• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.149-150
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• 2015

Today, rapid evolution of information communication technology occurring in Korea has extensive influence on our daily life, and increasing awareness about the user experience. As the connected Internet information systems increases, one of the problems happening between users and information systems such as Internet shopping-malls, portal sites, and corporate web sites is related with the information privacy concerns issues. In this research, we aim to analyze factors influencing of the invasion of privacy on intention to use in e-commerce environment. Based on these findings, several theoretical and practical implications were suggested and discussed. Thus, we have reviewed extensive previous studies on information privacy in local and foreign information systems, marketing and other fields. The purpose of this study is to provide future directions of studies on information privacy concerns by analyzing past and recent trends of the studies.

• International Commerce and Information Review
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• v.12 no.2
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• pp.291-322
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• 2010

Many companies make active use of loyalty programs to improve their customers' loyalty to the company. Loyalty programs are widely used in various industries and sectors, including oil, telecommunications, credit card, department stores, and internet shopping malls; their performance seems to be successful in building a positive relationship with customers. This study emphasizes the role of affiliate programs in creating loyalty, thereby helping companies to maintain their competitive advantage. To objectives of this study are to investigate which antecedent variables(affiliate program benefit, service company characteristic , consumer characteristic) have significant effects on consumer perceived affiliate program satisfaction and to examine whether these factors have differences between Korean and Japanese consumers. The useful results will provide marketing strategy for marketers of service companies. The results also show that affiliate program is very important in order to maintain relationship with customers in service companies.

• Journal of Fashion Business
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• v.14 no.5
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• pp.176-194
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• 2010

According to the economy recession of U.S.A and Europe, the value of China market has been increased. Therefore the in-depth studies were essential for the companies and brands which look for new rising market. This study typed Chinese consumers by lifestyle and analyze the demographics and clothing purchasing behavior. The result of the internet survey which was carried out targeting Shanghai residents, established several consumer types of men and women respectively. In case of male consumers, established 4 groups like indifferent to advertising/brand group, seriously considering brand/health group, seriously considering leisure group, and seriously considering education group. In case of female consumers, established 3 groups like seriously considering education/food group, seriously considering housing/leisure group, and seriously considering shopping group. These groups were showed significant differences to demographics and clothing purchasing behavior. These characteristics about the groups must be reflected to marketing and merchandising strategies.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.220-230
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• 2005

The purpose of this study was to compare clothing benefits and the types of fashion information sources according to family life cycle. Subjects were selected through stratified sampling technique in Seoul and suburban area. Collection of the research data was made using a self-administered questionnaire survey. Factor analysis, ANOVA, and Duncan test were used to conduct the data analysis on 562 out of 600 questionnaires. Clothing benefit variables were reduced to five factors : fashion/social status, individuality, function/comfort, figure flaws compensation, and economic value. The result showed significant differences on 3 clothing benefits(fashion/social status, individuality, and function/comfort) and 5 fashion information soures (celebrities, street fashion, T.V commercial, Internet/home shopping, fashion catalog) according to family life cycle.

• Journal of Distribution Science
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• v.14 no.1
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• pp.67-74
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• 2016

Purpose - In this paper, the degree of similarity and dissimilarity between pairs of 50 major cities in China can be shown on the basis of three evaluation variables(internet businessman index, internet shopping index and e-commerce development index). Dissimilarity distance matrix is used to analyze both similarity and dissimilarity between each fifty city in China by calculating dissimilarity as distance. Higher value signifies higher degree of dissimilarity between two cities. Cluster analysis is exploited to classify 50 cities into a number of different groups such that similar cities are placed in the same group. In addition, multidimensional scaling(MDS) technique can obtain visual representation for exploring the pattern of proximities among 50 major cities in China based on three development performance attributes. Research design, data, and methodology - This research is performed by the 2013 report provided with AliResearch in China(1/1/2013~11/30/2013) and utilized multivariate methods such as dissimilarity distance matrix, cluster analysis and MDS by using CLUSTER, KMEANS, PROXIMITIES and ALSCAL procedures in SPSS 21.0. Results - This research applies two types of cluster analysis and MDS on three development performances based on the 2013 report of Aliresearch. As a result, it is confirmed that grouping is possible by categorizing the types into four clusters which share similar characteristics. MDS is exploited to carry out positioning of both grouped locations of cluster and 50 major cities belonging to each cluster. Since all the values corresponding to Shenzhen, Guangzhou and Hangzhou(which belong to cluster 1 among 50 major cities) are very large, these cities are superior to other cities in all three evaluation attributes. Twelve cities(Beijing, ShangHai, Jinghua, ZhuHai, XiaMen, SuZhou, NanJing, DongWan, ZhangShan, JiaXing, NingBo and FoShan), which belong to cluster 3, are inferior to those of cluster 1 in terms of all three attributes, but they can be expected to be the next e-commerce revolution. The rest of major cities, in particular, which belong to cluster 4 are relatively inferior in all three attributes, so that this automatically evokes creative innovation, which leads to e-commerce development as a whole in China. In terms of internet businessman index, on the other hand, Tainan, Taizhong, and Gaoxiong(which belong to cluster 2) are situated superior to others. However, these three cities are inferior to others in an internet shopping index sense. The rest of major cities, in particular, which belong to cluster 4 are relatively inferior in all three evaluation attributes, so that this automatically evokes innovation and entrepreneurship, which leads to e-commerce development as a whole in China. Conclusions - This study suggests the implications to help e-governmental officers and companies make strategies in both Korea and China. This is expected to give some useful information in understanding the recent situation of e-commerce in China, by looking over development performances of 50 major cities. Therefore, we should develop marketing, branding and communication relevant to online Chinese consumers. One of these efforts will be incentives like loyalty points and coupons that can encourage consumers and building in-house logistics networks.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.137-153
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• 2003

Comparison shopping is the most popular functionality in the e-Marketplace. Most of their revenue has been generated kent the Internet advertisement, but the ad earning was declined as the ad costing per action method widespread. Seller less familiar to the customer shrinks from chances for advertising and exposing their products. So, we need an efficient methodology subject to the seller's ad budget and other constraints, and it also has to increase comparison broker's earning in the e-Marketplace. Our research proposed and developed an ad planning methodology using comparison challenge approach which can be applied by 3$^{rd}$ party comparison brokers. Comparison challenge planning is organized with challenge policy of competitor level, product level and specification level. With that policies and basic challenge propositions, we measure the quantified value of functional distance between the specifications of my product and competitor's product. My product challenges the comparison using the comparative ad format to the similar but inferior competitor's product based on quantified valuation. Comparison challenge planning system has two phases of comparative value generation and optimization. We developed a prototype system and applied it to the desktop PC market of five major manufacturers. Our performance was emphasized by comparing to other comparative ad methods such as random display method and minimum distance method..

• Journal of Distribution Science
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• v.15 no.6
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• pp.77-96
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• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.27-37
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• 2022

Purpose: The purpose of this study is to derive various ways to realize customer satisfaction for the development of the service industry by exploring research trends related to customer satisfaction, which is presented as an important goal in the service industry. Research design, data and methodology: To this end, 1,456 papers with English abstracts using scienceON were used for analysis. Using Python 3.7, word frequency and co-occurrence analysis were confirmed, and topics related to research trends were classified through BERTopic and LDA. Results: As a result of word frequency and co-occurrence frequency analysis, words such as quality, intention, and loyalty appeared frequently. As a result of BERTopic and LDA, 11 topics such as 'catering service' and 'brand justice' were derived. As a result of trend analysis, it was confirmed that 'brand justice' and 'internet shopping' are emerging as relatively important research topics, but CRM is less interested. Conclusions: The results of this study showed that the 7P marketing strategy is working to some extent. Therefore, it is proposed to conduct research related to acquisition of good customers through service price, customer lifetime value application, and customer segmentation that are expected to be needed for the development of the service industry.

• The Journal of Society for e-Business Studies
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• v.16 no.3
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• pp.191-209
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• 2011

In a buyer-seller transaction process, 'value for money,' a measure of quality-price-ratio, is one of the most important criteria for buyers' purchasing decisions. The purpose of this paper is to suggest a method which helps online shoppers choose the best of several sellers offering homogeneous goods. We suggest FDH (free disposal hull) model, an applied model of data envelopment analysis (DEA), for online buyer-seller transactions and verify it with the data from an Internet comparison shopping site. For this purpose, we analyze consumer choice behaviors by examining how consumers respond to different sale conditions such as price, brand, or delivery time. Then, we implement a seller recommendation system to support buyers' purchasing decisions. We expect our FDH model to provide valuable information for rational buyers who want to pay the least price for high quality products/services and to be used in implementing automated evaluation processes in micro transactions. Moreover, we expect that our results can be utilized for sellers' benchmarking strategies which help sellers be more competitive by showing them how to attract buyers.

• Korean Institute of Interior Design Journal
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• no.37
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• pp.129-135
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• 2003

Currently, obtaining information about the interior design studies through the internet web sites is one of the outstanding mediums. Those are of the housings, architecture, interior design, furniture products, hotels and its journals, etc., and out of all those informations are the highly expected value of use. This study focuses on web-site uses in the interior designs' business. To process the study, a two-step research was executed; The step 1 was to find out the current status of web-sites by asking the each panelist to submit the monitored results after having searched and tested for more than two sites that was executed during the October, 2001. The analysis was made with the 47 sample sites selected from the monitored sites. And the step 2 was to find out the contents and evaluation factors of web-sites related the interior design. The results of the study are summarized as follows: First, the monitored Intoner design related 25 web-sites were classified into 3 groups. One group of 13 sites is identified as a remodeling/construction works, and one another with 7 sites is as shopping site, and the other with 5 sites is as a professional portal site. Second, the evaluation has been implemented which has shown 5 variables on the information searches are $\circled1$ the diversities of contents, $\circled2$ the accuracy/reliability of techniques, $\circled3$ the design of a picture and communication, $\circled4$ the convenience of link, and $\circled5$ the originality of web-site This study will provide the users with a fundamental material in evaluating the quality of interior design information on the internet web sites.