• The Korean Journal of Food And Nutrition
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• v.22 no.4
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• pp.560-569
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• 2009

This study was conducted to investigate the annual differences in food habits and dietary attitudes of new female college students enrolled in the department of food and nutrition for 6 years by questionnaire. The results were as follows: age, height, weight and body mass index(BMI) were no significant annual differences over study period. The average ratios of underweight, normal weight and above overweight groups classified by the BMI standard were 19.4%, 64.4% and 16.2%, respectively. There were no significant annual differences in the scores of food habits and dietary attitudes. The intake of milk showed the lowest scores among all the food habit items and the same annual tendencies for 6 years. Among food groups items, the mean intake scores of milk(p<0.01), fats and oils(p<0.001) and vegetables(p<0.05) differed significantly by year. Specifically, the intake scores of milk and vegetables decreased gradually throughout the study period and were significantly lower in 2008 than in 2003. Among dietary habits, the mean intake scores of sweets were significantly lower in 2003 and 2007 than in other years(p<0.001), and the mean intake scores of instant frozen foods were significantly higher in 2006 than during other years(p<0.05). The sum of health related items in 2007 was significantly lower than those during other years, and this was likely due to the lowest scores both of eating-out and alcohol intake in 2007 than in other years. Among dietary attitudes, the mean score of item 'Price of food is more important than nutrition.' was significantly lower in 2005(p<0.05). Food habit scores showed significantly positive correlation with dietary habits(r=0.733, p<0.01), food groups related habits(r=0.720, p<0.01), lifestyle related disease related habits(r=0.518, p<0.01), health related habits(r=0.422, p<0.01). Food habits and dietary attitudes showed highly significantly positive linear correlations each other(r=0.426, p<0.01). Dietary habits and food groups related habits showed highly significantly positive linear correlations(r=0.366, p<0.01). These results showed the same annual tendency with respect to food habit and dietary attitudes in newly enrolled college female students for 6 years. It is expected that food habit and dietary attitudes will be improved if systemic and proficient nutrition education is provided during their college period.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.609-616
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• 2016

This paper is proposed a customized market analysis method using SVM and collaborative filtering. The proposed customized market analysis scheme is consists of DC(Data Classification) module, ICF(Improved Collaborative Filtering) module, and CMA(Customized Market Analysis) module. DC module classifies the characteristics of on-line and off-line shopping mall and traditional markets into price, quality, and quantity using SVM. ICF module calculates the similarity by adding age weight and job weight, and generates network using the similarity of purchased item each users, and makes a recommendation list of neighbor nodes. And CMA module provides the result of customized market analysis using the data classification result of DC module and the recommendation list of ICF module. As a result of comparing the proposed customized recommendation list with the existing user based recommendation list, the case of recommendation list using the existing collaborative filtering scheme, precision is 0.53, recall is 0.56, and F-measure is 0.57. But the case of proposed customized recommendation list, precision is 0.78, recall is 0.85, and F-measure is 0.81. That is, the proposed customized recommendation list shows more precision.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.392-402
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• 2018

Citrus fruits can be classified as field citrus, greenhouse citrus, citrus produced by rain proof cultivation and late-harvested citrus such as Hallabong, Chunhaehyang, and Jinjihyang according to cultivation method or variety in Jeju province of Korea. The consumption of late-harvested citrus has been increasing steadily since 1990 because the sugar content of the fruits is ordinary higher than field citrus. The cultivation land of citrus produced by rain proof cultivation has been also enlarged continuously aided by Korean government support program and quality increasing effect of this cultivation method. However, the cultivation land of field citrus has been decreasing since 2010. In spite of such a decrease of cultivation land, recently the price of field citrus rather declined according to increasing of yield per 10a. For the estimation and forecast of the long-term supply-demand model in the field citrus, we constructed a partial balance model for the individual field citrus and estimated individual equation in each item's model by using the econometric method. As a result of the production storage scenario analysis, the cultivation area is expected to store 5%(14.49ha), 10%(14.97ha). 15%(15.50ha) of citrus production in 2027. This study reviews the structure of storage, and storability in Jeju field citrus and suggest several policy implications.

• The Research Journal of the Costume Culture
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• v.15 no.3 s.68
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• pp.394-404
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• 2007

The purpose of the study was to analyze the difference in knitwear purchasing behaviors of female college students in the U.S., Korea, and China. It was developed questionnaire that included knitwear purchasing behavior that is fashion information sources, evaluation criteria of knitwear products, store attributes of knitwear, knitwear buying places, and purchasing experience of foreign-made knitwear. The final sample used in this study consisted of 119 female college students in U.S., 150 female college students in Korea, and 217 female college students in China. Aged from 18 to 33. ANOVA, factor analysis, Duncan's multiple range test, frequency, and percentage as analysis methods were used. The results of the study were as follows. The preference of knitwear among the respondents was shown highly. This result is due to a world-wide trend of casual clothing, and is to prove, that knitwear is that made with flexibility, drape, and stretch, is the item that is able to satisfy consumer's desires. Knitwear preference of knitwear the U.S. respondents was shown highly, and buying intention of them was also high, not only for sweaters and t-shirts but for pants, skirts, jackets, coats, and dresses as well. Knitwear information the U.S. respondents considered important, was not only purchasing experience but also shop display and magazine advertisements. By evaluating criteria of knitwear, the U.S. respondents considered good fit, design, color, and comfort important, and they didn't consider the country of origin important. By store attributes of knitwear, the U.S. respondents specially considered the display, variety, price level, and sale frequency of merchandise. The respondents of China was shown higher than them of Korea in the intention of all items. Knitwear information the China respondents considered important, was not only purchasing experience but also shop advertisements of Newspaper and magazine and fashion articles in Newspaper and magazine. By evaluating criteria of knitwear, the China respondents considered good fit, design, color, and comfort important, and they considered fiber content and the country of origin higher than the respondents of U.S. By Store attributes of knitwear, the China respondents specially considered product knowledge and friendliness of sales personnel, Layaway payment plan, Brand names, New Fashion, and Dressing Facilities higher than the respondents of U.S. or Korea.

• Journal of the Korea Society of Computer and Information
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• v.17 no.4
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• pp.163-172
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• 2012

Modern society, various great strength crimes are producing. After all crimes happen, it is most important that prevent crime beforehand than that cope. So, many research studied to prevent various crime. However, existing method of studies are to analyze and prevent by society and psychological factors. Therefore we wishes to achieve research to forecast crime by time using Markov chain method. We embody modelling for crime occurrence estimate by crime type time using crime occurrence number of item data that is collected about 5 great strength offender strength, murder, rape, moderation, violence. And examined propriety of crime occurrence estimate modelling by time that propose in treatise that compare crime occurrence type crime occurrence estimate price and actuality occurrence value. Our proposed crime occurrence estimate techniques studied to apply maximum value by critcal value about great strength crime such as strength, murder, rape etc. actually, and heighten crime occurrence estimate probability by using way to apply mean value about remainder crime in this paper. So, we wish to more study about wide crime case and as the crime occurrence estimate rate and actuality value by time are different in crime type hereafter applied examples investigating.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.426-435
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• 2010

The object of this study was to develop an index of service quality of waterparks and verify the validity and reliability of the index. This study represents the waterparks user population in 2009, and 250 people were extracted by using the purposive sampling method. In other words, five locations have major waterparks were chosen and 50 people per each location were collected. Conference, panel survey, exploratory factor analysis and confirmatory factor analysis were performed to verify the validity of the questionnaire while item analysis, interrater reliability and internal consistency reliability were conducted to probate the reliability. Through these methods and procedures, the results of this study like these; (i) Validity of this index was significantly high and the index include amenity/cleanness, safety, price, programs, facilities, accessibility and promotion. Among them, amenity/cleanness was the major factor for the validity value; (ii) Reliability of this index was also high. There are high correlations between questions and fields and questions and total score. And the Cronbach's $\alpha$ values of the internal consistency reliability was over 0.603 except in the case of promotion which was below 0.6. After all the analysis, the index of service quality proved to be very proper and reliable index. Therefore, the major factors of service quality have to be figured out and reflected to the management innovation to improve service quality of waterparks.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.82-93
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• 2019

Fashion cannot encourage co-consumption with other people as a personal item, but it can lead to new consumer needs if fashion sharing service can professionally replace the time and cost of purchasing and managing goods. The purpose of this study is to empirically investigate the factors influencing the acceptance of fashion-sharing services based on the integration theory of user acceptance and utilization (UTAUT), and to discuss the virtuous cycle and sustainability pursuit of resources through the activation of the sharing. In this study, the research model for the acceptance of fashion sharing applications is schematized, and the survey was conducted 300 women aged 20~49 years. The screens of 'Project Anne', a representative fashion sharing service in Korea, were provided as a visual data. Reliability analysis, correlation analysis, confirmatory factor analysis, structural equation analysis, and multiple group analysis were performed using SPSS 23.0 and AMOS 22.0 statistical package for statistical analysis. As a result, efficiency and social influence positively influenced behavioral intention to use, and age has found that efficiency and social influences modulate the intensity of behavioral intention to use. Therefore, for the consumer acceptance and activation of fashion sharing services, marketing activities emphasizing efficiency and strengthening social influence factors are essential. Also, it is necessary to maintain the existing target group, 30~40s, and also construct additional products and price services for the 20s. This study is of academic significance in presenting basic data for empirical research on consumer acceptance of fashion sharing, and suggests a study on the influence relationship among user experience components for real users in the future.

• Journal of Service Research and Studies
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• v.11 no.2
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• pp.21-36
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• 2021

This study investigated the means-end chain theory more concretely through the APT hard laddering technique. This is carrying out a questionnaire survey targeting users by hair salon type, and the items drawn from the qualitative laddering technique are applied. The technique is a comparative analysis of each attribute, consequences, and value item by analyzing each step's questions. The results are as follows. First, hairdresser's ability, acceptance of individual-customized opinions, and cheap price were the most mentioned items in the selection attributes. As for the consequences items, image transformation, neatness, novelty, and psychological stability were drawn in order. The items indicated as important among the value items were satisfaction, followed by happiness, confidence, beauty, and bond. Second, the remarkable selection attributes, irrelevant of hair salon type, was revealed as hairdresser's ability and the key values pursued when using a hair salon were drawn as satisfaction, confidence, and beauty. From this result, it was found that meeting the desire of consumers using hair salons can be linked with ultimately pursued values. It was also verified that partial differences were shown by hair salon type and this meant that consumers' desire and expected benefits were different by hair salon type. Although this study drew value perception through comparison with hair salon types based on the means-end chain theory, it was confirmed that the most important selection attribute was hairdresser's ability and they select and use hair salons to gain satisfaction and confidence.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.127-141
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• 2017

Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.682-690
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• 2016

In order to present a realistic alternative to agricultural product brands which achieve quantitative growth but minimal qualitative growth, this study attempted to identify the structural factors that affect the agricultural product brand equity and quantitatively analyze the effects of the structural factors on the brand equity. For the quantitative analysis, a survey was conducted among customers with a structured questionnaire. The major results of the analysis are as follows. First, the structural factors of the agriculture product brand equity were theoretically reviewed through many preceding studies in regard to the brand and brand equity. Awareness, quality and loyalty were selected as the structural factors of the agriculture brand equity. Second, when the sub-structural factors of the agriculture product brand equity were analyzed, it was found that awareness includes familiarity, first reminding level, general awareness, sub-awareness, frequency of reference and level of people's logo recollection. Quality includes quality consistence, quality reliability, quality stability, general quality and quality for price. Loyalty includes recommendation, purchase intention, cost premium and repurchase intention. Third, in the analysis of the factors of awareness, quality and loyalty were found to be statistically significant at the 1% level of significance, and it turned out that the higher the awareness, quality and loyalty, the higher the brand equity. Fourth, the factors most influencing the brand equity differed from those obtained using the standardized coefficients. The highest standardized coefficients of the factors on rice and condiment vegetables were those for quality with values of 0.486 and 0.581, respectively, and the highest standardized coefficients of the factors on fruits and fruit vegetables were those for loyalty with values of 0.536 and 0.490, respectively. Finally, it was found to be more effective to develop brand policies using an approach based on awareness, quality and loyalty by item. Also, focusing on enhancing the quality when developing brand policies for rice and vegetables, or focusing on enhancing loyalty when developing brand policies for fruit and vegetables was found to be more efficient using the limited resources.