• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.431-446
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• 2012

In this study, a survey was carried out on wine consumers over age 20 experienced in wine purchase and drinking from December 1 through December 31, 2011 with the object of figuring out the effects of wine selection attributes on satisfaction and repurchase intention, and making an empirical analysis of the difference depending on involvement in wine. The findings of this study are summarized as follows. The effect of wine selection attributes on satisfaction showed that price, label and wine characteristic had a significant positive effect on satisfaction. The effect of wine selection attributes on repurchase intention showed that locality, price, and wine characteristic had a significant positive effect on repurchase intention. For wine attributes affecting satisfaction, the wine involvement moderated the relationship between locality, price, and satisfaction of wine attributes. And for wine attributes affecting repurchase intention, the wine involvement moderated the relationship between label and repurchase intention of wine attributes. In other words, local characteristics and reasonable prices of the cultivation areas for wine, and indigenous characteristics of wine in quality itself supported the existing preceded findings. And these findings showed the characteristics in that the wine involvement moderates satisfaction and repurchase intention.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.163-170
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• 2019

Over the past decade, the development of the Web explosively increased the data. Feature selection step is an important step in extracting valuable data from a large amount of data. This study proposes a novel opinion mining model based on combining feature selection (FS) methods with Word embedding to vector (Word2vec) and BOW (Bag-of-words). FS methods adopted for this study are CFS (Correlation based FS) and IG (Information Gain). To select an optimal FS method, a number of classifiers ranging from LR (logistic regression), NN (neural network), NBN (naive Bayesian network) to RF (random forest), RS (random subspace), ST (stacking). Empirical results with electronics and kitchen datasets showed that LR and ST classifiers combined with IG applied to BOW features yield best performance in opinion mining. Results with laptop and restaurant datasets revealed that the RF classifier using IG applied to Word2vec features represents best performance in opinion mining.

• Culinary science and hospitality research
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• v.22 no.5
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• pp.37-51
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• 2016

The purposes of this study were (1) to investigate the important selection attributes of coffee brands and the relative positions of major coffee brands on the positioning map through similarities and preferences of coffee brands that customers perceive and (2) to provide Korean coffee brands with strategic information about how to differentiate themselves from existing competitors in the Chinese market. A total of 268 samples were used for data analysis that comprised frequency analysis, descriptive statistics, ALSCAL, and regression analysis. The results showed that among 8 coffee brand selection attributes the most important was atmosphere, followed by cleanness and sanitary condition, and convenient location and transportation. Friendly service, taste of coffee, price and variety of menu were next and brand was the least important among 8 selection attributes. The results of positioning map showed that Maan Coffee was evaluated the highest iin atmosphere, cleanness and sanitary condition, and convenient location and transportation compared to other coffee brands. Marketing strategies for Korean coffee franchisers (Angel-in-us Coffee and Caffe Bene) were provided for successful repositioning in the Beijing coffee market.

• Culinary science and hospitality research
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• v.18 no.3
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• pp.90-107
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• 2012

This research has been conducted to discover the consumer's behavior in the purchase and consumption of korean alcoholic beverages. The intent of these works are to contribute to the growth of the traditional alcoholic beverages markets by giving necessary data for the marketing strategies and the development of favorite beverage to meet the consumer's tastes. The surveys have been conducted against a group of people ranging from their 20's to 60's randomly picked from seoul. The duration of the surveys was from August 1st to September 30th, 2010. We also examined the relationship between the selection attributes of traditional liquor and purchase satisfaction by consumer's life-styles. SPSS 18.0 statistical package was used to process data. Frequency analysis, factor analysis, a reliability test, K-means cluster analysis, one-way ANOVA and multiple regression were executed. As a result, through factor analysis and cluster analysis, authors identified 6 factors in the selection attributes of traditional liquor(characteristics, taste & fragrance, popularity, design, harmony, interest), 4 consumer groups(expert, fan, beginner, indifference), 4 consuming lifestyles(social oriented consuming style, maniac consuming style, pursuit of knowledge consuming style, outsider consuming style). Among the selection attributes of traditional liquor, taste & fragrance and popularity had effects on purchase satisfaction.

• Journal of Distribution Science
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• v.10 no.1
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• pp.33-42
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• 2012

This study is focused on traditional market's competitiveness in Korea. Ever since the Korean retail industry had been opened to the big conglomerates, the traditional markets have faced very serious competition from various types of distribution channels. In particular, this study has been conducted to find another way to help the Korean traditional market from the perspective of college students who are consumers of the future. This study examines the relationships among store choice attributions, consumption emotion, consumer's value, and relationship quality from the perspective of college students. In order to verify the relationship, and moderating and mediating effects, data were collected from 126 college students in Whasung, Gyeonggi Province to test the theoretical model and its hypotheses. The results of this study are as follows: First, service (= .263, p < .01) and advertising (= .188, p < .05) are significantly positively related to relationship quality. However, store atmosphere (= .176, p = .052) is not statistically significantly related to relationship quality. The result that students have stereotypes about the atmosphere of traditional markets and are therefore excluded from their store choice attributions can be expected. Second, college students selected service division (= .230, p < .05) as the most important factor among the traditional market's store choice attributions. This result reflected that enhancing service strategy would strengthen the traditional market against discount stores. The process of product selection by customers in discount stores is based on the concept of self-service. However, traditional market traders can make various contacts with their customers. If traditional market traders can enhance various service factors just like in the process of product selection, it will effect strong competitive advantages. Third, it is also revealed that consumer's value exhibit complete mediation effect in the relationships between service and advertising. These results showed that traditional markets must be considered for consumer value. Because previous studies showed that values refer to "enduring belief that … specific mode of conduct or end-stat of existence … personally or socially preferable to an opposite of converse mode of conduct or end-state of existence" (Rokeach, 1973; George and Jones, 1996). Furthermore, Schwartz (1994) defined values as desirable trans-situational goals, varying in importance, that serve as guiding principles in the life of a person or other social entity. As conceptions of desirable end-states of existence or modes of conduct, values help people choose, evaluate, and give meaning to their experiences (Rokeach, 1973). Efforts (e.g. promote the consumers value) of the traditional market traders will improve the preferences for the traditional market of consumers and college students. Implications and future research directions are also discussed.

• Journal of the Society of Naval Architects of Korea
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• v.36 no.1
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• pp.82-89
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• 1999

A designer must make a lot of decisions in a design process. The decisions may be classified into selection decisions and compromise decisions. As the results of two decisions depends on the designer's intention it is necessary that the designer's intention should be reflected in the design systematically and precisely. As the AHP(Analytic Hierarchy Process) technique analyzes and evaluates a obscure selection problem hierarchically, designer's intention can be reflected in the design systematically. Also as qualitative attributes can be rated at quantitative criterion the designer's intention can be reflected consistently. Usually an engineering problem is a coupled problem in which a designer must select one alternative from a set of alternatives and find optimal characteristics of the alternative concurrently. As considered attributes are functions of the compromise system variables and the attributes's units and orders are different each other, attribute ratings must be normalized. This paper introduces a neural network at this normalization. So the attribute ratings can reflect designer's intention and the knowledge from his(her) experience automatically.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.99-101
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• 2014

불안정한 네트워크 환경 문제를 해결하기 위해 제안된 Delay Tolerant Network(DTN)에서는 안정적인 통신을 위해 저장 및 전달(store-carry-forward) 방식의 라우팅 프로토콜을 사용한다. 이중 노드의 속성 정보를 이용하여 추후 네트워크 상황을 예측하고 라우팅을 하는 예측 기반 라우팅 프로토콜은 GPS와 같은 위치 서비스의 발전으로 인해 DTN에 효과적으로 적용 될 수 있다. 이러한 예측 기반 라우팅 프로토콜에서는 중계 노드의 효율성이 네트워크의 상황에 따라 달라지기 때문에 위치 서비스를 통해 받는 노드의 속성 정보를 분석하는 연구가 제시되어야 한다. 본 논문은 노드의 속성 정보를 네트워크의 환경 정보에 따라 분석하여 효율적인 중계 노드를 선택하는 알고리즘을 제안한다. 제안하는 알고리즘은 노드의 속도, 방향, 위치 등의 속성 정보를 네트워크의 정보에 따라 가중치를 두어 다양한 네트워크 환경에서 더 효율적인 노드를 선택할 수 있도록 한다. 본 논문은 제안하는 알고리즘을 사용한 라우팅 프로토콜이 기존 라우팅 프로토콜에 비해 전송률, 지연시간, 오버헤드 측면에서 향상됨을 검증한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.330-331
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• 2010

소프트웨어 아키텍처는 소프트웨어의 품질에 지대한 영향을 미치는 요소 중 하나이다. 소프트웨어 개발 생명주기 초기에 아키텍처를 분석하고 평가하지 않으면, 점점 품질결함을 발견하고 수정하는 비용이 증가한다. 기존 소프트웨어 아키텍처 분석 및 평가 방법은 아키텍처라는 상당히 추상화된 수준에서 분석 및 평가가 이루어지기 때문에 평가기준이 주관적이며, 선택된 아키텍처 후보들만으로 서로에게 미치는 품질속성의 영향을 파악하기 힘들다. 따라서 품질 속성 시나리오나 아키텍처 전략을 구현하기 위한 세부적인 아키텍처 전술들의 품질평가가 필요하다. 본 연구는 이러한 아키텍처 전술의 품질 평가를 위해, Q-SIG(Quantified Softgoal Interdependency Graph)을 이용한 품질속성과 이를 달성하기 위한 아키텍처 전술의 관계를 정성적, 정량적으로 표현한다. 또한 Bayesian Belief Network(BBN) 모델 구축을 통해 Q-SIG에서 표현할 수 없는 다수의 품질속성을 만족하는 아키텍처 전술들 간의 조합에 대해 분석하고, 평가하여 아키텍트가 소프트웨어 디자인 단계에서 높은 품질속성을 달성할 수 있는 아키텍처 전술들의 조합을 선택할 수 있는 방법을 제시한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.166-168
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• 2012

바이오 문헌으로부터의 의미 있는 객체 추출 및 상호작용 관계 추출은 수 많은 바이오 문헌으로부터 유용한 정보를 얻기 위한 필수적인 과정이다. 특히 문헌으로부터 유전자 또는 단백질 이름과 같은 바이오 객체를 정확하게 인지하는 것은 새로운 객체인식의 어려움과 객체를 찾기 위한 특징 패턴의 다양성으로 인해 도전적인 과제로 남아있다. 본 논문에서는 전처리 과정을 거친 문헌 데이터로부터 12개의 의미 있는 속성들을 선택하였다. 선택된 속성에 데이터마이닝 기법중 하나인 속성 추출 기법을 적용하여 객체를 분류하는데 있어 의미 있는 속성들을 추출하였다. 특징 추출 방법과 분류 알고리즘이 분류 성능에 미치는 영향을 평가하기 위해 각 방법의 정확도를 사용하여 분류 성능을 비교였으며, Gain Ratio Attribute Evaluation과 Symmetrical Uncertainty Attribute Evaluation 기법에 의해 추출된 속성이 가장 정확한 분류 성능을 보여주었다.

• Asia Marketing Journal
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• v.4 no.1
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• pp.1-24
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• 2002

소비자의 의사결정에 관한 대부분의 연구는 상표수준(brand level) 선택에 그 초점을 맞추고 있으나, 소비자는 제품수준의 의사결정상황에 자주 직면하게 된다. 따라서 본 연구는 제품수준(product level)에서의 의사결정문제에 접하게 될 때 소비목적을 달성하기 위하여 제품 수준에서는 환기군에서 유도된 고려군을 어떻게 형성하는지를 전형성의 개념을 이용하여 살펴보았다. 그리고 이를 통해 선택된 특정제품에 대한 상표대안들에 대하여 환기군에서 유도된 고려군이 형성되는 전반적인 과정을 제품수준과 연결하여, 제품수준과 상표수준에서의 고려군 형성과 대안평가의 차이를 비교하였다. 연구결과 제품수준의 경우에서는 대안평가기준이 상표수준보다 추상적인 속성을 이용하고 있는 것으로 나타났고, 상표수준의 경우에는 제품수준보다 구체적인 속성을 이용하는 것으로 나타났다. 또한 제품수준과 상표수준에 있어 전형성 평가기준의 영향력이 다른 것으로 나타났는데, 이상적 속성과 속성구조가 고려군을 형성하기 위한 대안의 전형성 평가에 많은 영향을 미쳤으며, 상표수준의 경우에는 공통속성이나 접촉빈도가 더 많은 영향을 미치는 것으로 나타났다.