• 지역과문화
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• v.7 no.2
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• pp.173-202
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• 2020

This study aims to enhance the family-friendliness of the region by examining the relationship between family relations and the community environment, and objectively comparing the local environment surrounding the family. To this end, we reviewed the areas of socio-cultural and economic sectors that affect the family relationship satisfaction, and in particular, analyzed the trend of changes in regional index by utilizing the Korean Family Happiness Composite Index (KFHCI) developed as a community indicators. This index utilizes community indicators published in the National Statistical Portal's "e-Region indicators," and these variables are related to family relationship satisfaction. Therefore, this study compared the seven areas of the Family Happiness Composite Index (Population Family, Health Culture, Education, Income Consumption, Employment Labor, Housing Transportation, Environment and Social Integration) by region, and examined the trends for 10 years. According to the study, the average score of KFHCI's entire region was rising from 2008 to 2018. Overall, the community environment that affects family relationship satisfaction is also improving. The regions belonging to the upper level were Jeonnam, Gangwon, Chungnam, Jeonbuk, and Gyeongbuk. Areas belonging to the lower level are Seoul, Busan, Daegu, Incheon, and Gwangju. In almost sectors, the lower-level regions did not have sufficient physical infrastructure compared to population density and over-density, and improved little by little, but not enough to reflect the needs of local people and improve the quality of life. In the future, we should develop more regular and complementary indicators to develop customized policies for each region that can improve the quality of family relationships. It will also be necessary to study the impact of each index field when a socioeconomic crisis occurs due to social disasters, and try to change indicators

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.95-112
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• 2021

In university education, the choice of major class plays an important role in students' careers. However, in line with the changes in the industry, the fields of major subjects by department are diversifying and increasing in number in university education. As a result, students have difficulty to choose and take classes according to their career paths. In general, students choose classes based on experiences such as choices of peers or advice from seniors. This has the advantage of being able to take into account the general situation, but it does not reflect individual tendencies and considerations of existing courses, and has a problem that leads to information inequality that is shared only among specific students. In addition, as non-face-to-face classes have recently been conducted and exchanges between students have decreased, even experience-based decisions have not been made as well. Therefore, this study proposes a recommendation system model that can recommend college major classes suitable for individual characteristics based on data rather than experience. The recommendation system recommends information and content (music, movies, books, images, etc.) that a specific user may be interested in. It is already widely used in services where it is important to consider individual tendencies such as YouTube and Facebook, and you can experience it familiarly in providing personalized services in content services such as over-the-top media services (OTT). Classes are also a kind of content consumption in terms of selecting classes suitable for individuals from a set content list. However, unlike other content consumption, it is characterized by a large influence of selection results. For example, in the case of music and movies, it is usually consumed once and the time required to consume content is short. Therefore, the importance of each item is relatively low, and there is no deep concern in selecting. Major classes usually have a long consumption time because they have to be taken for one semester, and each item has a high importance and requires greater caution in choice because it affects many things such as career and graduation requirements depending on the composition of the selected classes. Depending on the unique characteristics of these major classes, the recommendation system in the education field supports decision-making that reflects individual characteristics that are meaningful and cannot be reflected in experience-based decision-making, even though it has a relatively small number of item ranges. This study aims to realize personalized education and enhance students' educational satisfaction by presenting a recommendation model for university major class. In the model study, class history data of undergraduate students at University from 2015 to 2017 were used, and students and their major names were used as metadata. The class history data is implicit feedback data that only indicates whether content is consumed, not reflecting preferences for classes. Therefore, when we derive embedding vectors that characterize students and classes, their expressive power is low. With these issues in mind, this study proposes a Net-NeuMF model that generates vectors of students, classes through network analysis and utilizes them as input values of the model. The model was based on the structure of NeuMF using one-hot vectors, a representative model using data with implicit feedback. The input vectors of the model are generated to represent the characteristic of students and classes through network analysis. To generate a vector representing a student, each student is set to a node and the edge is designed to connect with a weight if the two students take the same class. Similarly, to generate a vector representing the class, each class was set as a node, and the edge connected if any students had taken the classes in common. Thus, we utilize Node2Vec, a representation learning methodology that quantifies the characteristics of each node. For the evaluation of the model, we used four indicators that are mainly utilized by recommendation systems, and experiments were conducted on three different dimensions to analyze the impact of embedding dimensions on the model. The results show better performance on evaluation metrics regardless of dimension than when using one-hot vectors in existing NeuMF structures. Thus, this work contributes to a network of students (users) and classes (items) to increase expressiveness over existing one-hot embeddings, to match the characteristics of each structure that constitutes the model, and to show better performance on various kinds of evaluation metrics compared to existing methodologies.

• Journal of Nutrition and Health
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• v.51 no.6
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• pp.580-589
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• 2018

Purpose: The purpose of this study was to evaluate the food insecurity status and dietary behavior and examine the association between the food insecurity status and consumption of processed beverage for secondary school students in Vientiane, capital city of Lao PDR. Methods: The study subjects are 714 students (boys = 307 and girls = 407) in four secondary schools (Chao_Anouvong, Phiavat, Saysetha, and Chansavang) of Vientiane, Lao PDR. Data on study subject's demographic characteristics, dietary behavior, food insecurity, and Mini Dietary Assessment (MDA) index were collected. A "Self-Administered Food Security Survey Module for Children Aged 12 Years and Older" developed by the United States Department of Agriculture (USDA) was used for the food insecurity assessment. Results: As a result, 72.7% of the subjects were in a state of food insecurity, and food security was associated with higher socioeconomic status (higher life satisfaction, higher parent's education attainment, higher item ownership, fewer number of siblings, and having more lunches at the school restaurant than at home). Compared to the food insecurity group, the frequency of breakfast, self-rated diet, and the total score of MDA index were higher in the food security group. On the other hand, multiple logistic regression analysis showed that 'food security' was also associated with a higher consumption of processed beverages (OR 1.544; 95% CI 1.078-2.213; p = 0.018). Conclusion: Improving the quality of the diet is essential for adolescents in both the food insecurity and food security groups in Lao PDR. Therefore, it is necessary to provide well organized nutrition education and establish adequate nutrition policy for adolescents in Lao PDR.

• Journal of the Korean Society of Food Science and Nutrition
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• v.46 no.11
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• pp.1397-1407
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• 2017

The aim of a school attendance policy (SAP) is to ensure breakfast time for school-aged adolescents. Therefore, this study investigated the effects of SAP on dietary behavior, particularly breakfast consumption, among adolescent middle school students (n=426) in the Ansan area of Gyeonggi-do. After implementation of the SAP, the response rates for eating breakfast every-day among boys (P>0.05) and girls (P<0.05) slightly increased by 44.6% and 35.8%, respectively, compared to before the SAP. Further, the degree of satisfaction with breakfast increased among both boys ('satisfied' and 'strongly satisfied'; 32.4% and 21.6%, respectively) (P<0.01) and girls ('satisfied' and 'strongly satisfied'; 32.8% and 14.2%, respectively) (P<0.001) compared to before the SAP. Moreover, boys (56.8%) and girls (53.9%) were aware that the SAP increased breakfast-eating frequency. Increases in deep sleep as a result of the SAP were high in both boys (39.2%) and girls (47.1%), and sleeping hours among boys (P<0.05) and girls (P<0.01) increased compared to before the SAP. The respondents were aware of the positive effects on physical function such as reduction of physical fatigue (boys 40.1%, girls 38.2%) and improvement of physical health (boys 36.5%, girls 32.8%). Thus, systematic and sustained political support at the national level is required to encourage healthy breakfast eating and physical activity in middle school students.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.179-200
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• 2019

Word-of-mouth (WoM) is defined by consumer activities that share information concerning consumption. WoM activities have long been recognized as important in corporate marketing processes and have received much attention, especially in the marketing field. Recently, according to the development of the Internet, the way in which people exchange information in online news and online communities has been expanded, and WoM is diversified in terms of word of mouth, score, rating, and liking. Social media makes online users easy access to information and online WoM is considered a key source of information. Although various studies on WoM have been preceded by this phenomenon, there is no meta-analysis study that comprehensively analyzes them. This study proposed a method to extract major researches by applying text mining techniques and to grasp the main issues of researches in order to find the trend of WoM research using scholarly big data. To this end, a total of 4389 documents were collected by the keyword 'Word-of-mouth' from 1941 to 2018 in Scopus (www.scopus.com), a citation database, and the data were refined through preprocessing such as English morphological analysis, stopwords removal, and noun extraction. To carry out this study, we adopted main path analysis (MPA) and word co-occurrence network analysis. MPA detects key researches and is used to track the development trajectory of academic field, and presents the research trend from a macro perspective. For this, we constructed a citation network based on the collected data. The node means a document and the link means a citation relation in citation network. We then detected the key-route main path by applying SPC (Search Path Count) weights. As a result, the main path composed of 30 documents extracted from a citation network. The main path was able to confirm the change of the academic area which was developing along with the change of the times reflecting the industrial change such as various industrial groups. The results of MPA revealed that WoM research was distinguished by five periods: (1) establishment of aspects and critical elements of WoM, (2) relationship analysis between WoM variables, (3) beginning of researches of online WoM, (4) relationship analysis between WoM and purchase, and (5) broadening of topics. It was found that changes within the industry was reflected in the results such as online development and social media. Very recent studies showed that the topics and approaches related WoM were being diversified to circumstantial changes. However, the results showed that even though WoM was used in diverse fields, the main stream of the researches of WoM from the start to the end, was related to marketing and figuring out the influential factors that proliferate WoM. By applying word co-occurrence network analysis, the research trend is presented from a microscopic point of view. Word co-occurrence network was constructed to analyze the relationship between keywords and social network analysis (SNA) was utilized. We divided the data into three periods to investigate the periodic changes and trends in discussion of WoM. SNA showed that Period 1 (1941~2008) consisted of clusters regarding relationship, source, and consumers. Period 2 (2009~2013) contained clusters of satisfaction, community, social networks, review, and internet. Clusters of period 3 (2014~2018) involved satisfaction, medium, review, and interview. The periodic changes of clusters showed transition from offline to online WoM. Media of WoM have become an important factor in spreading the words. This study conducted a quantitative meta-analysis based on scholarly big data regarding WoM. The main contribution of this study is that it provides a micro perspective on the research trend of WoM as well as the macro perspective. The limitation of this study is that the citation network constructed in this study is a network based on the direct citation relation of the collected documents for MPA.

• Journal of Global Scholars of Marketing Science
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• v.20 no.1
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• pp.59-69
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• 2010

Green or an environmental consciousness has been a major issue for businesses and government offices, as well as consumers, worldwide. In response to this movement, the Korean government announced, in the early 2000s, the era of "Green Growth" as a way to encourage green-related business activities. The Korean fashion industry, in various levels of involvement, presents diverse eco-friendly products as a part of the green movement. These apparel products include organic products and recycled clothing. For these companies to be successful, they need information about who are the consumers who consider green issues (e.g., environmental sustainability) as part of their personal values when making a decision for product purchase, use, and disposal. These consumers can be considered as eco-sumers. Previous studies have examined consumers' purchase intention for or with eco-friendly products. In addition, studies have examined influential factors used to identify the eco-sumers or green consumers. However, limited attention was paid to eco-sumers' disposal or recycling behavior of clothes in comparison with their green product purchases. Clothing disposal behaviors are ways that consumer can get rid of unused clothing and in clue temporarily lending the item or permanently eliminating the item by "handing down" (e.g., giving it to a younger sibling), donating, exchanging, selling, or simply throwing it away. Accordingly, examining purchasing behaviors of eco-friendly fashion items in conjunction with clothing disposal behaviors should improve understanding of a consumer's clothing consumption behavior from the environmental perspective. The purpose of this exploratory study is to provide descriptive information about Korean eco-sumers who have ecologically-favorable lifestyles and behaviors when buying and disposing of clothes. The objectives of this study are to (a) categorize Koreans on the basis of clothing disposal behaviors; (b) investigate the differences in demographics, lifestyles, and clothing consumption values among segments; and (c) compare the purchase intention of eco-friendly fashion items and influential factors among segments. A self-administered questionnaire was developed based on previous studies. The questionnaire included 10 items of clothing disposal behavior, 22 items of LOHAS (Lifestyles of Health and Sustainability) characteristics, and 19 items of consumption values, measured by five-point Likert-type scales. In addition, the purchase intention of two eco-friendly fashion items and 11 attributes of each item were measured by seven-point Likert type scales. Two polyester fleece pullovers, made from fabric created from recycled bottles with the PET identification code, were selected from one Korean brand and one US imported brand among outdoor sportswear brands. A brief description of each product with a color picture was provided in the survey. Demographic variables (i.e., gender, age, marital status, education level, income, occupation) were also included. The data were collected through a professional web survey agency during May 2009. A total of 600 final usable questionnaires were analyzed. The age of respondents ranged from 20 to 49 years old with a mean age of 34 years. Fifty percent of the respondents were males and about 58% were married, and 62% reported having earned university degrees. Principal components factor analysis with varimax rotation was used to identify the underlying dimensions of the clothing disposal behavior scale, and three factors were generated (i.e., reselling behavior, donating behavior, non-recycling behavior). To categorize the respondents on the basis of clothing disposal behaviors, k-mean cluster analysis was used, and three segments were obtained. These consumer segments were labeled as 'Resale Group', 'Donation Group', and 'Non-Recycling Group.' The classification results indicated approximately 98 percent of the original cases were correctly classified. With respect to demographic characteristics among the three segments, significant differences were found in gender, marital status, occupation, and age. LOHAS characteristics were reduced into the following five factors: self-satisfaction, family orientation, health concern, environmental concern, and voluntary service. Significant differences were found in the LOHAS factors among the three clusters. Resale Group and Donation Group showed a similar predisposition to LOHAS issues while the Non-Recycling Group presented the lowest mean scores on the LOHAS factors compared to the other segments. The Resale and Donation Groups described themselves as enjoying or being satisfied with their lives and spending spare-time with family. In addition, these two groups cared about health and organic foods, and tried to conserve energy and resources. Principal components factor analysis generated clothing consumption values into the following three factors: personal values, social value, and practical value. The ANOVA test with the factors showed differences primarily between the Resale Group and the other two groups. The Resale Group was more concerned about personal value and social value than the other segments. In contrast, the Non-Recycling Group presented the higher level of social value than did Donation Group. In a comparison of the intention to purchase eco-friendly products, the Resale Group showed the highest mean score on intent to purchase Product A. On the other hand, the Donation Group presented the highest intention to purchase for Product B among segments. In addition, the mean scores indicated that the Korean product (Product B) was more preferable for purchase than the U.S. product (Product A). Stepwise regression analysis was used to identify the influence of product attributes on the purchase intention of eco product. With respect to Product A, design, price and contribution to environmental preservation were significant to predict purchase intention for the Resale Group, while price and compatibility with my image factors were significant for the Donation Group. For the Non-Recycling Group, design, price compatibility with the factors of my image, participation to eco campaign, and contribution to environmental preservation were significant. Price appropriateness was significant for each of the three clusters. With respect to Product B, design, price and compatibility with my image factors were important, but different attributes were associated significantly with purchase intention for each of the three groups. The influence of LOHAS characteristics and clothing consumption values on intention to purchase Products A and B were also examined. The LOHAS factor of health concern and the personal value factor were significant in the relationships with the purchase intention; however, the explanatory powers were low in the three segments. Findings showed that each group as classified by clothing disposal behaviors showed differences in the attributes of a product, personal values, and the LOHAS characteristics that influenced their purchase intention of eco-friendly products. Findings would enable organizations to understand eco-friendly behavior and to design appropriate strategic decisions to appeal eco-sumers.

• Journal of Korean Home Economics Education Association
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• v.22 no.3
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• pp.37-54
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• 2010

In this work, we investigated the images of (unmarried) single women as seen from the viewpoint of married men and women. In-depth interviews were conducted with twenty-seven (married) men and women of ages from twenties to sixties. By carrying out a content-analysis on the interview results, we could extract three different thematic types of images on single women, which are (1) single women seeking some outlet of their passion instead of forming a family, (2) single women who are enjoying a life of unbound liberty, unlike married men and women, and (3) single women who have distinct personalities from married men and women. Each of these three thematic types could be further classified into narrower themes of specific images. From the first theme of single women who are looking for some outlet of their passion instead of forming a family, one could extract two specific image types in which the single women choose their work as the main outlet of their passion, or else they choose self-development. From the second theme of single women who are leading a life of unbound liberty, four different specific types were found, which are single women with sexual freedom, single women enjoying liberty from the bondage of a family, single women who can freely choose men to go out with, single women who have privileges to enjoy consumption and leisure life only for themselves. From the third theme of single women who have distinct personalities from married men and women, four different types of images were found, that are single women who want to avoid the hard reality of marriage life, single women who are selfish and self-assertive and leading a life that is self-centered or one that is centered around communities of only singles, single women who have secret feelings of emptiness and loneliness, and finally single women who can not find satisfaction in their life style. The images of married men and women on (unmarried) single women are based on the perception that 'those single women are different from us because they are not married'. That is, married men and women look upon the life of single women from the perspective of marriage life that they are experiencing.

• Journal of Society of Preventive Korean Medicine
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• v.19 no.1
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• pp.95-107
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• 2015

Objective : To use and its affecting factors of patients' outpatient treatment that have single and multiple chronic illnesses Method : We used the 2011 study by the Ministry of Health and Welfare, "Report on Usage and Consumption of Korean Medicine." This report was conducted on outpatients and inpatients that visited Korean traditional medicine, from August 25th, 2011, to September 30th, 2011. Our research was based on 1729 patients with chronic diseases aged 30 and over who received outpatient treatment during the last three months. Results : There were 1365 patients with non-complex chronic diseases, while there were 364 patients with complex chronis diseases. Patients had 1 - 8 chronic diseases, and the average number (standard deviation) was 1.26 (0.59). There were statistically significant differences by sex(P<0.0001), age(p=0.0045), marriage (p=0.0060), education level(p<0.0001), income level(P=0.0063), and types of health insurance(p=0.0023). The diseases most common among patients with non-complex chronic diseases were: low back pain, arthritis, gastrointestinal disorder, frozen shoulder, side effects from motor accidents, high blood pressure, fracture, stroke, diabetes, cancer, atopic dermatitis, and asthma. The diseases most common among patients with non-complex chronic diseases were: arthritis+low back pain, low back pain+gastrointestinal disorder, low back pain+side effects from motor accidents, low back pain+frozen shoulder, arthritis+gastrointestinal disease, gastrointestinal disease+frozen shoulder, arthritis+low back pain+gastrointestinal disease, high blood pressure+arthritis, arthritis+low back pain+frozen shoulder, arthritis+fracture, and arthritis+side effects from motor accidents. There were statistically significant differences among the usage of medical clinics by: frequently used clinic (p<0.0001), number of treatment (p<0.0001), the cost of outpatient treatment (p=0.0073), the satisfaction rate (p=0.0171), whether the clinic is the preferred clinic (p=0.0040). In model 1, men than women, people who had local benefits instead of type 1 medical aid, and patients with complex chronic diseases were more likely to use Korean medical clinics. In model 2, men than women, people who had local benefits than people with types 1 and 2 medical aids, people who went to pharmacies and Korean medicine pharmacies than people who went to hospitals, people who went to get treatment 1-10 times than people who visited 11-20 times and more than 41 times, and people who spent less than ten thousand Korean won than people who spent 1 to 2 million Korean won, and people without complex chronic diseases were more likely to use Korean medical treatment. Conclusion : There were differences in sociodemographic characteristics and the usage of medical clinics between patients with non-complex chronic diseases and patients with complex chronic diseases. Among patients with complex chronic diseases, women, patients with types 1 and 2 medical aid, patients who used Korean medical clinics, patients who were treated 11-20 times and more than 41 times, and patients who spent 1 million to 2 million Korean won on outpatient treatment used less treatment than patients with non-complex chronic diseases. However, patients with complex chronic diseases used pharmacies and Korean medicine pharmacies more.