• Journal of the Korean Society of Food Culture
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• v.32 no.2
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• pp.89-98
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• 2017

To enrich a country's food culture, it is essential that residents understand and care about that culture. Although various efforts to globalize Korean food have been made outside Korea, the importance of understanding Koreans' perception of and increasing interest in Korean food has been neglected. Thus, this study was conducted to identify the cognitive structures regarding Korean food among 30 Koreans living in metropolitan cities using in-depth laddering interviews based on the means-end chain theory. The most dominant cognitive structures toward Korean food were familiarity (attributes), ease of digestion and health (functional consequences), sense of responsibility and will to live (psychosocial consequences), and family affection and sense of achievement (values). In short, Koreans were found to consume Korean food to achieve perceived high-dimensional values rather than simply for its attributes or benefits. These findings have important implications for future strategies and policies aimed at increasing Korean food consumption by Koreans, as they suggest that underlying and symbolic values rather than the attributes of Korean food are more effective in promoting its consumption. Further studies on understanding perceptions and values using a larger Korean population are needed to preserve and further develop Korean food.

• Journal of the East Asian Society of Dietary Life
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• v.26 no.1
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• pp.34-43
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• 2016

This study was performed to improve the quality index of paprika by assessment of instrumental test and sensory attributes. Red paprika (11 cultivars), orange paprika (9 cultivars), and yellow paprika (10 cultivars) were provided by GyeongNam (GN) and JeonBuk Agricultural Research and Extension Services (JB). We measured hardness and color values using a colorimeter and TPA as well as developed new terminology such as cucumber taste, grass taste, green pepper flavor and appearance (size, color size, color, and glossiness), texture (hardness, juiciness), and taste (sweetness, pungency, sourness) to describe paprika quality attributes by trained panels. a* value of red 'Nagano' cultivar provided by JB was significantly low, and only b* value of orange paprika was significantly different among the samples. In the case of yellow paprika, b* values were not significantly different, and hardness was significantly different. Overall color values were different among samples provided by GN. Oranos, orange paprika, L value, b value, and hardness were different among the samples. Bitterness was negatively correlated with sweetness and positively correlated with green pepper aroma (p<0.05). Overall acceptability was positively correlated with size, juiciness, and sweetness (p<0.01) and negatively correlated with pungent (p<0.05) and bitterness (p<0.01). In conclusion, negative attributes such as bitterness and pungentness as well as positive attributes such as size, juiciness, and sweetness must be considered as important factors for consumer preference and breeding of new cultivars.

• The Research Journal of the Costume Culture
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• v.1 no.2
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• pp.113-130
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• 1993

The purpose of this study was to investigate the role of perceived attributes of innovation in predicting the fashion innovativeness of female college students and to compare results with the predictive efficacy of selected psychographic variables. The data were analyzed by factor analysis and stepwise multiple regression. Frequency, percentage and man values were used to evaluate the descriptive data. The major findings derived from analysis are as follows: 1. Of the psychographic variables used to predict fashion innovativeness fashion interest was the most predictive of fashion innovativeness followed by venturesomeness. 2. So only perceived attributes variables found to be predictive of fashion innovativeness was perceived risk.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.217-221
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• 2013

I suggest a new method to determine the importance values of quality attributes which use the satisfaction index and dissatisfaction index of customer in Kano's model. A case study of TV set are solved by the proposed method and the result is compared with AHP pairwise comparisons and ASC(Average Satisfaction Coefficient). The results of the proposed method is similar with those of AHP pairwise comparisons and ASC. The proposed method is an effective tool to determine the importance values of quality attributes to supplement existing research's shortcomings.

• Journal of Distribution Science
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• v.17 no.1
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• pp.73-87
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• 2019

Purpose - This research aims to investigate the effects that the selection of oriental medicine cosmetics and brand asset attributes have on consumers' economic, emotional and social values in order to shed light on the forms and characteristics of consumption within the globally developing oriental medicine cosmetics market, and in the end positively verify how such perceived values affect purchase intention. In addition, it proposes research outcomes by comparing the differences between national and cultural consumer purchase behavior based on the comparisons of consumer groups in South Korea and China, the major markets for oriental medicine cosmetics. Research design, data, and methodology - Based on advanced research a total of 9 hypotheses were designed and questionnaires consisting of 16 questions to identify six major variables were conducted. Research was carried out centered on Seoul, South Korea, and its surrounding metropolitan area as well as Beijing and Shanghai, China, and a total of 577 sets of significant data were collected. A comparison analysis was then conducted on the data from 285 Koreans and 292 Chinese. A regression analysis and path analysis were also carried out based on a structural equation model to suggest results. Results - Research results show brand value assets had a more crucial impact on consumers' perceived value than consumer selection of oriental medicine cosmetics, while emotional value had a bigger effect on purchase intension than social or economic values. For Chinese consumers in particular, social, economic and emotional values affected purchase intention, while emotional value was the most crucial factor for Korean consumers. Conclusions - With oriental medicine cosmetics, brand characteristics and images that helped express emotional desire proved to be more effective in marketing than the performance aspect of cosmetics, including their functions and ingredients. In the end, products that highlight individual desire and emotion should be introduced instead of those that emphasize price, functions and social characteristics in order to expand the global market of oriental medicine cosmetics.

• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.484-498
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• 2009

The purpose of this study is to explore the applicability of QFD to product development of clothes by empirically applying it to development of a specific clothes, middle and elderly women’s formal knitwear. The voices of customers(VOCs) for formal knitwear was collected through in-depth interviews with 25 customers, shop masters, and designers. Also, questionnaires of which respondents were 230 customers were used to rank the importance of the items of VOC. A QFD team of 10 knitwear experts implemented the task of translating VOCs into design attributes and measuring the values of the relationships between VOCs and design attributes. Importance ranking of the items of design attributes was obtained based on Lyman's method. The results of this study were as follows. First, the customer requirements for formal knitwear were classified into five dimensions, that is, symbolism, aesthetic, fitness, usefulness, and maintenance. Second, the descending order of the necessity of improving the quality was maintenance, aesthetic, fitness, usefulness, and symbolism. Third, three-staged design attributes were obtained as a result of translating of VOCs into design attributes. Lastly, the descending order of the importance of design attributes was "sorts of yarn", "sorts of color jacquard", "color", "tone", "ease", etc.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.6
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• pp.1053-1069
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• 2020

This study examined the sales pattern relationship with respect to product attributes to propose sales forecasting for fashion products. We analyzed 537 SKU sales data of T-shirts in the domestic sports brand using SAS program. The sales pattern of fashion products fluctuated and were influenced by exogenous factors; therefore, we removed the influence of exogenous factors found to be price discounts and holiday effects as a result of regression analysis. In addition, it was difficult to predict sales using the sales patterns of the same product since fashion products were released as new products every year. Therefore, the forecasting model was proposed using sales patterns of related product attributes when attributes were considered descriptive variables. We classified sales patterns using K-means clustering in order to explain the relationship between sales patterns and product attributes along with creating a decision tree classifier using attributes as input and sales patterns as output. As a result, the sales patterns of T-shirts were clustered into six types that featured the characteristic shape of peak and slope. It was also associated with the combination of product attributes and their values in regards to the proposed sales pattern prediction model.

• Journal of Nutrition and Health
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• v.53 no.1
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• pp.54-67
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• 2020

Purpose: This study examined the relationship between job stress, attributes of health functional food (HFF) selection, and consumption values for information technology (IT) workers, and analyzed the factors influencing the selection of HFF to improve health by making the right choice of HFFs. Methods: Three hundred forty IT workers in Gyeonggi area participated in the study. The participants were divided into low or high job stress group. The differences in participants' general characteristics, attributes of HFF selection, and HFF consumption values were investigated, and the mediating effects of HFF consumption values on the relationship between job stress levels and the HFF selection attributes were analyzed. Results: Job stress levels were high in those IT workers with a length of service < 5 years (p = 0.013). The group with lower job stress levels had a higher tendency to consider the ingredients contained in HFF products (p < 0.001), and their efficacy (p = 0.047). They also showed greater emotional value for a sense of security from consuming HFFs to stay healthy (p = 0.047). The group with higher job stress levels had greater epistemic value in that their choice of HFFs differentiated them from the other workers (p = 0.036). Higher job stress was associated with less consideration of the intrinsic attributes such as ingredients and efficacy of the HFF selection attributes (p = -0.113), emotional value of the HFF consumption values (p = -0.136), and the functional value such as practicality, price, and safety (p = -0.134). The job stress level influenced the intrinsic attributes through the functional and emotional values, demonstrating that the functional and emotional values had appropriate mediating effects on the relationship between job stress levels and intrinsic attributes. Conclusion: Education needs to be provided for workers to relieve job stress and improve the functional and emotional values, which contributes to choosing the appropriate HFFs.

• Journal of the Korean Institute of Intelligent Systems
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• v.8 no.6
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• pp.27-36
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• 1998

This paper suggests an integrated method based on rough sets for discovering useful knowledge from a large databse. Our approach applies attribute-oriented concept hierarchy ascension technique to extract generalized data from actual data in database, induction of decision trees to measure the information gain, and knowledge reduction method of rough set theory to remove superfluous attributes and attribute values. The integrated algorithm first reduces the size of database through the concept generalization, reduces the number of attributes by means of eliminating condition attributes which have little influence on decision attribute, and finally induces simplified decision rules by removing the superfluous attribute values by analyzing the dependency relationships among the attributes.

• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1541-1549
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• 1997

Many classification algorithms require that training examples contain only discrete values. In order to use these algorithms when some attributes have continuous numeric values, the numeric attributes must be converted into discrete ones. This paper describes a new way of discretizing numeric values using information theory. Our method is context-sensitive in the sense that it takes into account the value of the target attribute. The amount of information each interval gives to the target attribute is measured using Hellinger divergence, and the interval boundaries are decided so that each interval contains as equal amount of information as possible. In order to compare our discretization method with some current discretization methods, several popular classification data sets are selected for experiment. We use back propagation algorithm and ID3 as classification tools to compare the accuracy of our discretization method with that of other methods.