• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.9
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• pp.1099-1111
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• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.

• The Journal of Information Systems
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• v.20 no.4
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• pp.233-254
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• 2011

Although e-commerce is growing fast, e-commerce consumers are still under higher risk and uncertainty in the comparison of the traditional commerce's. Consumer review boards of online shopping malls are good measures to help buyer's decision making, and should be managed effectively by sellers. We formulate the research model on consumer trust formation on seller managed web review boards on the background of previous literatures on e-WOM and trust. Our data analysis with 368 samples shows seller's reputation, e-service quality, perceived reviewer's benevolence and ability have significant positive effect on the trustworthiness of the board. Product involvement shows weak negative moderation effect on the relationship between perceived reviewer's benevolence and trustworthiness of review boards.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.265-267
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• 2009

디지털 제품 구매자는 일반적으로 온라인을 통하여 제품 웹사이트에서 제품의 특징이나 사용 후기를 충분히 보고 제품을 구입한다. 그리고 제품을 구입 후에 사용자는 온라인에서 제품의 매뉴얼을 통하여 익힌다. 이러한 과정에서 본 연구자는 사용자들의 온라인상에서 제품 구매 전, 후에서 문제점을 발견하고 확실히 어떠한 요구사항이 존재할 것이라는 의문을 가졌다. 따라서 다양한 일반인 연령대를 구성한 340명을 대상으로 디지털 제품의 전달 매체 사용에 대한 온라인 설문조사를 실시하였다. 설문문항 내용에서 우선적 대안으로 예상한 것들은 '데스크탑 가상현실'과 '멀티미디어 동영상' 매체들이다. 그리고 사용자들이 이것들을 새로운 매체로서 가장 요구하는 사항일 것이라는 추측을 하고 현황을 파악한다. 최종적으로는 사용자가 요구하는 제품에서 매체의 기능과 만족도를 조사하고 개선점을 파악하며 문제점에 대한 해결 대안의 기초 자료로서 제시하고자 한다.

• 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

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.73-82
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• 2013

The purpose of this study is to explore attributes of trusted blog product-reviews and to examine the weight of each attribute. First, the attributes of trusted blog product-reviews were collected through consumer interviews. Second, the trust attributes were examined in terms of their relative importance. The results are: 1) Thirty-five of trust attributes were discovered and categorized into 'popularity', 'presence', 'attractiveness', 'trustworthiness', and 'expertise'. 2) In general, attributes reflecting usefulness, trustworthiness and attractiveness seemed the most important trust factors. 3) 'presence', which have not been highlighted so far in trust research, was emerged as an important trust factor in the web blog context. Theoretical and practical implications were discussed.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.387-390
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• 2009

인터넷의 생활화를 통해 우리 생활 패턴이 크게 변화하였다. 특히 상품 구매의 경우 온라인 시장의 성장과 상품 정보의 범람으로 소비자들의 구매 의사결정은 더욱 어려워졌다. 따라서 효율적인 상품 구매 의사결정을 위해서는 소셜 네트워크 분석(Social Network Analysis)을 기반으로 한 더 가치있는 정보를 선별하여 제공해 줄 수 있는 서비스가 필요하다. 따라서 본 논문에서는 온라인 소셜 네트워크 요소 분석을 통해 상품 후기에 대한 개인화된 가치 측정값 정보를 제공함으로써 소비자의 보다 효율적인 상품 구매가 가능하도록 도와주는 '가치 측정 알고리즘'을 제안한다.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.113-127
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• 2021

This study classifies review attributes into ratings, number of comments and image information in online shopping mall to verify their impact on brand attitude and purchase decision and e-WOM intention. Use SPSS 23.0 for frequency analysis, factor analysis and regression analysis. The results showed that review attributes have a positive effect on brand attitudes, purchase decision and e-WOM intention, but the number of comments has not affect on purchase decision. Brand attitude has a positive effect on purchase decision and e-WOM intention. Brand attitude has media effect in the relationship between ratings, image information and purchase decision, and in the relationship between review attributes and e-WOM intention. As these results, consumers don't always like to have a lot of comments. and should allow to focus on high ratings and photo reviews as much as possible when writing reviews.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.63-82
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• 2016

Individuals gather information online to resolve problems in their daily lives and make various decisions about the purchase of products or services. With the revolutionary development of information technology, Web 2.0 has allowed more people to easily generate and use online reviews such that the volume of information is rapidly increasing, and the usefulness and significance of analyzing the unstructured data have also increased. This paper presents an analysis on the lexical features of expert product reviews to determine their influence on consumers' purchasing decisions. The focus was on how unstructured data can be organized and used in diverse contexts through text mining. In addition, diverse lexical features of expert reviews of contents provided by a third-party review site were extracted and defined. Expert reviews are defined as evaluations by people who have expert knowledge about specific products or services in newspapers or magazines; this type of review is also called a critic review. Consumers who purchased products before the widespread use of the Internet were able to access expert reviews through newspapers or magazines; thus, they were not able to access many of them. Recently, however, major media also now provide online services so that people can more easily and affordably access expert reviews compared to the past. The reason why diverse reviews from experts in several fields are important is that there is an information asymmetry where some information is not shared among consumers and sellers. The information asymmetry can be resolved with information provided by third parties with expertise to consumers. Then, consumers can read expert reviews and make purchasing decisions by considering the abundant information on products or services. Therefore, expert reviews play an important role in consumers' purchasing decisions and the performance of companies across diverse industries. If the influence of qualitative data such as reviews or assessment after the purchase of products can be separately identified from the quantitative data resources, such as the actual quality of products or price, it is possible to identify which aspects of product reviews hamper or promote product sales. Previous studies have focused on the characteristics of the experts themselves, such as the expertise and credibility of sources regarding expert reviews; however, these studies did not suggest the influence of the linguistic features of experts' product reviews on consumers' overall evaluation. However, this study focused on experts' recommendations and evaluations to reveal the lexical features of expert reviews and whether such features influence consumers' overall evaluations and purchasing decisions. Real expert product reviews were analyzed based on the suggested methodology, and five lexical features of expert reviews were ultimately determined. Specifically, the "review depth" (i.e., degree of detail of the expert's product analysis), and "lack of assurance" (i.e., degree of confidence that the expert has in the evaluation) have statistically significant effects on consumers' product evaluations. In contrast, the "positive polarity" (i.e., the degree of positivity of an expert's evaluations) has an insignificant effect, while the "negative polarity" (i.e., the degree of negativity of an expert's evaluations) has a significant negative effect on consumers' product evaluations. Finally, the "social orientation" (i.e., the degree of how many social expressions experts include in their reviews) does not have a significant effect on consumers' product evaluations. In summary, the lexical properties of the product reviews were defined according to each relevant factor. Then, the influence of each linguistic factor of expert reviews on the consumers' final evaluations was tested. In addition, a test was performed on whether each linguistic factor influencing consumers' product evaluations differs depending on the lexical features. The results of these analyses should provide guidelines on how individuals process massive volumes of unstructured data depending on lexical features in various contexts and how companies can use this mechanism from their perspective. This paper provides several theoretical and practical contributions, such as the proposal of a new methodology and its application to real data.

• Fashion & Textile Research Journal
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• v.19 no.2
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• pp.180-193
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• 2017

The increase use of smartphones has paved the way for quick dissemination of online information. This has a huge influence on consumers' purchase decision making and the formation of a company's image. As such, this study focuses on product review from mobile beauty applications(apps); in particular, the perceived information authenticity. The purpose is as follows. First, to examine if there is any difference in perceived information authenticity based on the types of product review. Second, to analyze how perceived information authenticity influences brand attitude, purchase intention, and electronic word of mouth(e-WOM) intention. The study targets consumers in their 20s and 30s who have experience buying a product via a mobile beauty app. Three hundred responses are analyzed using SPSS 21.0 and AMOS 18.0. The results reveal that, first of all, consumers derive higher perceived information authenticity from a multi-facet review rather than a double-facet review. Second, among the traits of perceived information authenticity, only a brand's perceived reliability has a significant influence on brand attitude. Third, this brand attitude has a positive influence on purchase intention and e-WOM intention. In conclusion, these findings can serve as an important discussion point for companies developing a mobile beauty app, drawing attention to perceived information authenticity, based on the types of product review.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.3
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• pp.27-32
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• 2018

Hanbok is a our own history and tradition and is an icon of Korean history and culture. Today, the costumes are moving around the world fashion trend due to the development of mass media and internet at the same time. This is an important clue to marketing activities and can be used for predictive analysis. Although Hanbok is changing little by little every year, research on the trend of Hanbok is rare. This study analyzed the results of searching for 'Hanbok' as a keyword in Portal Site Naver and posting a customized purchase of Hanbok for marriage between 2016 and 2017. The analysis was based on analyzing the photos uploaded, and analyzing purchase reason in the On-line review. Most buyer of Hanbok purchased for prepare marriage. The choice of a customized hanbok is mostly to search online or to use the fair. The most important factor in choosing a custom Hanbok that appeared in online reviews is color and then price. The color of the jacket is mostly light color and the off-white color is the most used and the long skirt such as the pink system, the chorale system and the red system, and it can be seen that the pink skirt is overwhelmingly large. In the design of Hanbok, The sleeves were straight and narrow, and the length was the chest line. The collar were enlarged and widened. 고름 used the sole color instead of the jacket and skirt color, and it was narrow not long. skirt's pleats was wide, and designed to overlap with double color of the fabric.