• Journal of Digital Convergence
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• v.18 no.3
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• pp.317-323
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• 2020

This research is based on product development that improves user experience such as design and function by analyzing the usage behavior of elements experienced by generation Z as customers and users in the process leading to disposal of earphones even before purchase. The behavior of earphones in Generation Z was analyzed through in-depth interview and surveys of the customer experience and user experience of earphones. The results of the study were common or characteristic. They are user experience based on brand dependency, sharing experiences and seeking simplified design and convenience, which is related with the lifestyle of the generation Z. This study is expected to be a fundamental study of product research and marketing strategies that will take advantage of the characteristics of Generation Z, who will be the main player of the market in the future.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.2
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• pp.59-75
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• 2004

Recommendation is a personalized information filtering technology to help customers find which products they would like to purchase. Collaborative filtering works by matching customer preferences to other customers in making recommendations. But collaborative filtering based recommendations have two major limitations, sparsity and scalability. To overcome these problems we suggest using adjusted product hierarchy, grain. This methodology focuses on dimensionality reduction and uses a marketer's specific knowledge or experience to improve recommendation quality. The qualify of recommendations using each grain is compared with others by several experimentations. Experiments present that the usage of a grain holds the promise of allowing CF-based recommendations to scale to large data sets and at the same time produces better recommendations. In addition. our methodology is proved to save the computation time by 3∼4 times compared with collaborative filtering.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.2
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• pp.185-195
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• 1999

The purpose of this study is to identify store image and clothing satisfaction of various clothing distribution type and is to compare the difference due to demographic variables. The data were obtained 407 housewives using questionnaire. The results were as follows. First Store image of clothing distribution types was found significant differences in product service atmosphere. Second Clothing satisfaction of clothing distribution types was founded significant differences in price brand name fashion design material sewing size. Third The new distribution types in general were not visited upon despite their high degree of recognition and using experience of new distribution types was founded significant differences in Store image of new distribution types. Fourth Among demographic variables significant difference in usage of the distributions was founded. Fifth Among demographic variables significant difference in usage of the distributions was founded. Fifth Among demographic variables significant difference in clothing satisfaction of the distributions was founded.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.11
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• pp.1669-1679
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• 2008

This study examined what differences were shown in the types of impulsive buying according to consumers' viewing circumstance, previous purchasing experience, and demographic factors on CATV home-shopping. For this study, data were obtained from adult women in twenties to fifties who have frequently viewed CATV home-shopping. The questionnaire was composed of three sections; characteristics of home-shopping usage, behaviors of impulsive buying and demographic factors. Data from 403 questionnaires were used for the statistical analysis. The results of this study were as following. First, four factors of impulsive buying types were identified. Second, differences in impulsive buying according to viewing circumstance of TV home-shopping were significant. New products were easily accepted by consumers who were reminded of previous needs with more viewing time and frequent viewing chances. Also, differences in impulsive buying according to the reason of viewing were meaningful only for the 'reminder impulsive buying. Third, consumers with more previous purchase experiences had higher reminder impulsive buying on home-shopping. Fourth, there were significant differences in age and marital status according to impulsive buying. The biggest difference was shown in the 'planned impulsive buying' corresponding to age and in the 'reminder impulsive buying' to marital status.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.97-106
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• 2007

A core technology that may realize the Semantic Web is Ontology. The OWL (Web Ontology Language) has been positioned as a standard language. It requires technical expertise to directly represent the domain knowledge in OWL. Based on our experience of analyzing the fundamental relationships of concepts in e-catalog domain, we have developed a visual product information modeler called PROMOD. The modeling editor makes it possible to automatically generate the OWL codes for the given product information. We employ an Extended Entity-Relationship for conceptual modeling, enriched with modeling elements specialized for the product domain. In this paper, we present our translation schemes from EER model to OWL codes, and how to design and implement the modeling editor. We also provide a scenario to demonstrate the usage of the editor in practice.

• Journal of Fashion Business
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• v.5 no.4
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• pp.37-55
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• 2001

This study put its major concern in consumer behavior during a purchase of fashion products through the Internet marketing channels. Therefore, it investigated the Internet shopping and tried to find the reasons why clothes shopping through the Internet marketing channels is not popular enough. Then, alternative marketing strategies would be suggested which is accessible from the relationship marketing approach. The study adopted a qualitative research method to implement those purposes. In-depth interviews were conducted with the interviewees who had an experience of buying a fashion merchandise through the Internet or who had such an intention. And the information on stages of decision-making process and actual purchase was obtained by participating in and observing the process. The results revealed stages of decision-making in purchasing a fashion product through the Internet channels, the process of relationship development, and the elements of relationship marketing which affect purchase intention. The elements of relationship marketing to promote a purchase of a clothing product via the Internet marketing channels included convenience; communication and socal experience; sensual information; risk acknowledgement and pursuit for safety; and usage of complexed marketing channels. Based on these, a few strategic points such as remote reality, database of communication basis, strengthening individualized services, and development of complex marketing channels were suggested.

• Journal of Information Technology Services
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• v.21 no.4
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• pp.75-90
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• 2022

From the past to the present, reviews have had much influence on consumers' purchasing decisions. Companies are making various efforts, such as introducing a review incentive system to increase the number of reviews. Recently, as various types of reviews can be left, reviews have begun to be recognized as interesting new content. This way, reviews have become essential in creating loyal customers. Therefore, research and utilization of reviews are being actively conducted. Some studies analyze reviews to discover customers' needs, studies that upgrade recommendation systems using reviews, and studies that analyze consumers' emotions and attitudes through reviews. However, research that predicts the future using reviews is insufficient. This study used a dataset consisting of two reviews written in pairs with differences in usage periods. In this study, the direction of consumer product evaluation is predicted using KoBERT, which shows excellent performance in Text Deep Learning. We used 7,233 reviews collected to demonstrate the excellence of the proposed model. As a result, the proposed model using the review text and the star rating showed excellent performance compared to the baseline that follows the majority voting.

• Knowledge Management Research
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• v.9 no.2
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• pp.129-146
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• 2008

Customers' evaluation of Website with satisfaction is critical in electroniccommerce. Previous research has studied in a distinct approach; especially IT oriented constructs-perceived usefulness, easy of use and marketing oriented constructs-product, shopping experience, service quality. Despite those important previous studies regarding the usage and the purchase of goods and services, how consumers are satisfied and why consumers leave Web sites without purchasing have not been extensively researched. This study explored those determinants of consumer satisfaction with Web site using expectation-disconfirmation theory (EDT). The present paper extends the range of EDT from antecedents of expectation to consequence of satisfaction. The result suggests that experience and familiarity has an impact on expectation as well as perceived performance and satisfaction. Second, higher expectation makes a negative impact on disconfirmation of expectation. Third, positive disconfirmation of expectation makes a positive impact on satisfaction. Forth. satisfaction produces loyalty and repurchasing intention. Finally, loyal customer has stronger intention to repurchase than satisfied customer.