• Culinary science and hospitality research
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• v.15 no.2
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• pp.121-135
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• 2009

The pattern of liquor consumers started to change as the well-being trend and great interest in health have risen for the last few years. In particular, consumption of wine is gradually increasing with the findings revealing that drinking proper amount of wine is good for preventing various adult diseases such as sclerosis of the arteries, heart disease and aging. Accordingly, this study aims at understanding the importance of wine buyers' choice attributes when buying and drinking wine in order to contribute to satisfying customers, popularizing wine and expanding its base. From December 1 to 31 in 2008, it made a survey on natives and weekly settled population living in Seoul area who had bought wine at a wine retail shop with literature and positive researches. It made an application of SPSS 12.0 to analyze the importance of wine buyers' choice attribution based on the demographical characteristics and use behavior with such analysis methods as the frequency analysis, the factor analysis, the reliability test, ANOVA and multiple regression. The results are summarized as follows. First, it showed that there are significant differences between buying and drinking wine by producing countries, buying places, prices, companions except for the number of drinking times, drinking places, and information sources. Second, it showed that wine buyers' choice attributes such as brand characteristics and effects on health have a positive effect on customer satisfaction.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.2
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• pp.177-187
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• 1999

Up to date, in many application fields of GSIS, we usually have used vector-based spatial overlay or grid-based spatial algebra for extraction and analysis of spatial data. But, because these methods are based on traditional crisp set, concept which is used these methods. shows that many kinds of spatial data are partitioned with sharp boundary. That is not agree with spatial distribution pattern of data in the real world. Therefore, it has a error that a region or object is restricted within only one attribution (One-Entity-one-value). In this study, for improving previous methods that deal with spatial data based on crisp set, we are suggested to apply into spatial overlay process the concept of fuzzy set which is good for expressing the boundary vagueness or ambiguity of spatial data. two methods be given. First method is a fuzzy interval partition by fuzzy subsets in case of spatially continuous data, and second method is fuzzy boundary set applied on categorical data. with a case study to get a land suitability map for the development site selection of new town, we compared results between Boolean analysis method and fuzzy spatial overlay method. And as a result, we could find out that suitability map using fuzzy spatial overlay method provide more reasonable information about development site of new town, and is more adequate type in the aspect of presentation.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.444-455
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• 2013

The purpose of this study is to explore the selection attributes for parents of children with language disability when choosing a clinic. The data collection was carried out in 3 steps: the preliminary survey, first open survey and second survey in AHP(Analytic Hierarchy Process). The subjects of were 252 in total. The results were as follows: First, The order of priority attributes in superior categories for parents of children with language disability when selecting a clinic were 'therapist-related attributes', 'program-related attributes' and 'physical-related attributes' in turn. The top 5 priority attributes in subcategories were 'therapist's academic background and major', 'ability to make a rapport', 'clinical experience and qualification of therapist', 'kindness and confidence' and 'counseling program for parents'. Second, The parents of preschoolers age 6 and younger chose 'clinical experience and qualification of therapist', 'counseling program for parents' and 'learning materials' for the most priority attributes, whereas the parents of students age from 7 to 12, considered 'therapist's academic background and major', 'clinical fee' and 'distance transport parking' more importantly to select a clinic. The results of this study provided preliminary data for successful planning of speech and language therapy.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.50-62
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• 2016

The aim of this study was to develop scale of test taker to affect on process of selection of college. The study procedures were performed as follow : establish of study model, item generation, verification of content validity, 1st and 2nd pilot test and verification of construct validity and reliability. In order to verification of validity and reliability, 230 freshman were surveyed and the data were analyzed by mean, standard deviation, skewness. kurtosis, Pearson correlation, Verimax factor analysis and Cronbach's ${\alpha}$. As result of factor analysis, the 15 factors(61 items) that explain 68.37% of the total variance were extracted and each factors were classified by attribution as follow : Information collection-mass media(4items), college activity (3items), support and environment(4items), education(5items), Influential person on decision making(3items), education quality(4items), education service(5items), reputation(3items), accessibility(2items), personal circumstances(2items), college's mass media(5items), promotion (4items), on-line(4items), person's PR (3items), College image(10items). Cronbach's ${\alpha}$ of total items was 0.916 and Cronbach's ${\alpha}$ of each factors were showed range between 0.694~0.878. Measurement scale of this study may be utilized to collect basic data be required to establish policy strategy of local college be faced with difficulty of admission recruitment.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.159-168
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• 2019

The purpose of this study is to propose a strategy for creating an advertisement for Corporate Social Responsibility(CSR) based on the strategy of selecting an advertisement model in order to efficiently execute the advertisement of CSR. Data were analyzed by regression analysis. The results of this study are as follows: First, it is found that the value-relevance factors of the model are important regardless of the theme of CSR. In the economic field, the reliability of the model is important. But, the attractiveness of the model was more important in the environmental field. Second, it is effective to select a model with high value-relevance when selecting CSR advertising model. But, in the case of an expert, it is effective to select not only value addition, but also attractive and reliable models. Third, when producing CSR ads using emotional messages, it is important to consider the value and reliability of the advertising model. But, it is important to select the model considering the importance of the value and attractiveness of the advertisement model when producing the CSR advertisement using the informational message. It was found that it is very important to select a model that has a high relevance to the image of the social responsibility subject and the advertisement model when producing the social responsibility advertisement.

• Journal of Service Research and Studies
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• v.14 no.1
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• pp.27-43
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• 2024

The market share of online platform services in the used car market continues to expand. And The used car online platform service provides service users with specifications of vehicles, accident history, inspection details, detailed options, and prices of used cars. SUV vehicle type's share in the domestic automobile market will be more than 50% in 2023, Sales of Hybrid vehicle type are doubled compared to last year. And these vehicle types are also gaining popularity in the used car market. Prior research has proposed a used car price prediction model by executing a Machine Learning model for all vehicles or vehicles by brand. On the other hand, the popularity of SUV and Hybrid vehicles in the domestic market continues to rise, but It was difficult to find a study that proposed a used car price prediction model for these vehicle type. This study selects a used car price prediction model by vehicle type using vehicle specifications and options for Sedans, SUV, and Hybrid vehicles produced by domestic brands. Accordingly, after selecting feature through the Lasso regression model, which is a feature selection, the ensemble model was sequentially executed with the same sampling, and the best model by vehicle type was selected. As a result, the best model for all models was selected as the CBR model, and the contribution and direction of the features were confirmed by visualizing Tree SHAP Value for the best model for each model. The implications of this study are expected to propose a used car price prediction model by vehicle type to sales officials using online platform services, confirm the attribution and direction of features, and help solve problems caused by asymmetry fo information between them.

• Information Systems Review
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• v.20 no.4
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• pp.59-78
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• 2018

With the advent of the various device types and marketing communication, customer's search and purchase behavior have become more complex and segmented. However, extant research on multichannel marketing effects of the purchase funnel has not reflected the specific features of device User Interface (UI) and User Experience (UX). In this study, we analyzed the marketing channel effects of multi-device shoppers using a unique click stream dataset from global online retailers. We examined device types that activate online shopping and compared the differences between marketing channels that promote visits. In addition, we estimated the direct and indirect effects on visits and purchase revenue through customer's accumulated experience and channel conversions. The findings indicate that the same customer selects a different marketing channel according to the device selection. These results can help retailers gain a better understanding of customers' decision-making process in multi-marketing channel environment and devise the optimal strategy taking into account various device types. Our empirical analyses yield business implications based on the significant results from global big data analytics and contribute academically meaningful theoretical framework using an economic model. We also provide strategic insights attributed to the practical value of an online marketing manager.

• 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.