments in Korea. However, because the U.S. government has preserved a laissez-faire approach to policies for immigrant families, there are no government-based support centers for multi-cultural families in the United States. Third, both countries focus on the assimilation of multi-cultural families. Nevertheless, the U.S. government promotes a balance between ethnic identity and U.S. citizenship. Fourth, the U.S. government strongly supports second-generation education and development programs that recognize the second generation as a human resource for the future of society. In summary, even though there were some cultural differences between the two countries, the United States' assimilation policies based on ethnic identity would be useful for Korean integration policies. In addition, it is very important to offer opportunities for mutual integration in everyday life between Korean families and multi-cultural families.

• Journal of Digital Convergence
• /
• v.18 no.2
• /
• pp.367-376
• /
• 2020

According to recent statistics on new consumer market trends, 'alone consumption' is at the center. This study focuses on the social big data that attracts the public's opinions in that it is important for a certain social trend to comprehensively understand the various fields such as society, locality, culture, marketing, economics, and psychology that form the background for it. Therefore, we set up the linkage of 'solo consumption' and conducted research on new consumer market trends using Opinion Analisys. As a result of this trend analysis, representative keywords such as 'honbab', 'honsul' and 'honyoeng' were derived and analyzed the trend of new consumer market using this data. Alone consumption is an inevitable new consumption trend caused by demographic change after the global economic crisis. The importance as a trend reflecting this will be further strengthened. Trend analysis by social big data will help scientific and systematic business distribution strategies and planning to help make new and valuable decisions and decisions about new consumer markets.

• Journal of Technology Innovation
• /
• v.18 no.1
• /
• pp.1-20
• /
• 2010

Firm’s social network has been known as an important firm strategy because it could promote technological innovation and also minimize economic uncertainty. In this study, we identify four types of firm’s social network activities such as Collaboration, Manufacturing/Marketing/Distribution Agreements, Financing, and M&A, and analyze how these activities affect firm performance using U.S biotechnology firm data. We found that Manufacturing/Marketing/Distribution Agreements increased firm performance in short-run. Also, collaboration with pharmaceutical and biotechnology firms had a positive effect on firm performance, too. However, collaboration with public institutes or universities had a negative effect on firm performance in short run, which implies its collaboration would be mainly focused on research in pure science area. These empirical results provide two policy implications. First, social network strategy should be encouraged in the Korean biotechnology industry. Secondly, governments should consider developing polices that support collaboration of biotechnology with public institutes or universities, to promote technological innovation.

• Journal of Digital Convergence
• /
• v.12 no.10
• /
• pp.243-252
• /
• 2014

Many researches about the effect on politics, economics and Sociocultural phenomenon using the social media are in progress. Authors utilized NAVER Trend most famous web browsing service in korea, NAVER Blog social media, NAVER Cafe service and Open Data(API) and also used temperature, humidity index data of Korea Meteorological Administration. This study analyzed a change of the public's emotion in korea using Cluster analysis of vocabulary of taste among its of feelings and senses. K-means clustering was followed by decision of the number of groups which was used Chi-square goodness of fit test and ward analysis. Eight groups was made and it represented sensitive vocabulary. By Discriminant analysis, eight groups decided by Cluster analysis has 98.9% accuracy. The change of the public's emotion has capability to predict people's activity so they can share sensibility and a bond of sympathy developed between them.

• Journal of the Korean Society for Library and Information Science
• /
• v.50 no.1
• /
• pp.189-207
• /
• 2016

Sharing and reutilizing of research data could not only enhance efficiency and transparency of research process, but also create new science through data integrating and reinterpretationing. Diverse policies about research data sharing and reutilizing have been developing, along with extending of research evaluating spectrum that across research data citation rate to social impact of research output. This study analyzed the scale and citation number of research data which has not been analyzed before in korea through data citation index using Kruskal-Wallis H analysis. As result, genetics and biotechnology are identified as subject areas which have most huge number of research data, however the subject areas that have been highly cited are identified as economics and social study such as, demographic and employment. And Uk Data Archive, Inter-university Consortium for Political and Social Research are analyzed as data repositories which have most highly cited research data. And the data study which describes methodology of data survey, type and so on shows high citation rate than other data type. In the result of altmetrics of research data, data study of social science shows relatively high impact than other areas.

• Human Ecology Research
• /
• v.58 no.4
• /
• pp.601-611
• /
• 2020

This study examined the effects of negative parenting attitudes on adolescents' academic helplessness through the mediating effects of social withdrawal and smartphone dependency. Data from the panel study of Korean Children and Youth Panel Survey 2018 (KCYPS 2018) collected by the National Youth Policy Institute (NYPI) was used to examine the research model. The subjects of the study consisted of 2,541 first grade middle school students (1,375 boys and 1,166 girls). Confirmatory factor analysis [CFA], structural equation modeling [SEM], and bootstrapping analysis were conducted by means of SPSS 25.0, AMOS 25.0, and Hayes's PROCESS programs to examine the serial multiple mediating effects. The study results were as follows. First, negative parenting attitude had a direct effect on adolescents' academic helplessness. This implies that adolescents who perceive their parents' attitudes to be high in coercive, rejective, and chaotic levels indicate that they can easily get exhausted in academic settings. Second, negative parenting attitudes had an indirect effect on adolescents' academic helplessness through social withdrawal and smartphone dependency. The results suggest that a high level of negative parenting attitude leads to higher social withdrawal and smartphone dependency that influences adolescents' academic helplessness.

• Human Ecology Research
• /
• v.58 no.4
• /
• pp.539-560
• /
• 2020

This study presents work-family multiple-role planning by female university students as a new approach to worklife balance. Accordingly, this study examines university years as a key time frame during which students establish their career paths. This study integrates the social cognitive career theory and the planned behavior theory to design and evaluate a model that explains the work-family multiple-role planning process; in addition, it develops an optimal model to predict the intentions of female university students in work-family multiple-role planning. This study has conducted a structural survey with 500 female university students. After inspecting the data, the responses of 435 participants were used in the data analysis (SEM) with SPSS 21.0 and AMOS 21.0. The findings include the following. First, suitability of predictive model presents a satisfying fit. The major factors in this study's model (parental support, subjective norms, attitudes toward multiple-role planning, career decision self-efficacy, and outcome expectations) are verified as direct and indirect predictors of the work-family multiple-role planning intent of female university students. Second, the strongest predictive factor for the work-family multiple-role planning intent is the social environment factor (subjective norms), indicating that the influence of social pressure on intent is relatively large. The predictive model formulated under this study's integrated theoretical framework supplements existing research that focused on attitudes toward multiple-role planning as well as provides a more profound theoretical foundation on which work-family multiple-role planning behaviors can be better understood.

• Human Ecology Research
• /
• v.58 no.4
• /
• pp.613-633
• /
• 2020

This study identifies consumers' perceived benefits and costs when using Samsung Health (a healthcare app) based on consumer reviews from Google Play Store's app and social media discourse. We examine the differences in the benefits and the costs of Samsung Health using these two sources of data. We conducted text frequency analysis, clustering analysis, and semantic network analysis using R programming. The major findings are as follows. First, consumers experience benefits and costs on several functions of the app, such as step counting, device interlocking, information acquisition, and competition with global consumers. Second, the results of semantic network analysis showed that there were eight benefit factors and three cost factors. We also found that the three costs correspond to the benefits, indicating that some consumers gained benefits from certain functions while others gained costs from the same functions. Third, the comparison between consumer app review and social media discourse showed that the former is appropriate to assess the performance of app functions, while the latter is appropriate to examine how the app is used in daily life and how consumers feel about it. The current study suggests managerial implications to healthcare app service providers regarding what they should strengthen and improve to enhance consumers' satisfaction. It also suggests some implications from the two media, which can be mutually complementary, for researchers who study consumer opinions.