• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.416-424
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• 2011

This study aimed to look into the Korean food consumption behavior, satisfaction, and loyalty between segmented groups through Korean food market segmentation in accordance with brand personality. A survey was conducted to the Japanese residing in Korea and also Japanese tourists in Korea. For the statistic analysis, frequency analysis, factor analysis, anova, $x^2$ and cluster analysis were conducted with Hangul SPSSWIN 19.0. The results of an empirical analysis include the following. First, the brand personality of Korean food was deduced into the following five levels: sincerity, ruggedness, competence, sophistication, and excitement. As a result of stereotyping based on the above, it was classified into three groups involving an excitement pursuing group (18.7%), a sophistication pursuing group (59.7%), and a competence sincerity pursuing group (21.6%). Second, it was found that there was a significant difference in the demographic characteristics and Korean food consumption behavior between segmented groups. Third, there was a significant difference also in satisfaction with and loyalty to Korean food between segmented groups. Specifically, competence and sincerity pursuing groups were discovered to exhibit the highest satisfaction and loyalty when compared with any other of the groups. Accordingly, it would be necessary to conduct a Korean food marketing strategy appropriate for each segmented group.

• Journal of Distribution Science
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• v.11 no.10
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• pp.107-116
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• 2013

Purpose - Eggs are nutritionally complete and one of the most popular natural foods. Moreover, the poultry industry is one of the important food industries. However, early industrialization of the poultry industry on its own did not lead to further development compared to other livestock industries. In this study, we investigate what factors influence consumers' behavior and how consumers' understanding of retail business affects their propensity to consume. This study is different from other studies as it analyzes how the brand names of manufacturers and distribution companies affect the purchasing characteristics or actual purchase behavior of consumers in order to suggest how these manufacturers and distribution companies can increase their competitiveness. Research design, data, methodology - This study conducted a survey of 250 randomly selected egg purchasers in discount stores from January to April 2013. Consumers' purchase tendencies were calculated through frequency analysis. This result was then utilized using cluster analysis to draw a conclusion about which purchase tendency influenced consumers buying three different brands of eggs or whether this tendency really affected consumers. As a result, the outcomes of Hypotheses 2 and 3 were not clear so we drew a conclusion with our analysis of Hypothesis 1. Results - While the outcomes of Hypotheses 2 and 3 did not clearly indicate whether purchasing tendencies affected consumers when buying eggs, our analysis of Hypothesis 1 indicated that consumers were affected by the quality of the eggs rather than exterior factors such as the brand name. Thus, we concluded that it is important to promote the excellence of the quality of the eggs. Usually firms buy eggs from farms and repackage them in order to sell them. In this sense, if consumers were aware of this egg production process, and eggs were fairly distributed to retailers, large retail PB businesses would also be able to enhance their competitiveness. Conclusions - The brand, packaging, retail outlet, and other external features influenced the purchase of eggs to a certain degree, while shelf life, grade of the eggs, cleanliness, and other intrinsic characteristics had more influence. In particular, shelf life was the most important factor influencing purchase. Consumers were influenced not only by intrinsic characteristics of the eggs but also by large-scale producers' brands. Consumers relied upon the brand despite reduced competition because they found it difficult to identify shelf life and/or cleanliness. Small businesses and/or large-scale retailers can remain competitive by maintaining the freshness and cleanliness of the eggs. Further studies need to investigate areas in which consumers' cognition of the product is poor and/or the purchase inclination with regard to less developed industries such as eggs. In this study, the greatest problem was that consumers did not consume in accordance with the current situation as consumers have preferred fresh and clean eggs for a long time compared to purchase decisions based on external brands and/or packaging.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.30 no.5
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• pp.771-781
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• 1997

In order to select an effective and appropriate evaluation method for the marine environmental protection and management, it is necessary to evaluate the present status of environmental conditions and to monitor and regulate the harzadous waste continuously. Among the evaluation methods that use benthic fauna, some graphical methods and biological index methods such as species abundance-biomass (SAB), Rank-frequency diagram (RFD), Abundance-Biomass comparison (ABC), log-normal distribution (LND), and Benthic Pollution Index (BPI) modified by Infaunal Trophic Index were used for the assessments of marine environment in the Inchon coastal area. Even though the graphic methods are convenient for easy glimpse of general trend of environmental condition but because they require sufficient ecological data, those methods do not fit for analysis or comparison of regional and detailed environmental condition. On the other hand, when BPI was applied, it was able to compare the spatial benthic conditions. Through considering the functional aspects of benthic fauna which can not be obtained in the cluster analysis, BPI was made it possible to measure or trace down the source of pollution. In the case of the environmental assessment result analyzed in Inchon coastal area, the north eastern part of Yongjongdo was more influenced by the pollution than the outer area of Inchon. The research indicates that especially Inchon harbor has been greatly affected.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.277-284
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• 2020

Text mining is a representative method of big data analysis that extracts meaningful information from unstructured and large amounts of text data. Social media such as Twitter generates hundreds of thousands of data per second and acts as a one-person media that instantly and directly expresses public opinions and ideas. The traditional media are delivering informations, criticizing society, and forming public opinions. For this, we compare the responses of SNS with the responses of media on the issue of the termination of the Korea-Japan GSOMIA (General Security of Military Information Agreement), one of the domestic issues in the second half of 2019. Data collected from 201,728 tweets and 20,698 newspaper articles were analyzed by sentiment analysis, association keyword analysis, and cluster analysis. As a result, SNS tends to respond positively to this issue, and the media tends to react negatively. In association keyword analysis, SNS shows positive views on domestic issues such as "destruction, decision, we," while the media shows negative views on external issues such as "disappointment, regret, concern". SNS is faster and more powerful than media when studying or creating social trends and opinions, rather than the function of information delivery. This can complement the role of the media that reflects public perception.

• Journal of Korean Society of Transportation
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• v.35 no.5
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• pp.396-408
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• 2017

In Korea, the number of elderly has been increasing rapidly. So it is also expected that the economic activity and the trip frequency of the elderly will increase. On the other hand, elderly related accidents such as falls during walking are steadily increasing and the satisfaction about pedestrian environment of elderly is very low. In this paper, we found one of the reasons for these dissatisfaction in pedestrian facility, which is not considering the walking ability (about 75% of non-elderly person) of the elderly. So, we analyze the kinematic walking characteristics of the elderly with the motion analysis system, when the elderly use stairs. As a result of analysis of various walking variables, the current standard for stairway height in Korean law (18cm) requires excessive force to elderly so it was difficult for elderly to keep the balance of the body in ascending and descending walk of stairs. In this paper, we propose the stair design criteria through the cluster analysis of walking parameters reflecting the gait characteristics of the elderly. This change is not a big for non-elderly person, but it can promote more socioeconomic activities for the elderly.

• Korean Journal of Community Nutrition
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• v.12 no.3
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• pp.352-360
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• 2007

Several nutrients are known to affect bone mineral density (BMD). However, these nutrients are combined with food intake and dietary patterns and little is known about the association of dietary patterns and BMD. The objective of this study was to investigate the association of dietary patterns with BMD in Korea Genome Epidemiology Study subjects. Among 2,884 women (40-69 yr) recruited at baseline study (2001), 861 subjects with BMD measurements at baseline and a 4-year follow up study (2005) completed the semi-quantitative food frequency questionnaire. BMD was measured by the Quantitative Ultrasound method. One hundred three food items were combined into 17 food groups and 4 dietary patterns were identified by factor analysis. Cluster analysis using factor score classified each subject into one of three dietary pattern groups named 'Rice and kimchi eating' (n = 617), 'Contented eating' (n = 124), and 'Healthy and light eating' (n = 120). The 'Healthy and light eating' group, characterized by higher intake of fruit, vegetables, fish, milk and dairy products, and younger age, more exercise, higher education, and higher income than other groups. The tibia BMD of the 'Healthy and light eating' group was higher than the other groups after adjusting for the age. After the adjustment for the age BMI and exercise, the 'Healthy and light eating' group showed significantly lower odds of tibia osteopenia/osteoporosis risk compared to the 'Rice and kimchi eating' group both at the baseline [OR(95% CI) : 0.50(0.30-0.84)] and follow-up [OR(95% CI) : 0.59(0.36-0.97)] examinations. The dietary pattern with low calorie and high intakes of fruit, vegetables, fish, milk and dairy products may have beneficial effects on BMD in middle-aged women.

• Korean Journal of Ecology and Environment
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• v.43 no.2
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• pp.232-241
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• 2010

Epilithic diatom communities and water quality were monitored to evaluate the ecological impact of the inflow of Wonju-stream passing through the urban area in the Seom River Watershed. We selected the 14 sampling stations (5 main stream sites and 9 tributary sites), and collected diatom and water samples between October 2007 and September 2008, on the seasonal basis. The results indicate that most water quality parameters showed the site-specific patterns over the study, except for water temperature and dissolved oxygen. The levels of water quality parameters were highest at the site of Wonju stream, whereas the lowest in the upstream sites, and intermediate or gradually decreased in the downstream sites of the Seom river. One species, Achnanthes convergens, showed the highest biomass and frequency over the sites, while three saprophilous species-Navicula goeppertiana, Navicula subminuscula, Nitzschia palea were appeared only in Wonju Stream and other polluted sites. According to trophic diatom index (TDI) values, which were highly correlated with nutrients and EC, the study sites were classified into three classes: upstream and tributary (Class A and B), Wonju Stream (Class D), and mixed zone and downstream (Class C). A cluster analysis supported the result of TDI classification. Therefore, Wonju-stream located in populated urban area exerted the adverse ecological effects on the epilithic diatom community and water quality of the lower Seom River System, although its severity gradually decreased downstream.

• Journal of Korean Home Economics Education Association
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• v.26 no.2
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• pp.15-30
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• 2014

The purpose of this study is to provide basic information on clothing preference to help teachers suggest clothes that help students adapt better to school life, and to get basic data specific to Home Economics curricula and how teenagers' attitude toward clothes correlate with their conformity to school as a whole. The survey of 587 students was conducted between December 17-24, 2012 in Gwangju. The data was analyzed using the SPSS 18.0 for window program: frequency, means, factor analysis, cluster analysis, Chronbach's ${\alpha}$, t-test, and ANOVA. There were significant differences in the many adolescents's adapted to school life based on the clothing behavior conformity and the attitude toward the name-brand. The results showed that, if it is not extreme, adolescents had the more the clothing behavior conformity on peer & mass media than less, they did well adapt on school life. And the group of more preference for the name-brand clothing result in low school discipline adaptation but high peer and teacher relationship. In adaptation of learning, they were not different significantly based on attitudes toward the name brand.

• Journal of Families and Better Life
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• v.14 no.3
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• pp.211-222
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• 1996

The purpose of this study is to classify the expenditure behaviors of housewives into some types and to identify the characteristics of the types focucing on diverse expenditure behaviors of urban households. In this study it is assumed that the expenditure behaviors are classified by there factors-(1)the orientation of money saving (2)the orientation of time saving and (3)the orientation of others. The present study suggests following three questions. (1). Can the expenditure behaviors of urban housewives be classified according to the orientation of money saving the orientation of others? (2) What distictions exist among the types? (3) Which variables are useful in classifying the expenditure behaviors? For empirical analysis the data of the study was collected from 650 housewives living in Seoul. The statistical methods adopted for data analysis are frequency percentage mean Pearson's correlation coefficient factor analysis cluster analysis one way ANOVA Duncun's multiple ran e test and discriminant analysis. As the major findings 4 types were extracted, According to the level of each dimensions the names for the each type were given as "the type of attaching importance to money saving" "the type of attaching importance to time and appearance" "the type of attaching importance to money saving and time" "the type of attaching importance to money saving and time" "the type of attaching importance to money saving and time" "the type of attaching importance to money saving and appearance" In "the type of attaching importance to money saving" the significant portion of housewives have high school degrees and compared with other types this type includes more husbands having sales and service job 55% of housewives of "The type of attaching importance to time and appearance" have graduate or higher degrees. The significant part of earned incomes range from 3 million won to 5 million won. The rate of housewives employed in the professional job is higher than other types. In "The type of attaching importance to money saving and time" the rate of the employment of housewives in this type is the highest among the types. In "The type of attaching importance to money saving and appearance" the significant portion of housewives have graduate degrees. In the jobs of he spouses the management job is major. The consciousness of belonging to the middle class is higher than other types. In this type the level of education is high but that of income is not. The result of the discriminant analysis says that the earned income and the consciousness of belonging to a calss are the most critical variables to classify the expenditure behaviors into 4 type The accuray of the classification of the discrimination equation composed of these variables is 47,5% The accuracy is improved by 10%.

• Journal of the Korean Magnetics Society
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• v.5 no.1
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• pp.8-14
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• 1995

The magnetic properties of an $Fe_{87}Zr_{7}B_{5}Ag_{1}$(at.%) amorphous alloy have been investigated as a function of annealing temperatures to clarify its application potential as a core material for high-frequency use by adding a small amount of insoluble element of Ag. A new excellent soft magnetic material was developed. The amorphous alloy produced by relatively low temperature annealing at $T_{a}=400^{\circ}C$ exhibited very high initial permeability$(\mu_{i})$ of 288,000 at 1kHz and 2mOe, very low coercivity$(H_{c})$ of 15mOe and low core loss$(W_{c})$ of 50W/kg at 100kHz and 1,000G which is comparable with Co-based amorphous alloys, respectively. It is notable that the values obtained in the present study are the best magnetic properties among various kinds of Fe-based soft amorphous materials reported up to date. The reasons for the achievement of good soft magnetic properties are presumably due to the homogeneous formation of very fine $\alpha$-Fe clusters with the size of 2~3nm in an amorphous matrix, which can be deduced from the increase of resistivity and the TEM observation. The very fine $\alpha$-Fe clusters embedded in an amorphous matrix had a great influence on reduction of magnetostriction and refinement of magnetic domain.