• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.79-90
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• 2014

With the development of modern society, not only have the Internet and e-commerce been progressed but they also made 'consumption patten' diverse. Despite the internet clothing market growth, there is critical a disadvantage, which is consumers is not able to wear the products presented via online pictures. Thus, pictures on the internet are the only information customers can get, which has caused consciousness on the importance of dealing with 'customer review'. In spite of the fact that 'customer review' has undeniably evolved to be one of customers' essential requisites, the research on this subject is very limited. Until now, the studies on the internet shopping consumers' behavior mostly has to do with the features of 'customer review' such as 'a sense of exaggeration', 'usability', 'duality', 'purity', 'professionalism', 'reliability', and the 'similarity', etc.) Therefore, this study categorizes the characteristics of online shopping reviews to 'the number of reviews', 'the article-length', 'the existence of photos', 'the rewards for reviews', 'the contents of the reviews' and 'the freshness of the reviews' and reviews the impact of an features of 'customers' reviews' affecting the internet shopping sales promotion. Moreover, it is to contribute to the marketing strategies of a shopping mall by analyzing consumers' 'purchasing satisfaction', 'the intention of repurchasing', and 'the factors of viral marketing'.

• Journal of Information Technology Services
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• v.10 no.1
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• pp.1-20
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• 2011

The market structure and consumer characteristics are changing dynamically according to internet shopping industry developing based on Web 2.0. But, there is absent typical online service after 'Cyworld.' The social shopping sites based on social networking reflect to present phenomenon that collective intellect, information sharing, participate in making information. The social shopping sites are not limited in particular shopping sites but include all of sites in online. So, consumers can copy various products and display on their own blog provided from social shopping sites and make some purchase reviews and any comments about products can lead transactions among social shopping sites. So, it might be a one of meta-shopping mall like 'Naver.' As the social shopping sites are new form, we just applied to TAM theory to figure out acceptance factors using SEM. The perceived enjoyment affect to usefulness, ease of use and using intension. The perceived ease of use also affect to usefulness and the usefulness affect to using intension positively. But the perceived ease of use was for nothing in using intension. Finally, we provided managerial implications to activate domestic online shopping industry and theoritical meaning using extended TAM.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.239-244
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• 2015

We can build regular relationships with customers by integrating SNS (Social Networking Service) and internet shopping mall functions. For example of direct dealing of agricultural products, consumers can find news of regular sellers (seeding, farming, harvesting and new products) in the timeline at their SNS home. Then, they can purchase the necessary products by one click motion. The sellers provide news and discount information for building regular customers. Besides these SNS personal connection building, our system provides shopping mall functions to consumer's SNS home pages with auto classified catalog of products. Then, consumes easily find necessary products and these purchase may lead to regular relationships with sellers. Consumers may redistribute recommendations and reviews and it enables direct communications between consumers who are unknown to each other.

• Journal of Fashion Business
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• v.14 no.2
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• pp.81-94
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• 2010

The online shopping environment has radically changed consumer shopping behavior. Without the actual physical shopping experience in a brick-and-mortar store, consumers make purchasing decisions over the Internet. They make an effort to obtain product information not only from online merchants, but also from previous purchasers in order to make an informed decision. Accordingly, customer comments are expected to have a significant impact on decisions to purchase goods and services online. This paper focuses on one type of electronic word-of-mouth, the online consumer review. It derives several motivations why customers post product reviews on shopping mall sites. Customer motives were identified through an in depth one-on-one interview with twenty female respondents conducted twice from June $17^{th}$ to September $11^{th}$, 2009. The interviews lasted between 40 and 60 minutes. The results showed that consumers write product reviews based on six motivations: to receive a reward or remuneration for writing a product review, to share information with other customers, to improve the quality of goods and services, to reduce customer dissatisfaction, to recommend products and services, and to derive pleasure.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.9
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• pp.2073-2080
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• 2015

Even though users choose goods they want to buy in on-line shopping malls, real purchase is often performed in off-line shopping malls. It is called reverse showrooming. It means that users' analysis of goods based on images and description of internet shopping malls has limitation. Thus, large-scale online shopping malls provide a customized shopping information. However, in that case, the provided information is a simple list of goods users bought or retrieved. Thus, a system to analyze various needs of users and apply the result into on-line shopping mall is necessary. In this paper, an analysis system is proposed. The system contains a module to analyze user defined preference and a module to analyze users' reviews. The former designates two goods and collects preferences of individual users. the latter analyzes reviews about purchased goods based on database dictionary stored in advance for analyzing reviews. The system implemented shows that it is possible to recommend some goods that meet each users's needs

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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• pp.177-190
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• 2016

On-line consumer reviews are good references for consumers to evaluate and buy apparel products. The objective of this study is to facilitate communication about performance textiles between consumers and merchandisers who buy and sell apparel products on online. The survey was based on standardizing words used in consumer reviews written after purchase of summer knit t-shirts at internet shopping mall and evaluating the performance textiles including cellulose fibers. We collected reviews of five sorts of the clothing products including cotton/modal, tencel/polyurethane, polyester/rayon, linen, cotton and selected 1000 reviews related to textiles. For classifying each word used in the reviews by the performance textiles, they were quantified applying same standards. The results were as follow: First, the standard for consumer to consider importantly was tactile sensation, appearance, pilling, thickness, dimensional stability in washing. Second, the important category of performance textiles was healthy-comfort and psychological-comfort. Third, there were difference performance textiles for consumer to recognize, e.g. cotton/modal was important to air-permeability, tencel/polyurethane was noticed about tactile sensation, polyester/rayon was perceived about pilling unlike other things, linen had a problem of clothing care-convenience, then cotton was familiar fiber to important for appearance. The last, consumers usually focused on writing the most positive or negative online reviews. Although not familiar with professional terminologies, consumers are sensitive to physical properties of textiles. Therefore, standardizing and evaluating performance textiles are expected to improve satisfaction as providing objective information to consumers considering in buying apparel products at online shopping mall and increase in revenue to manufacturer.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.255-271
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• 2009

Since consumers have difficulty in acquiring information related to products in online, they are apt to use WOM(word-of-mouth). It seems to be more popular and acceptable methods to acquire information about products sold in online. In other words, consumers who visit the Internet shopping-mall can not make a purchase-decision immediately because they have no sufficient knowledge about products. To solve this problem, consumers make use of the service called "online review". The objective of this study is to verify how these reviews can influence attitude toward the message, product and several buying behaviors in the online. In particular, this study focus on the message's sidedness(positive or negative) and objectivity(objective or subjective), because it is expected that consumers are likely to behave differently according to the characteristics of online reviews. Thus, to measure consumer's attitude and buying behavior, this study was examined by 4 types of messages. The results of this study are as follows: First, in the positive-objective message, the message attitude has a stronger effect on purchase intention than other outcomes. Second, in the positive-subjective message, the message attitude has a stronger effect on revisiting intention than others. Third, in the negative-objective message, the message attitude has a stronger effect on purchase intention than others. Hence, it is said that online shopping-mall managers need to understand the effects of multidimensional online review.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.9-15
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• 2019

Large global online shopping malls, such as Amazon, offer services in English or in the language of a country when their products are sold. Since many customers purchase products based on the product reviews, the shopping malls actively utilize the sentimental analysis technique in judging preference of each product using the large amount of review data that the customer has written. And the result of such analysis can be used for the marketing to look the potential shoppers. However, it is difficult to apply this English-based semantic analysis system to different languages used around the world. In this study, more than 500,000 data from Amazon fine food reviews was used for training a deep learning based system. First, sentiment analysis evaluation experiments were carried out with three models of English test data. Secondly, the same data was translated into seven languages (Korean, Japanese, Chinese, Vietnamese, French, German and English) and then the similar experiments were done. The result suggests that although the accuracy of the sentimental analysis was 2.77% lower than the average of the seven countries (91.59%) compared to the English (94.35%), it is believed that the results of the experiment can be used for practical applications.

• Journal of the Korea Society for Simulation
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• v.18 no.2
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• pp.39-48
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• 2009

This study reviews the limit of image search by considering on the image search methods related to content-based image retrieval and suggests a user interface for more efficient content-based image retrieval and the ways to utilize image properties. For now, most studies on image search are being performed focusing on content-based image retrieval; they try to search based on the image's colors, texture, shapes, and the overall form of the image. However, the results are not satisfactory because there are various technological limits. Accordingly, this study suggests a new retrieval system which adapts content-based image retrieval and the conventional keyword search method. This is about a way to attribute properties to images using texts and a fast way to search images by expressing the attribute of images as keywords and utilizing them to search images. Also, the study focuses on a simulation for a user interface to make query language on the Internet and a search for clothes in an online shopping mall as an application of the retrieval system based on image attribute. This study will contribute to adding a new purchase pattern in online shopping malls and to the development of the area of similar image search.