• Journal of Korean Library and Information Science Society
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• v.40 no.1
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• pp.233-251
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• 2009

The National Library of Korea recently proposed a draft of an Act on Legal Deposit and Use for the Online Digital Products and researches about deposit system and remuneration of the digital products are in progress. Based on the law of library and copyright, remuneration of deposit and use products is paid. A draft of a proposed law include information about the remuneration payment. For these reasons, the method for efficient remuneration management is required. In this paper, we propose effective remuneration management system which follows a draft of an Act on Legal Deposit and Use for the Online Digital Products.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.2
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• pp.295-309
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• 2020

In 2019, Japan announced trade regulations against Korean products; consequently, the sales of Japanese products in Korea dropped due to a Korean consumers' boycott. This study measured the Korean consumers' political consumption behavior toward Japanese fashion products. Unstructured text data from online media sources and consumer posted sources such as blog and SNS were collected. Text mining techniques and semantic network analysis were used to process unstructured data. This study used text mining techniques and semantic network analysis to process data. The results identified boycotting Japanese fashion products and buycotting alternative products and Korean brands due to consumers' political consumption. Two brand cases were investigated in detail. Online text data before and after the political action were compared and significant changes in consumption as well as emotional expressions were identified. Product related industry sectors were identified in terms of the political consumption of fashion: liquor, automobile and tourism industry sectors were closely linked to the fashion sector in terms of boycotting. More "boycott" and "buycott" fashion brands (reflected in consumer attitudes and feelings) were detected in consumer driven texts than in media driven sources.

• The Research Journal of the Costume Culture
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• v.27 no.2
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• pp.98-108
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• 2019

With the expansion of various distribution channels in online and offline stores, TV, and mobile, consumers now have more information search and retail selection channels to choose from than ever before. Major retailers now use multi- and omni-channel strategies. This study focused on cross-channel consumption, which involves the use of different information search and purchase channels. Using cross-channel consumption, consumers can search for information online and then make purchases offline and vice versa. The purpose of this study was to examine the relationship between channel strategies and other consumer variables, and the study also assessed the effect of product type. To conduct this empirical study, the researchers developed a consumer questionnaire concerning three consumer channel strategies-on-on, cross, and off-off-and four product categories-clothing, cosmetics, books, and electronics. The results indicated that gender and marital status did not influence consumer channel strategies, but that age did have a significant influence. The analysis showed that consumers in their 40s preferred the cross channel strategy, perceiving it to be effective, satisfactory, and rewarding. Compared to other products, clothing products showed higher levels of cross channel strategies. Consumers indicated that they prefer searching for information online and then purchasing clothing offline. Overall, clothing products generated higher levels of channel satisfaction and channel switch intentions. Cross-channel clothing shoppers reported effective information retrieval times but longer delivery times.

• Journal of Information Technology Applications and Management
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• v.30 no.3
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• pp.1-13
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• 2023

Demand forecasting is a crucial task for an online retail where has to manage daily fresh foods effectively. Failing in forecasting results loss of profitability because of incompetent inventory management. This study investigated the optimal performance of different forecasting models for a very short shelf-life product. Demand data of 13 perishable items with aging of 210 days were used for analysis. Our comparison results of four methods: Trivial Identity, Seasonal Naïve, Feed-Forward and Autoregressive Recurrent Neural Networks (DeepAR) reveals that DeepAR outperforms with the lowest MAPE. This study also suggests the managerial implications by employing coefficient of variation (CV) as demand variation indicators. Three classes: Low, Medium and High variation are introduced for classify 13 products into groups. Our analysis found that DeepAR is suitable for medium and high variations, while the low group can use any methods. With this approach, the case can gain benefit of better fill-rate performance.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.847-858
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• 2005

The purpose of this study was to examine consumer purchasing behavior of the online shoppers particularly using online clothing shopping mall and to analyze the key factors of both satisfaction and dissatisfaction of their purchase and to compare the both group by lifestyle segmentation in order to provide the e-CRM strategies. Focus group interviews and survey were conducted in December, 2003 with 30 online shoppers who have an experience of online clothing purchasing. The data analysis included the content analysis, descriptive statistics, K-means and factor analysis. Key findings of the study were as follows: First, online shoppers spent average 3.5 hours on internet and usually purchased clothing while surfing the web. Second, consumers were satisfied with reasonable price and customized service but dissatisfied with delayed delivery, limited product availability in both size and color and return policy. Third, according to the lifestyle segmentation, online shoppers could be characterized as 'Luxurious', 'Trendy' and 'Prudent' 'Luxury-oriented consumers', who value fashion, diet and social activity, tended to purchase basic yet high quality products. However, 'Trend-oriented consumers', to whom fashion trend was most important, purchased various latest fashion products with reasonable price and showed generally positive response to emails sent by e-retailers. And lastly 'Prudence-oriented consumers', whose buying decision was based solely on practicality, appeared to be reluctant to purchase clothing online while seeking more credible information and competitive price. In conclusion, this study has its significance in that it helps promote relationships between customers and e-retailers by providing differentiated e-CRM strategies through each customer groups 'lifestyle segmentation and consumer purchasing behavior analysis.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.5
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• pp.585-596
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• 1998

This report gathers data on current catalogue and online order market in the apparel products in order to: 1) identify the current status and critical issues in this area, and 2) identify the differences between the department store markets and the domestic markets on catalogue and online order. In addition, it collected the information on consumer shopping behaviors through surveys in both Korea and the U.S., in order to: 1) compare the consumer behaviors between both countries, and 2) identify any correlations with demographic factors such as sex, age, marriage status, income, education. This was discovered by means of the collected data that in Korea there were the problefls related to the apparel products and the apparel size specification, and related to the p.c.-network. Also in Korea the department store companies do not have properly worked out size specifications and are more likely to use 'freesize' categories, while in the U.S. and Europe the reverse was found and the size specification gave more detailed information. Results of the questionnaire suggested that the U.S. was superior in the almost part of questionnaires especially in terms of the user's experience and satisfaction with catalogue & online order in apparel. Additionally, the U.S. had 2.5 times more catalogues and online sites and those were more frequently used compared to those in Korea. The consumer shopping behaviors in Korea showed a correlation with sex, age, job, marriage status and income. And there were significant correlations with education, sex and income in the U.S.

• Journal of Fashion Business
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• v.24 no.3
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• pp.69-84
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• 2020

The purpose of this study is to analyze examples of online fashion product planning of domestic fashion brands, to grasp the characteristics and step-by-step problems in product planning, and to suggest product planning methods. This study consists of a literature study and a case study. The results of th study are as follows. First, in the information analysis and product planning, product planning according to analysis and targeting of online consumers should be conducted separately from offline, and the proportion of online-only products should be expanded. Second, in the design planning and product development stages, it should be possible to secure the quantity through the pre-planning of fabrics, a to acquire the novelty of the material through the preemption of good fabrics and the pre-planning of colors to secure competitive design. Third, in the convention, a systematic review process involving company members and customer review teams should be conducted to ensure product quality and sales-ability Fourth, in the production stage, the production period must be to reduce cost. Fifth, differentiated services according to the characteristics of their products for each brand in the promotion and sales stages. Based on this analysis, a desirable approach online product planning should first run promotion phase, increasing pre-planning for the product, and organizing specialize work and manpower issues.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.5
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• pp.1004-1018
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• 2020

Advances in e-commerce enable consumers to shop efficiently for fashion products in global markets in addition, the market size of purchasing directly from foreign websites are also increasing. This study investigates the effects of hedonic and utilitarian shopping values on the continuous use intention of online cross-border shopping. Curiosity and self-efficacy were introduced as mediating variables between shopping values and user intentions. A web-based survey is conducted on female consumers, who have experiences to buy fashion products by online cross-border shopping. A total of 472 responses were collected from a panel of online survey firms. Data are analyzed using confirmatory factor analysis, structural equation modeling, and multi-group SEM by AMOS 21.0. According to the results of the structural equation model test, hedonic value affected continuous use intention of online cross-border shopping as mediated by curiosity and self-efficacy; in addition, utilitarian value influenced self-efficacy, which mediated relations between the utilitarian value and the continuous use intention. The research model was also tested to compare heavy users and light users of online cross-border shopping. For heavy users, the effect of hedonic value on curiosity was significantly stronger than for light users. Several implications are suggested based on the results.

• Information Systems Review
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• v.21 no.1
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• pp.61-90
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• 2019

From the digital perspective, customer journey and customer experience management are emerging as important issues for companies. While digital customer experience has become more important due to the recent surge in online sales of the home appliance products, customers' experience in online is not differentiated as offline-focused traditional methods are maintained. This study aims to analyze the characteristics and mutual influences of customer experiences at each stage of online purchase journey, and to explore the effects on the product repurchase intention, focusing on online purchasers of home appliance which are high-involvement products. As a result, both cognitive and affective experiences of the research phase directly affect satisfaction, whereas affective experience at the purchasing stage indicated indirect effects through cognitive experience. The experience of the research phase positively affects the next phase, the purchasing experience, and the experience of the purchasing phase leads to the intention to repurchase the product. However, it is also found that, depending on the choice of online channels, the experience of research phase may affect the product repurchase intention than the purchase experience.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1086-1097
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• 2009

Consumers have more choices for apparel products as e-shopping grows. This study examines the importance of apparel product attributes and classifies online apparel buyers into groups based on product attribute evaluation in various choice sets. For the empirical research, the online survey was conducted and Latent Gold Choice 4.0 was used for the choice-based conjoint analysis. Five consumer segments are found based on the choice selection of product attributes. The importance of product attributes (online shopping mall, brand, price, and style) and the preference of each product attribute level were different across segments. This research improves the knowledge of the purchasing behavior of online apparel buyers and provides proper attribute combinations of apparel e-shopping for each consumer segment.