• Korean Institute of Interior Design Journal
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• v.23 no.4
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• pp.23-31
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• 2014

In this study, in order to analyze customers' space satisfaction, ten modern high-class Korean restaurants, five in New York and another five in Seoul, that were opened or remodeled after 2008 were selected and satisfaction characteristics survey of 197 customers who use these Korean restaurants was conducted by using Likert 5-point scale. The study results(a high reliability was obtained showing the Cronbach's alpha coefficient of average 0.895 for all questions) were analyzed for the frequency, percentage, mean, etc. and the mean between groups were comparatively analyzed by conducting the t-test, Duncan's test by using the SPSS 18.0 statistical program. The results are as follows. First, the results of customers general characteristic comparative analysis, all the Seoul and New York customers have comparatively high academic ability, high income and eating-out expenses. The main customers in Seoul were the women in their thirties and forties while those in New York were mainly in their forties and fifties both men and women at similar rate. Second, as to the satisfaction with the interior, the satisfaction with finishing materials was little higher in New York as Seoul (3.30 points) and New York (3.86 points). The satisfaction with color was relatively higher in Seoul (3.66 points) and relatively lower in New York (3.18 points). As the satisfaction with furniture and decorating accessories was relatively lower in both Seoul (3.10 points) and New York (3.48 points). The satisfaction with space size in Seoul (the total space size: 3.99 points, private space size; 3.90 points) was relatively higher than that in New York (the total space size: 3.46 points, private space size; 3.28 points). The satisfaction with interior and exterior in both Seoul (exterior: 3.63 points, interior: 3.40 points) and New York (exterior: 3.28 points, interior: 3.39 points) were average. For the satisfaction of environment, Seoul (3.42 points) was slightly lower than that of New York (3.56 points). Third, the result of customers' satisfaction in Seoul and New York showed no commonality. Therefore in order to be renewed as the Korean restaurants with high customer satisfaction, it is expected that the Korean restaurants located in Seoul and New York need to plan the space by considering their customers' characteristics and satisfactions.

• The Journal of Information Systems
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• v.26 no.4
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• pp.17-37
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• 2017

Purpose Customer Loyalty is the most important factor of customer relationship management (CRM). Especially in retailing industry, where customers have many options of where to spend their money. Classifying loyal customers through customers' data can help retailing companies build more efficient marketing strategies and gain competitive advantages. This study aims to construct classification models of distinguishing the loyal customers within a Korean retailing company using data mining techniques with R language. Design/methodology/approach In order to classify retailing customers, we used combination of support vector machines (SVMs) and other classification algorithms of machine learning (ML) with the support of recursive feature elimination (RFE). In particular, we first clean the dataset to remove outlier and impute the missing value. Then we used a RFE framework for electing most significant predictors. Finally, we construct models with classification algorithms, tune the best parameters and compare the performances among them. Findings The results reveal that ML classification techniques can work well with CRM data in Korean retailing industry. Moreover, customer loyalty is impacted by not only unique factor such as net promoter score but also other purchase habits such as expensive goods preferring or multi-branch visiting and so on. We also prove that with retailing customer's dataset the model constructed by SVMs algorithm has given better performance than others. We expect that the models in this study can be used by other retailing companies to classify their customers, then they can focus on giving services to these potential vip group. We also hope that the results of this ML algorithm using R language could be useful to other researchers for selecting appropriate ML algorithms.

• International Journal of Quality Innovation
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• v.9 no.1
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• pp.181-187
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• 2008

Every company tries to know who the best and idealistic customers are and how to identify them by use of the special methods. To solve this problem the diamond model of customer stratification, which is the conceptual model, is introduced in this research. We modified the customer stratification model developed by Narayanan et al. (2007). By use of this model we can find out the most profitable customers and then we can plan to improve the profitability of the rest customer groups.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1702-1716
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• 2015

Customer product reviews have become great influencers of purchase decision making. To assist potential customers, online stores provide various ways to sort customer reviews. Different methods have been developed to identify and recommend useful reviews to customers, primarily using feedback provided by customers about the helpfulness of reviews. Most of the methods consider the preferences of all users to determine whether reviews are helpful, and all users receive the same recommendations.

• Asia Marketing Journal
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• v.4 no.2
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• pp.1-25
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• 2002

This study tested major determinants of customer satisfaction and loyalty by varying degrees of customers' knowledge level. Also, authors investigated the degrees of those impacts by classifying industries into two groups(service/manufacturing). Based on 4,000 completed surveys from five major cities, authors found the relationship among perceived quality, perceived value, and corporate image with customer satisfaction and customer loyalty. As a result, corporate image(extrinsic cue) was a major determinant to customers who are low knowledgeable and impacts of corporate image on customer satisfaction was stronger in service industry than manufacturing industry.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.4
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• pp.85-95
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• 2014

In the e-commerce, the conversion into the multi-media is the important issue. According to the research by Nielsen Korea, the 83% of customers who purchase the products in the e-commerce utilize multi-channel to buy the products such as mobile and online [3]. Thus, to effectively implement online advertising, marketers should understand the customers' path [15] in the multi-channel. The study of the multi-site activities plays an important role to predict customers' purchase [28]. To explain the e-commerce site visit activities of customers, we have developed research model in terms of the online advertising. This research model is based on the study of Moe and Fader [23]. There are two types of composition in the research model. First, general site visit as an exploratory search have net effect on the shopping site visit because customers could acquire or develop information on the e-commerce site via online advertising. Secondly, the e-commerce site visit as a goal-directed search cause threshold of the e-commerce site visit because customers could achieve their goal. When the threshold is increased, the probability of a shopping site visit is decreased and vice versa. Thus, we have investigated the impact of customers' previous visit activities (general site visit and shopping site visit) on the next e-commerce site visit in terms of dynamic view. Research data was provided by Cheil World Wide. This panel data include mobile and online log data of panelists from Jan. 2013 to March 2013. As the results, the customers' e-commerce site visit on the online media would decrease the probability of e-commerce site visit because these visit activities increase the threshold of e-commerce site visit. This result is similar with the previous study [23]. Otherwise, since e-commerce site visit on the mobile media decrease the threshold, the customers' probability of e-commerce site visit would increase In summary, the site visit activities on the mobile could improve the probability of e-commerce site visits.

• Korean Institute of Interior Design Journal
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• v.26 no.1
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• pp.33-42
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• 2017

Interior design especially the design developments for commercial spaces should ensure the economy of spaces. This is the marketing for space. It is necessary to understand the design elements of commercial space for the efficient using of digital media of space marketing. In this research decided to design application schemes for shopping mall by searching fashion shopping behaviors of users with persona-base scenario approach. Collected the information of users behavior base on case analysis of advance research to make personas. And develop scenario base personas for knowing the needs of users. And then made 4 schemes as the solution. Scheme 1. Customers can get the information and communication with the staff through with media screen in one room of shopping mall. The data of customers can be recorded for providing information or product recommendation personality. Forecast to preferred by group trip or customers that don't like walking around in shopping mall. Scheme 2. Install a media screen at entrance of a store in shopping mall and show special effect to raise customers' attention who walk through from the front of the store. Through with this customers will stay for long time and raise curiosity to get in the store. And the media screen also provide information of store and products. Scheme 3. Customers can get the information of products with using smart phone to scan QR cord in labels of products and record. Customers can finish whole shopping behaviors without the help of store staff. And can make buying decision even have left shopping mall as a online mode. Scheme 4. Store managers can record the products and the environment of store with 360 camera and update to website. Then customers can browse the virtual space with VR glasses. That make customers can have the real shopping experience without being in the store. In this study, have presented schemes of digital media in commercial space. But there are various of commercial space. In this study was presented schemes for shopping mall by searching fashion shopping behaviors of users. And look forward the researches about specific space setting and other type of commercial space for space development.

• CRM연구
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• v.3 no.1
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• pp.19-28
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• 2010

Recently, teenagers show big purchasing power in retail industry. Online shopping malls re also in similar situation. Therefore online shopping mall companies want to manage teenager customers properly. This study is about understanding current status of teenager customers in online shopping mall industry and deriving strategy for management of teenager customers based on the status. Successful CRM for teenager customers can be achieved by building a segmentation of customers along with their behaviors and needs. Each segment should be managed by proper communication plan which is differentiated in accordance with segment characteristics.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.333-336
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• 2003

The purpose of this study is to analyze the customer's demands to domestic customized apartments. The research method involves a survey on occupants and potential customers of customized apartments. The results of this study are as follows: 1) Customers' first request to customized apartments is investigated to be various option of space and finish materials. 2) In case of finish materials, customers are investigated to want a selection range of $4\~6$ for their customized apartments.

• The Korean Journal of Health Service Management
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• v.9 no.2
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• pp.1-12
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• 2015

The objective of this study was to verify the effects of brand equity of small & medium hospitals on trust and relationship commitment and mediation effect of trust in the relation between brand equity and relationship commitment. For testing reliability and validity of the measurement tool, Cronbach's ${\alpha}$ and confirmatory factor analysis was used, respectively. A structural equation model was applied for verifying the study model suggested. Out of 450 questionnaires distributed, 439 was returned. On the study results, brand image and perceived quality positively determined trust of customers for small & medium hospitals. Customers' trust also has a positive effect on relationship commitment. Brand awareness positively influence the levels of relationship commitment. Moreover, a mediation effect was identified. Customers' trust mediated the effects of brand image and perceived quality on relationship commitment of hospitals customers. On conclusions, relationship commitment was determined, either directly or indirectly, by brand image and perceived quality, while trust mediated the their relationship. Thus, hospitals management may use the concepts of brand equity and trust as a key success factor of their business purposes.