• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3966-3991
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• 2018

Due to the lack of visualization services and organic combinations between public and private buildings data, the usability of the basic map has remained low. To address this issue, this paper reports on a solution that organically combines public and private data while providing visualization services to general users. For this purpose, factors that can affect building prices first were examined in order to define the related data attributes. To extract the relevant data attributes, this paper presents a method of acquiring public information data and real estate-related information, as provided by private real estate portal sites. The paper also proposes a pretreatment process required for intelligent machine learning. This report goes on to suggest an intelligent machine learning algorithm that predicts buildings' value pricing and future value by using big data regarding buildings' spatial information, as acquired from a database containing building value attributes. The algorithm's availability was tested by establishing a prototype targeting pilot areas, including Suwon, Anyang, and Gunpo in South Korea. Finally, a prototype visualization solution was developed in order to allow general users to effectively use buildings' value ranking and value pricing, as predicted by intelligent machine learning.

• International Commerce and Information Review
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• v.18 no.4
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• pp.55-78
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• 2016

In this study, service quality attributes of uTradeHub were classified based on the Kano model, and quality attributes that should be managed in priority to improve the service quality of uTradeHub were investigated using Timko's customer satisfaction coefficient(CSC) and average satisfaction coefficient(ASC). The results of the study are summarized as follows. First, as a result of classifying service quality attributes based on Kano model, 12 one dimensional qualities, 5 must-be qualities, 2 indifferent qualities were deducted, and many quality attributes of uTradeHub service were confirmed to be one dimensional quality to which is needed to be paid attention and paid more detailed attention to enhance service quality. Second, in the analysis result using Timko's customer satisfaction coefficient, "post processing for problems and complaints", "cost reduction", "efficiency of business processing" were ranked in the top of satisfaction coefficient, and they found to be quality attributes that customer satisfaction increases when service quality was satisfied. While, "post processing for problems and complaints", "interaction", "ability to respond promptly when problems occur" were ranked in the top of unsatisfaction coefficient, and they were analysed to be quality attributes that customer complaints increase when service quality was unsatisfied. Third, in the result of analyzing the quality attributes that should be managed in priority to improve the service quality of uTradeHub based on the average satisfaction coefficient(ASC), "post processing for problems and complaints", "cost reduction", "useful information" were ranked in the top 3, and they were classified as quality attributes that the satisfaction level increases more when they are improved than now, but the satisfaction level decreases when they are worsen.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.4
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• pp.476-487
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• 2011

This study investigates the effects of internet shopping malls attributes on purchase satisfaction, repurchase intention, and word of mouth intention of fashion consumers. Data were collected from 400 consumers who purchased fashion products through internet shopping malls for the last 3 months. The survey was conducted from August $6^{th}$ 2010 to September $20^{th}$ 2010. A factor analysis identified 7 dimensions of internet shopping mall attributes: (1) interactivity, (2) website appearance, (3) sales promotion, (4) trust, (5) transaction capability, (6) fashion products variety, and (7) information offerings. The results show that all the dimensions of the internet shopping mall attributes affect purchase satisfaction, repurchase intention, and word of mouth intention. In addition, there were significant differences in the perceived attributes among three different types of internet shopping malls; comprehensive mall, fashion specialty malls, and online market-places (open-markets). While, there was no significant impact on the purchase satisfaction, repurchase intention, and word of mouth intention by the e-tailer types.

• International Journal of Quality Innovation
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• v.10 no.2
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• pp.109-126
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• 2009

The purpose of this study was to examine overall customer satisfaction associated with medical service quality in Taiwan by integrated Kano's model and customer satisfaction index model. Another purpose was to confirmed nonlinear and asymmetric relationship of Customer Satisfaction and Quality Performance by the research outcome. By analyzing 1,100 patients or their family members, this study used the structural equation model (SEM) with AMOS software for data analysis. The results show that must-be attributes, one-dimensional attributes and attractive attributes had a direct effect on overall customer satisfaction, Surprisingly, overall customer satisfaction had positively influenced customer loyalty customer satisfaction had negatively influenced customer complaints. The study also found that customer complaints have direct effect on customer loyalty. Importantly, the study found out the must-be attributes, the attractive attributes and one-dimensional attributes increased, the level of overall customer satisfaction also increased. The customer satisfaction positively influences customer loyalty in medical service quality in Taiwan. The findings might reveal new insights for researchers dealing with quality of medical service and for hospital managers who devote resources exclusively to achieving highest possible levels of patient satisfaction.

• Fashion & Textile Research Journal
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• v.17 no.3
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• pp.372-381
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• 2015

This study investigates differences in fashion products attributes, mobile shopping mall attributes, impulse buying behavior, and satisfaction according to mobile shoppingconsumption value. The findings provide new information on marketing strategy for mobile shopping malls. A total of 283 usable questionnaires were obtained from college students. Data were analyzed by frequency analysis, factor analysis, and ANOVA using SPSS 21.0 for Windows. The results were as follows. First, according to the consumption value, consumer were classified into 3 groups: social/functional oriented, indifference and epistemic/emotional oriented. Second, the conspicuous-functional pursuit group considered utility and exhibition more important in regards to fashion products attributes for the consumption value group, the personality pursuit group also considered aesthetics and utility more important than other groups. Third, conspicuous-functional pursuit group considered continuous management more importantin regards to the importance ofmobile shopping mall attributes for the consumption value group, the personality pursuit group considered informationexchange more important than the other groups. Fourth, the conspicuous-functional pursuit group and Personality pursuit group considered impulse purchase behavior more important than the emotionalpursuit group. The conspicuous-functional pursuit group considered satisfaction after impulse purchase behavior more important than other groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.765-774
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• 2010

This study investigates the effects of consumer innovativeness on e-loyalty mediated by shopping mall attributes and consumer satisfaction with the Internet. Data were obtained from 243 consumers who had bought fashion products through online shopping. Data were analyzed by using factor analysis, Cronbach's alpha, and path analysis using LISREL 8.53 program. The results of this study suggest that the consumer innovativeness, such as Internet-innovativeness and Fashion-innovativeness affect shopping mall attributes including Loading, Visual, Information, Variety, and Price/Fashion. These attributes and the shopping mall satisfaction partially mediated the impact of consumer innovativeness on e-loyalty of shopping malls through the Internet. Especially, consumer satisfaction was the most important determinant to build up e-loyalty for the online shopping of fashion products. The findings provide implications for e-retailers to develop strategies related to consumer innovativeness, shopping mall attributes, and the e-loyalty of shopping malls for fashion products.

• Journal of the Korean Society of Food Culture
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• v.19 no.5
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• pp.532-543
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• 2004

The purpose of this study was to investigate three different perceptions based on major 23 part planning attributes. These party planning attributes were categorized using exploratory factor analysis. Three groups of respondents were identified based on the sample data; the first group is a group of people experienced parties before, the second group is a group of people intended to attend parties in near future, and the third group is a group of people who want to be a party planner. Respondents participated in this study express their own perceptions on party-planning attributes. The study shows that the perceptions of respondents were significantly different from each other. Particularly, prospective party planners emphasize on artistic attributes, such as harmony between dishes and foods or between the party concept and foods. However, party attendees more importantly considered other attributes, including the event suitable to the party type, places held a party. The research suggests that understanding party attendees' perception will provide useful information to develop party events that can reflect customers' desires.

• Journal of the East Asian Society of Dietary Life
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• v.27 no.3
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• pp.243-256
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• 2017

This study attempted to improve frying powder products based on 272 consumers' purchase conditions. Factor analysis by type was conducted on purchase attributes of consumers who purchased frying powder by categorizing them based on five factors-namely, convenience, information, diversity, safety, and economy. Five main factors were divided into four purchase attributes named various pursuit, convenience pursuit, economical pursuit, and inform/safety pursuit. Purchasing status of frying powder products was analyzed according to three independent variables such as age, meal preparation type, and purchase attributes. The top motivation for using frying powder was convenience. According to the importance-satisfaction analysis survey, taste, expiration date, and certification mark were chosen as highly important and high satisfaction characteristics for frying powder (p<0.001), whereas nutrition, oil absorption, adhesiveness, crispiness, origin, and food additives were highly important and low satisfaction characteristics (p<0.001). In the conjoint analysis, crispiness was the most important attribute of fried food.

• Journal of Fashion Business
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• v.22 no.6
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• pp.53-69
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• 2018

In recent years, digital media providing entertainment and information have become an important channel of customer experience. The aim of this study is to evaluate the effects of digital signage's characteristics on flow and brand attitudes and to verify the mediating role of pleasure in digital signage and flow. The stimuli were developed for a sports brand stores using 3D and video editing software. The survey was conducted on 544 subjects from both gender aged 20 to 49 years old, i.e. the population that constitutes the major target group for sports brands. The data collected was analyzed using IBM SPSS 24.0. Specifically, frequency analysis, factor analysis, reliability analysis, t-test, and regression analysis were performed on the data. Based on the results, we can draw the following conclusions; First, the dimension of digital signage was classified into aesthetic and functional attributes. Additionally, we found out that women highly value aesthetic attributes of digital signage while the customers in their 40s pay more attention to functional attributes than their counterparts aged 20-30 years. Second, our results suggest that pleasure has a mediating effect in the relationship between digital signage attributes and flow; specifically, both sub-dimensions of digital signage features (aesthetic attributes and functional attributes) affect flow by means of pleasure. Third, our results demonstrated that the flow of digital signage had a significant impact on brand attitudes.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.273-294
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• 2012

Images have been substantially searched and used due to not only the advanced internet and digital technologies but the characteristics of a younger generation. The purpose of this study aims to discuss the ways on expanding the access points to images by analyzing the needs of users in context of everyday life. In order to achieve the purpose of this study, 105 questions of image seeking in NAVER, which is one of social Q&A services in Korea, were analyzed. For the analysis, a two-dimensional framework with image uses and image attributes were utilized. The findings of this study demonstrate that considerable use purposes on data oriented pole, such as information processing, information dissemination and learning are identified. On the other hand, image attributes from the needs of image show that non-visual aspects including contextual attributes are recognized substantially in addition to the traditional semantic attributes.