• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.236-247
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• 2016

Considering the prevalent use of mobile devices and the mobile Internet in Korea, there should be open doors for retailers to a different type of distribution if they could find out what makes consumers satisfied with m-commerce sites as well as what makes consumers purchase from m-commerce sites. Therefore, we explored: 1) the antecedents of satisfaction with m-commerce sites and 2) the determinants of purchasers vs. browsers of m-commerce. As possible antecedents of the two dependent variables, the following were utilized in the current study: the Technology Acceptance Model (TAM), perceived shopping values, and interactivity. According to the results of this study, these variables related to the performance of mobile commerce sites (Perceived ease of use, Perceived usefulness, Synchronicity, Richness of content, and Contextual services) significantly affected satisfaction with m-commerce sites. On the other hand, the most important discriminator of an m-commerce purchaser vs. a browser was human-oriented interactivity, especially interpersonal communication among users. With the help of information technology.

• Journal of Navigation and Port Research
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• v.37 no.2
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• pp.211-219
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• 2013

The purpose of this study is to find out how to improve tourism competitiveness of cruise harbours in Korea by analyzing tourism satisfaction level of international cruise visitors to Korea, who are increasing rapidly as Northeast Asian cruise tourism market is growing up. In this study we analyzed the factors of effects on tourism satisfaction level by Chinese visitors, Japanese visitors and English speaking visitors respectively based on the results of "International Cruise Visitor Survey 2012". The results of this study show that the individual satisfaction level of port of calling & tour schedule, immigration procedures, transportation, shopping influenced overall tourism satisfaction level by countries. It implied that those attributes should be reflected hereafter when we establish a marketing strategy for each of cruise cities. This study has a great significance in that those results suggest useful information when we make plans not only for activating cruise harbours but also for cruise tour marketing.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.325-345
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• 2023

In the rapidly evolving domain of e-commerce, our study presents a cohesive approach to enhance customer satisfaction prediction from online reviews, aligning methodological innovation with practical insights. We integrate the RFE-SHAP feature selection with LDA topic modeling to streamline predictive analytics in e-commerce. This integration facilitates the identification of key features-specifically, narrowing down from an initial set of 28 to an optimal subset of 14 features for the Random Forest algorithm. Our approach strategically mitigates the common issue of overfitting in models with an excess of features, leading to an improved accuracy rate of 84% in our Random Forest model. Central to our analysis is the understanding that certain aspects in review content, such as quality, fit, and durability, play a pivotal role in influencing customer satisfaction, especially in the clothing sector. We delve into explaining how each of these selected features impacts customer satisfaction, providing a comprehensive view of the elements most appreciated by customers. Our research makes significant contributions in two key areas. First, it enhances predictive modeling within the realm of e-commerce analytics by introducing a streamlined, feature-centric approach. This refinement in methodology not only bolsters the accuracy of customer satisfaction predictions but also sets a new standard for handling feature selection in predictive models. Second, the study provides actionable insights for e-commerce platforms, especially those in the clothing sector. By highlighting which aspects of customer reviews-like quality, fit, and durability-most influence satisfaction, we offer a strategic direction for businesses to tailor their products and services.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.12 s.138
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• pp.1632-1643
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• 2004

The competitiveness of the domestic cosmetics market will improve more rapidly when efficient market segmentation is secured, qualitative information about each of the segmented markets is gathered, and adequate marketing strategies to meet the demands of each segmented markets is established. Therefore, continuous studies are needed to secure qualitative information for market segmentation. In order to find out whether the domestic cosmetics market could be segmented according to consumers' shopping orientation, the present study analyzed cosmetics purchasing behavior, complaint behavior, and demographic characteristics of each consumer group classified according to their shopping orientation. The study was implemented by a normative-descriptive survey method using a questionnaire. Three groups of consumers were identified according to their shopping orientation: price-oriented group, information-oriented group, and brand-oriented group. It was confirmed that the groups, classified according to shopping orientation, have significantly different demographic, purchasing, and complaint behavior. Therefore, shopping orientation should be carefully considered in the segmentation of the cosmetics market.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.2 s.161
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• pp.300-307
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• 2007

The purpose of this study was to identify and to compare the internet service factors affecting shopping satisfaction and intention to return between total shopping sites and fashion specialty sites. Data were obtained from 208 men and women aged between 20-40 who used internet. Factor analysis, Multiple regression, chi square test and F test were applied. The results were as follows. First, there were some demographic differences between two site shoppers. Young, low-income, student consumers were more likely to visit fashion specialty site than older, high-income, non students were. Second, consumer satisfaction and revisit to the total shopping sites were influenced by site composition, purchasing convenience, and after-purchase service. For the fashion specialty sites, consumer satisfaction was affected by site composition and after-purchase service while consumer intention to return was only by site composition. Thus, big sized total shopping sites should provide all kinds of online services to satisfy consumers. Small sized, fashion specially sites had better concentrate on site design or fashionable, creative product merchandising to get a competitive edge for young customers.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.8
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• pp.913-923
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• 2003

This study divides consumers into groups according to the TRI(technology readiness index) in order to (md out the characteristics of each consumer group, and attempts to examine how the frequency of shopping and the TRI affect service quality of and satisfaction at the internet apparel shopping sites. An on-line survey was made to collect data, and the replies from 785 people, who had an experience of apparel shopping apparel on line, were used in the analysis. The research results are as follows: 1. The four factors of optimism, innovativeness, discomfort, and insecurity were identified from the TRI factor analysis, and the total variance was 58.88%. 2. The male group showed the higher TRI than the female group. Especially the factor of innovativeness was higher in the male group, indicating the male group's activeness in the use of technology. 3. Consumers were classified into five types in terms of the TRI: explorers, pioneers, skeptics, paranoids, and laggards. 4. Service quality had the greatest influence on consumers’satisfaction with the apparel shopping sites, and the frequency of purchase, optimism, and discomfort ranked next to service quality.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.63-74
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• 2012

The purpose of this study was to find factors affecting satisfaction and intention to re-purchase fashion goods through social commerce. A questionnaire method was applied for 123 women aged from twenties to thirties, with buying experience in fashion goods through social commerce. Independent variables were service quality, fashion shopping orientation, and demographics. Factor analyses and multiple regression methods were used to analyze data. Factor analyses resulted in two factors for service quality and resulted in four factors for fashion shopping orientation. The results of multiple regression analyses showed that convenience & benefits and site layout factors of the service quality had significant impacts on satisfaction in fashion social commerce. Those two service quality factors, demographics like job, and satisfaction were shown significantly important to predict intention to re-purchase fashion goods on social commerce service. Intention to re-purchase was best explained in the model with satisfaction as an independent variable. Meanwhile, shopping orientation factors were not important in any model.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.8
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• pp.890-905
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• 2011

This study investigated service quality perception, purchase satisfaction, recommendation intention, and switching intention of fashion consumers according to the types of internet shopping malls. The survey was conducted from February 7 to 21 in 2011, and 294 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, ANOVA, and regression analysis. The result of the service quality perception of internet fashion consumers was classified by site characteristics, reliability, enjoyment, product diversity, responsibility, security, and order convenience. There were significant differences in the site characteristics, reliability, enjoyment, responsibility, and security of service quality perception by the types of internet shopping malls. In addition, the factors of service quality perception that could affect the purchase satisfaction of fashion consumers showed differently according to the types of internet shopping malls. The purchase satisfaction of fashion consumers influenced the recommendation intention in all types of internet shopping malls and the purchase satisfaction influenced the switching intention in fashion specialized internet shopping malls.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.787-800
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• 2011

This study investigated service recovery justice perception, purchase satisfaction, positive word-of- mouth (WOM) intention, and repurchase intention of fashion consumers according to the types of internet shopping malls. A survey was conducted from December 20 in 2010 to January 28 in 2011, and 324 respondents who had complaint with internet shopping malls were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, and multiple regression analysis. The results of this study were as follows. First, in case of integrated internet shopping malls, the procedure justice influenced the purchase satisfaction and the interaction justice influenced the positive WOM intention. In addition, the distribution justice influenced the repurchase intention of fashion consumers. In the case of an open market, the interaction justice influenced the purchase satisfaction and the distribution justice influenced the positive WOM intention. In case of specialized internet shopping malls, the distribution justice influenced the purchase satisfaction and the interaction justice influenced the repurchase intention. Second, there was a difference in the procedure justice, positive WOM intention, and repurchase intention according to gender.

• Journal of the Korean Home Economics Association
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• v.47 no.10
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• pp.39-49
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• 2009

The purpose of this study was to investigate Chinese women’s clothing purchase behavior and satisfaction for clothing made in Korea. Data was collected from Chinese women who had made purchases of Koreanmanufactured clothing using the Chinese online shopping mall named ‘TaoBao’. In total, the responses of 439 questionnaires were tabulated and analyzed using the SPSS program 12.0. Results were as follows: 1) Shopping motivation was classified based on two factors: transformation motivation and information motivation. Most Chinese women who purchased clothing made in Korea did so because of information motivation. Results showed that the place of manufacturing origin(i..e Korea) did not negatively impact Korean clothing products at this online shopping mall. 2) Purchase satisfaction was influenced by three factors: quality satisfaction, wearing/management satisfaction, and design satisfaction. Most Chinese women were satisfied with clothing made in Korea in terms of the design factor. 3) There were correlations among Chinese women’s shopping motivation and purchase satisfaction for clothing made in Korea.