• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.49-66
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• 2018

This research explores a value chain structure of VR-AR media including user's perception, uses, and evaluation. The purpose of this research focused on factor analysis and the relationship among user's VR-AR adoption motivations and utilities. This research explores correlation between personal value and using motivation. This study was to identify the value structure of respondent on VR-AR usages based on means-end chain theory. The research used structured APT laddering questions and 251 data was analysed. Through such analysis, category difference by stage and relationship difference were identified and hierarchical value map was compared. There are four different value ladders: first is attributes, functional consequences, psychological consequences, and final value. This study is based on the analysis of the value chain structure factors that affect VR and AR use behavior (attributes, functional benefits, psychological benefits, use value), 'Hierarchical Value Map' between users' The purpose of the model is to construct a model. For this, 'means-end chain theory' was applied to measure the causal relationship between personal value and VR related use behavior. In order to solve this research problem, 135 people were analyzed through the structured questionnaire using the AR and VR content fitness measure and the second APT laddering, and the use of VR-AR : 1) Functional benefits; 2) Psychological benefits; 3) Means to reach value, 4) Objective value chain structure was identified. The results show that VR users tried to smooth the social life through the new virtual reality audiovisual element, the newness of experience, fun, and pleasure through the departure of reality, vividness of experience, and leading fashion. The AR fitness was a game and a new program, and the value of interacting with other people and the value of 'periwinkle' played an important role through the vividness and peripheral interaction of AR, It was an important choice. The important basic values of users' VR and AR selection were correlated with psychological attributes of interaction with others, achievement, happiness and favorable values.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.325-332
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• 2016

The purpose of this study is to investigate the attributes influencing the prevalence of metabolic syndrome and develop the prediction model for metabolic syndrome over 40-aged people from Korea Health and Nutrition Examination Study 2012. The researcher chose the attributes for prediction model through literature review. Also, we used the decision tree, logistic regression, artificial neural network of data mining algorithm through Weka 3.6. As results, social economic status factors of input attributes were ranked higher than health-related factors. Additionally, prediction model using decision tree algorithm showed finally the highest accuracy. This study suggests that, first of all, prevention and management of metabolic syndrome will be approached by aspect of social economic status and health-related factors. Also, decision tree algorithms known from other research are useful in the field of public health due to their usefulness of interpretation.

• Journal of Cadastre & Land InformatiX
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• v.52 no.1
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• pp.105-118
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• 2022

The demand for information related to 3D spatial objects model in metaverse, smart cities, digital twins, autonomous vehicles, urban air mobility will be increased. 3D model construction for spatial objects is possible with various equipments such as satellite-, aerial-, ground platforms and technologies such as modeling, artificial intelligence, image matching. However, it is not easy to quickly detect and convert spatial objects that need updating. In this study, based on spatial information (features) and attributes, using matching elements such as address code, number of floors, building name, and area, the converged building DB and the detected building DB are constructed. Both to support above and to verify the suitability of object selection that needs to be updated, one system prototype was developed. When constructing the converged building DB, the convergence of spatial information and attributes was impossible or failed in some buildings, and the matching rate was low at about 80%. It is believed that this is due to omitting of attributes about many building objects, especially in the pilot test area. This system prototype will support the establishment of an efficient drone shooting plan for the rapid update of 3D spatial objects, thereby preventing duplication and unnecessary construction of spatial objects, thereby greatly contributing to object improvement and cost reduction.

• Culinary science and hospitality research
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• v.18 no.4
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• pp.166-182
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• 2012

The purpose of this study is to examine the influence of LOHAS images of Japanese restaurants on customers' menu selection and satisfaction to provide useful information on proposing detailed marketing directions by deriving the importance and satisfaction factors of LOHAS images and to suggest practical and effective measures for using LOHAS images to improve menus at Japanese restaurants. The results of the study are as follows. First, as a result of examining hypothesis 1, "LOHAS images will influence essential factors," it was found that healthy ingredient, family-oriented, eco-friendly, sustainability, and energy-saving factors were influential. With greater family-oriented, sustainability, healthy ingredient, and eco-friendly factors in LOHAS image, interests in essential factors increased. Second, family-oriented, energy-saving, social-oriented, and sustainability factors in LOHAS image had a significantly positive impact on the environmental factors of menu. Third, eco-friendly, sustainability, family-oriented, energy-saving, healthy preparation, and healthy ingredient factors in LOHAS image had a significantly positive impact on customer satisfaction. Fourth, essential factors in the selection attributes of Japanese restaurant menu had a significantly positive impact on customer satisfaction. Fifth, environmental factors in Japanese restaurants had a significantly positive impact on customer satisfaction. The significance and limitation of this study are: first, Japanese restaurants would be able to build a better image with customers by providing menu items that are family-oriented, sustainable, and energy-saving. Second, it would be necessary to study how LOHAS factors influence customers' general purchase decisions and psychological factors.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.3
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• pp.33-48
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• 2018

The purposes of this study were to investigate the social instrumentality of appearance, appearance orientation, and cosmetics purchasing behaviors of Chinese male consumers, and to find differences in the cosmetics purchasing behaviors of the male consumer groups, which were segmented by the social instrumentality of appearance and appearance orientation. The subjects were 400 adult males in their 20s to 30s from Gillim province in China. The measurements consisted of the social instrumentality of appearance, appearance orientation, cosmetics purchasing behavior, and the subject' demographic attributes. The data was analyzed by descriptive statistics, frequency analysis, $x^2$ test, multiple response analysis, cluster analysis, ANOVA, and Duncan's multiple range test, using SPSS program. The results were as follows. First, young Chinese male consumers had a high sense of the social instrumentality of appearance, but the tendency to invest time and effort to enhance their looks was still low. Second, on the basis of the social instrumentality of appearance and appearance orientation, young Chinese male consumers were classified into four groups (high involvement group, instrumentality group, orientation group, and low involvement group). Third, the four male consumer groups revealed many significant differences in various cosmetic purchasing behaviors (purchasing items, information sources, product selection criteria, purchasing motives, purchasing locations, store selection criteria, purchasing price, purchasing frequency, and cosmetics improvements). Therefore, the social instrumentality of appearance and appearance orientation are seen as significant variables to effectively segment the Chinese male consumer market. The cosmetics companies targeting young Chinese men need to establish differentiated marketing strategies, considering the characteristics of each segment of the consumer market.

• Journal of Distribution Science
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• v.7 no.1
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• pp.71-90
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• 2009

Recently, highway service becomes a very important service in highways. Highway service is considered as a positive interaction method between highway service companies and customers. From this perspective, this study was to investigate the relationships between influencing factors of highway service and user satisfaction. And, this research was to examine the differences between importance and performance of highway service factors using IPA (Importance-Performance Analysis). The result of this study has categorised the 22 highway service attributes into seven highway service selection factors: food, culture, kindness and health, products, large space, employee and Phone, facility. Using IPA, this study has compared the importance and performance of highway service selection factors, as perceived highway service customers. The empirical findings suggest that strategic framework using IPA gives guidelines that improve effectiveness of highway service.

• The Korean Journal of Franchise Management
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• v.10 no.1
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• pp.19-32
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• 2019

Purpose - Since the opening of Korea's distribution market, the domestic network marketing market has been continuing to grow. In this context, research on network marketing independent operators, which plays the most important role in the network marketing industry, is insufficient. This study was to identify the effects of Independent Operator's Company Selection Attributions on the Economic and Non-Economic Satisfaction, Trust, and Recommendation. The results will provide strategic direction, theoretical and practical implications for companies and operators in the network marketing industry. Research design, data, and methodology - In order to verify the research hypotheses, the data were collected from Independent Operators of Network marketing industry using questionnaires. The pretest was conducted from January 8 to 19, 2018, and the main survey was conducted from February 1 to 28. A total of 210 questionnaires, of which 193 copies were collected. The data were analyzed with SPSS 21.0. and AMOS 21.0. Results - The results are as follows; product competitiveness and system competitiveness have significant effects on economic satisfaction and non-economic satisfaction. Economic and non-economic satisfaction have significant effects on business trust. Economic and non-economic satisfaction did not influence recommendation intention directly, but influence it indirectly. Business trust has a significant effect on business recommendation intention. Conclusions - After starting network marketing business as an independent operator, the competitiveness of the company is meaningless, and product competitiveness and system competitiveness are important factors for economic and non-economic satisfaction. Therefore, network marketing companies and independent operators should prioritize product competitiveness and system competitiveness between business development. The findings show that trust in the business is very important for active business Recommendation to others. Therefore, network marketing firms and independent operators need to make efforts to meet economic and non-economic satisfaction, which have a significant impact on business trust.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.173-198
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• 2020

For a long time, many studies have been conducted on predicting the success of campaigns for customers in academia, and prediction models applying various techniques are still being studied. Recently, as campaign channels have been expanded in various ways due to the rapid revitalization of online, various types of campaigns are being carried out by companies at a level that cannot be compared to the past. However, customers tend to perceive it as spam as the fatigue of campaigns due to duplicate exposure increases. Also, from a corporate standpoint, there is a problem that the effectiveness of the campaign itself is decreasing, such as increasing the cost of investing in the campaign, which leads to the low actual campaign success rate. Accordingly, various studies are ongoing to improve the effectiveness of the campaign in practice. This campaign system has the ultimate purpose to increase the success rate of various campaigns by collecting and analyzing various data related to customers and using them for campaigns. In particular, recent attempts to make various predictions related to the response of campaigns using machine learning have been made. It is very important to select appropriate features due to the various features of campaign data. If all of the input data are used in the process of classifying a large amount of data, it takes a lot of learning time as the classification class expands, so the minimum input data set must be extracted and used from the entire data. In addition, when a trained model is generated by using too many features, prediction accuracy may be degraded due to overfitting or correlation between features. Therefore, in order to improve accuracy, a feature selection technique that removes features close to noise should be applied, and feature selection is a necessary process in order to analyze a high-dimensional data set. Among the greedy algorithms, SFS (Sequential Forward Selection), SBS (Sequential Backward Selection), SFFS (Sequential Floating Forward Selection), etc. are widely used as traditional feature selection techniques. It is also true that if there are many risks and many features, there is a limitation in that the performance for classification prediction is poor and it takes a lot of learning time. Therefore, in this study, we propose an improved feature selection algorithm to enhance the effectiveness of the existing campaign. The purpose of this study is to improve the existing SFFS sequential method in the process of searching for feature subsets that are the basis for improving machine learning model performance using statistical characteristics of the data to be processed in the campaign system. Through this, features that have a lot of influence on performance are first derived, features that have a negative effect are removed, and then the sequential method is applied to increase the efficiency for search performance and to apply an improved algorithm to enable generalized prediction. Through this, it was confirmed that the proposed model showed better search and prediction performance than the traditional greed algorithm. Compared with the original data set, greed algorithm, genetic algorithm (GA), and recursive feature elimination (RFE), the campaign success prediction was higher. In addition, when performing campaign success prediction, the improved feature selection algorithm was found to be helpful in analyzing and interpreting the prediction results by providing the importance of the derived features. This is important features such as age, customer rating, and sales, which were previously known statistically. Unlike the previous campaign planners, features such as the combined product name, average 3-month data consumption rate, and the last 3-month wireless data usage were unexpectedly selected as important features for the campaign response, which they rarely used to select campaign targets. It was confirmed that base attributes can also be very important features depending on the type of campaign. Through this, it is possible to analyze and understand the important characteristics of each campaign type.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.4
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• pp.529-540
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• 1999

The purpose of this study is examine how price attitude and risk perception affect6 consumer's attitude to clothing discount stores. As for the methods of the research 313 female consumers who just finished shopping at discount stores were interviewed and questioned. The result is as the following. 1. The factors such as discount price inclination effective value inclination price-quality association and price-social grade association in the price attitude as well as social psychological risk and the risk of losing opportunity in the risk perception affected consumer's attitude to clothing discount store. 2. The domestic national brand discount store acquired the highest scores in all factors but discount inclination factor and low price inclination factor. No difference was seen between stores in terms of the risk perception. 3. The determining factors for repurchase intention were found to be store satisfaction and the attitude to clothing discount store. 4. The convenience of transportation the availability of exchange or repair the payment option the quality of the product and the attributes of the store e, g, good quality with relatively low price affected the store satisfaction. 5. Domestic national brand discount store showed higher score in 'good quality with relatively low price' than domestic casual brand discount store did. And difference between groups was found in repurchase intention, Conclusively most consumers using clothing discount stores are effective value-oriented.

• Journal of the Korean Society of Food Culture
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• v.26 no.6
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• pp.614-620
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• 2011

This study attempted to identify differences in Korean food consumption behaviors between groups of Japanese consumers segmented in accordance to their food-related lifestyles. This study was performed to provide Korean food service companies basic information to implement a strategy for the globalization of Korean food. As a result of the empirical analysis, the food-related lifestyles of Japanese consumers were deduced to the following four factors: "health and safetyoriented lifestyle", "palate and safety-oriented lifestyle", "economic efficiency-oriented lifestyle", and "simplicity-oriented lifestyle". Further, as a result of the cluster analysis, food-related lifestyles were classified into the following three groups: "a group highly interested in food-related life", "an economic efficiency-oriented group", and "a simplicity-oriented group". Second, there were significant differences in demographic characteristics and the characteristics of Korean food consumption behaviors between the groups. Third, also in a comparison of satisfaction with and loyalty to Korean restaurants with crucial attributes during the selection of Korean food, there were significant differences between the groups. Therefore, it is necessary to develop various Korean food products that will cater to Japanese consumers in accordance with each segmented group.