• Title, Summary, Keyword: Product Review

Search Result 1,202, Processing Time 0.029 seconds

Research on the Influencing Factors of the Usefulness of the Online Review and Products Sales : Based on Chinese Online Shopping Platform Data (온라인 리뷰 유용성과 상품매출에 영향을 주는 요인 : 중국 온라인 쇼핑 플랫폼 데이터를 기반으로)

  • Hwang, Chim;Kwon, Young-Jin;Lee, Sang-Yong Tom
    • Journal of Information Technology Applications and Management
    • /
    • v.25 no.2
    • /
    • pp.53-72
    • /
    • 2018
  • This empirical study explored characteristics that affect the usefulness of online reviews, in the China e-commerce platform, and implemented multiple regressions to find factors that significantly influence on product sales, ultimately. Till now, prior studies have continuously revealed what factor affects usefulness of online review or product sales, only in respective terms. The point of our study is that we built two-level regression models, thereby being able to comprehensively analyze these two different targets. Before plunging into running regressions, we carefully collected 192,764 online review data for 200 products extracted from the Jingdong, the second biggest e-commerce platform in China. Also, we gathered "review sentimental scores" variable from each review and used that one as a core variable in our regression model, thus we were able to implement both quantitative and qualitative research. The evidences from the two-level regression models showed that the extent to which a product is experience good positively affects both usefulness of a review and product sales, again the usefulness of a review contributes to product sales in sequence. Also, the property of experience good has interaction effect on both for two-level regression models. Our main findings highlight the importance of role of online review to business performance of e-commerce firms.

The Effects of Online Product Reviews on Sales Performance: Focusing on Number, Extremity, and Length

  • PARK, Sunju;CHUNG, Seungwha (Andy);LEE, Seungyong
    • The Journal of Distribution Science
    • /
    • v.17 no.5
    • /
    • pp.85-94
    • /
    • 2019
  • Purpose - The purpose of this study is to analyze the impact of customer's communication on sales performance in the online market. Research design, data, and methodology - This study uses linear regression analysis to examine the effects of product review characteristics which are the result of customer's communication, on sales performance by using product reviews of online marketplace Amazon. Result - The increase in the number of product reviews positively affected sales performance. An increase in extreme opinions in the product review has a positive effect on sales performance. The product review length has a negative effect on sales performance. Conclusions - This study has shown the online marketplace customers' communication can influence sales performance using product review big data. This study contributed to the theoretical completeness by analyzing all the products of the book category in Amazon online market. This research will complement the theories regard to the customer behavior affecting sales performance. We expect the empirical analysis result will provide empirical help to sellers, online marketplace operators, and customers. In particular, the number of letters in the product may negatively affect sales performance, so sellers need to consider this effect carefully when exposing product reviews.

Survey on Fake Review Detection of E-commerce Sites (전자 상거래 사이트의 가짜 리뷰 판별 기법 조사)

  • Ji, Chengzhang;Zhang, Jinhong;Kang, Dae-Ki
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • /
    • pp.79-81
    • /
    • 2014
  • People increasingly rely on sources of information from E-commerce reviews. Product reviews is an important determinant of potential customers' buying choices. They are also utilized by product manufacturers to find problems of their products and to collect competitive intelligence information about their competitors. Unfortunately, it is well-known that many online product reviews are not made by genuine costumers of products. Reviewers could write some undeserving positive reviews to promote or fake negative reviews to defame some certain product, and we call them fake product reviews. Fake product review detection makes an attempt to detect fake reviews and removes them to restore the truthful ones for readers. To the best of our knowledge, there is still less published study on this problem. In this paper, we make a survey and an attempt to give a brief overview on fake product review detection. The related work of fake product review detection is presented including web spam and spam email. Then some methods to detect fake reviews are introduced and summarized. The trend of fake product review detection is concluded finally.

  • PDF

Effects of Perceived Similarity between Consumers and Product Reviewers on Consumer Behaviors (상품후기 작성자에 대해 상품후기 독자가 느끼는 유사성이 상품후기 독자에게 미치는 영향)

  • Kim, Ji-Young;Suh, Eung-Kyo;Suh, Kil-Soo
    • Asia pacific journal of information systems
    • /
    • v.18 no.3
    • /
    • pp.67-90
    • /
    • 2008
  • Prior to making choices among online products and services, consumers often search online product reviews written by other consumers. Online product reviews have great influences on consumer behavior because they are believed to be more reliable than information provided by sellers. However, ever-increasing lists of product reviews make it difficult for consumers to find the right information efficiently. A customized search mechanism is a method to provide personalized information which fits the user's requirements. This study examines effects of a customized search mechanism and perceived similarity between consumers and product reviewers on consumer behaviors. More specifically, we address the following research questions: (1) Can a customized search mechanism increase perceived similarity between product review authors and readers? (2) Are product reviews perceived as more credible when product reviews were written by the authors perceived similar to them? (3) Does credibility of product reviews have a positive impact on acceptance of product reviews? (4) Does acceptance of product reviews have an influence on purchase intention of the readers? To examine these research questions, a lab experiment with a between-subject factor (whether a customized search mechanism is provided or not) design was employed. In order to enhance mundane realism and increase generalizability of the findings, the experiment sites were built based on a real online store, cherrya.com (http://www.cherrya.com/). Sixty participants were drawn from a pool that consisted of undergraduate and graduate students in a large university. Participation was voluntary; all the participants received 5,000 won to encourage their motivation and involvement in the experiment tasks. In addition, 15 participants, who selected by a random draw, received 30,000 won to actually purchase the product that he or she decided to buy during the experiment. Of the 60 participants, 25 were male and 35 were female. In examining the homogeneity between the two groups, the results of t-tests revealed no significant difference in gender, age, academic years, online shopping experience, and Internet usage. To test our research model, we completed tests of the measurement models and the structural models using PLS Graph version 3.00. The analysis confirmed individual item reliability, internal consistency, and discriminant validity of measurements. The results show that participants feel more credible when product reviews were written by the authors perceived similar to them, credibility of product reviews have a positive impact on acceptance of product reviews, and acceptance of product reviews have an influence on purchase intention of the readers. However, a customized search mechanism did not increase perceived similarity between product review authors and readers. The results imply that there is an urgent need to develop a better customized search tool in order to increase perceived similarity between product review authors and readers.

Classification of Consumer Review Information Based on Satisfaction/Dissatisfaction with Availability/Non-availability of Information (구매후기 정보의 충족/미충족에 따른 소비자의 만족/불만족 인식 및 구매후기 정보의 유형화)

  • Hong, Hee-Sook
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.35 no.9
    • /
    • pp.1099-1111
    • /
    • 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.

Prior Industry Experience, Product Attributes and Online Customer Review on New Product Sales: TV Products on Chinese Online Shopping (이전사업경험, 제품속성 및 온라인 고객평가가 제품 매출성과에 미치는 영향: 중국 온라인 쇼핑몰내 TV제품 중심으로)

  • Gao, mingwen;Park, Sangmoon
    • Journal of Technology Innovation
    • /
    • v.24 no.1
    • /
    • pp.85-111
    • /
    • 2016
  • This paper examines the effects of prior industry experience, new product attributes and online customer review on new product sales. Different from prior researches on the volume and valence of customer review on online shopping, this paper investigated multiple factors on new product sales in online shopping mall. Based on 407 TV new products in China online shopping mall, we investigated the relationships of kew factors with new products sales. New products of Incumbent TV manufacturers outsell those of new entrants in TV market. Low initial price and low level of discount rate have positive relationships with new product sales. Technological superiority has positive effect on new product sales but the adoptions of new technological functions show different effects on sales. The volume of online consumer review also has positive relationship with new product sales. This paper suggest some theoretical and practical implications and future research directions.

Product Recommendation System based on User Purchase Priority

  • Bang, Jinsuk;Hwang, Doyeun;Jung, Hoekyung
    • Journal of information and communication convergence engineering
    • /
    • v.18 no.1
    • /
    • pp.55-60
    • /
    • 2020
  • As personalized customer services create a society that emphasizes the personality of an individual, the number of product reviews and quantity of user data generated by users on the internet in mobile shopping apps and sites are increasing. Such product review data are classified as unstructured data. Unstructured data have the potential to be transformed into information that companies and users can employ, using appropriate processing and analyses. However, existing systems do not reflect the detailed information they collect, such as user characteristics, purchase preference, or purchase priority while analyzing review data. Thus, it is challenging to provide customized recommendations for various users. Therefore, in this study, we have developed a product recommendation system that takes into account the user's priority, which they select, when searching for and purchasing a product. The recommendation system then displays the results to the user by processing and analyzing their preferences. Since the user's preference is considered, the user can obtain results that are more relevant.

A Study on the Types of Product Review on Mobile Beauty App, Perceived Information Authenticity, Brand Attitude, Purchase Intention and e-WOM Intention (뷰티 모바일 앱에서의 제품 사용후기의 유형, 지각된 정보의 진정성, 브랜드 태도, 구매의도 및 온라인 구전의도에 대한 연구)

  • Chun, Eunha;Seok, HaeMin;Chung, Minjee;Ko, Eunju
    • Fashion & Textile Research Journal
    • /
    • v.19 no.2
    • /
    • pp.180-193
    • /
    • 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.

The Determinant Factors Affecting Economic Impact, Helpfulness, and Helpfulness Votes of Online (온라인 리뷰의 경제적 효과, 유용성과 유용성 투표수에 영향을 주는 결정요인)

  • Lee, Sangjae;Choeh, Joon Yeon;Choi, Jinho
    • Journal of Information Technology Services
    • /
    • v.13 no.1
    • /
    • pp.43-55
    • /
    • 2014
  • More and more people are gravitating to reading products reviews prior to making purchasing decisions. As a number of reviews that vary in usefulness are posted every day, much attention is being paid to measuring their helpfulness. The goal of this paper is to investigate firstly various determinants of the helpfulness of reviews, and intends to examine the moderating effect of product type, i.e., search or experience goods on the product sales, helpfulness and helpfulness votes of online reviews. The determinants include product data, review characteristics, and textual characteristics of reviews. The results indicate that the direct effect exists for the determinants of product sales, helpfulness, and helpfulness votes. Further, the moderating effects of product type exist for these determinants on three dependent variables. The results of study will identify helpful online review and design review sites effectively.

A Sentiment Classification Method Using Context Information in Product Review Summarization (상품 리뷰 요약에서의 문맥 정보를 이용한 의견 분류 방법)

  • Yang, Jung-Yeon;Myung, Jae-Seok;Lee, Sang-Goo
    • Journal of KIISE:Databases
    • /
    • v.36 no.4
    • /
    • pp.254-262
    • /
    • 2009
  • As the trend of e-business activities develop, customers come into contact with products through on-line shopping sites and lots of customers refer product reviews before the purchasing on-line. However, as the volume of product reviews grow, it takes a great deal of time and effort for customers to read and evaluate voluminous product reviews. Lately, attention is being paid to Opinion Mining(OM) as one of the effective solutions to this problem. In this paper, we propose an efficient method for opinion sentiment classification of product reviews using product specific context information of words occurred in the reviews. We define the context information of words and propose the application of context for sentiment classification and we show the performance of our method through the experiments. Additionally, in case of word corpus construction, we propose the method to construct word corpus automatically using the review texts and review scores in order to prevent traditional manual process. In consequence, we can easily get exact sentiment polarities of opinion words in product reviews.