• 제목/요약/키워드: Product reviews

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의류상품 구매후기를 읽는 동기와 인터넷 점포 고객 유형화 (Motives for Reading Reviews of Apparel Product in Online Stores and Classification of Online Store Shoppers)

  • 홍희숙
    • 한국의류학회지
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    • 제36권3호
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    • pp.282-296
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    • 2012
  • This study identified the types of motives for reading consumer reviews of apparel products for online stores and classified shoppers into the groups based on motives. Data were collected from eleven Korean women by a focus group interview and from 313 females by an online survey. Respondents were in their 20s' and 30s' with significant experience reading consumer reviews of apparel products for online stores. The seven motives found by interviews were reduced to four types of motives by factor analysis: Right product choice and judgment of product value, risk reduction, saving time and money, and fun/killing time. The motive for the right product choice and judgment of product value was the highest and the motive for fun/killing time was the lowest. Consumers were classified into four groups based on motives: Utilitarian shoppers (25.8%), shopping-task oriented shoppers (36.8%), multiple-motive shoppers (19.7%), and moderate-motive shoppers (17.7%). There were significant differences among age groups and the amount of reading reviews posted on a product and the duration of reading reviews for online stores. In addition, managerial implications were developed.

An Empirical Study on the Interaction Effects between the Customer Reviews and the Customer Incentives towards the Product Sales at the Online Retail Store

  • Kim, J.B.;Shin, Soo Il
    • Asia pacific journal of information systems
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    • 제25권4호
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    • pp.763-783
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    • 2015
  • Online customer reviews (i.e., electronic word-of-mouth) has gained considerable interest over the past years. However, a knowledge gap exists in explaining the mechanisms among the factors that determine the product sales in online retailing environment. To fill the gap, this study adopts a principal-agent perspective to investigate the effect of customer reviews and customer incentives on product sales in online retail stores. Two customer review factors (i.e., average review ratings and the number of reviews) and two customer incentive factors (i.e., price discounts and special shipping offers) are used to predict product sales in regression analysis. The sales ranking data collected from the video game titles at Amazon.com are used to analyze the direct effects of the four factors and the interaction effects between customer review and customer incentive factors to product sales. Result reveals that most relationships exist as hypothesized. The findings support both the direct and interaction effects of customer reviews and incentive factors on product sales. Based on the findings, discussions are provided with regard to the academic and practical contributions.

온라인 구매후기의 방향성과 평가내용이 패션상품에 대한 소비자 태도에 미치는 영향 (Effects of direction and evaluative contents of online reviews on consumer attitudes toward clothing products)

  • 서현진;이규혜
    • 복식문화연구
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    • 제21권3호
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    • pp.440-451
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    • 2013
  • Because of the e-shopping market consumers now have diverse options to choose when placing their orders, and find it easy to obtain the required information through the Internet. Especially, for consumers, product reviews posted on an e-tailer's website have become more important criteria than such information available elsewhere. Hence, this study investigated the influence of the direction and evaluative contents of online reviews on consumer attitudes toward clothing products. Four types of online reviews based on direction (positive/negative) and evaluative content in review information (objective/subjective) were used in the experimental design. Further, stimulus reviews were developed. Credibility, usefulness of reviews, product preference, and purchase intention were the measured dependent variables in each of the four situations of online review presentations. The results indicated that, overall, positive and objective online reviews resulted in a higher level of consumer attitude. The content in these reviews had a relatively stronger influence than the direction on attitudes toward online reviews. Overall, objective reviews generated a higher level of credibility and usefulness of information than subjective reviews. Regarding subjective reviews, negative information was more related to credibility, whereas positive information was more related to usefulness. Further, positive information had a higher influence than negative information on consumer attitudes.

온라인 쇼핑몰의 상품평 자동분류를 위한 감성분석 알고리즘 (A Sentiment Analysis Algorithm for Automatic Product Reviews Classification in On-Line Shopping Mall)

  • 장재영
    • 한국전자거래학회지
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    • 제14권4호
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    • pp.19-33
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    • 2009
  • 급속한 전자상거래의 발전으로 인하여 온라인상으로 상품을 구매하고 그에 대한 평가를 작성하는 것이 일반적인 구매 패턴이 되었다. 기존 구매자들의 상품평들은 다른 잠재적인 소비자들의 상품 구입을 이끌어내는데 큰 동기가 된다. 사용자가 작성한 상품평은 하나의 상품에 대해 실제 사용자의 좋고 나쁨에 대한 감정을 표현한 결과로, 개개인에 따라 긍정 또는 부정적인 의견으로 나눠진다. 상품평 중에서 소비자가 원하는 정보를 얻기 위해서는 이들을 일일이 수작업으로 확인해야하지만, 온라인 쇼핑몰에 상품평이 대용량으로 축적된 환경에서 이러한 작업은 비효율적일 수밖에 없다. 본 논문에서는 오피니언 마이닝 기술을 이용하여 제품 사용자의 주관적 의견을 자동으로 분류할 수 있는 감성분석 알고리즘을 제시한다. 본 논문에서 제시하는 알고리즘은 온라인 쇼핑몰에 등록된 개별 상품평을 대상으로 긍정 및 부정 의견으로 판단하여 요약된 결과를 제공하는 기능을 한다. 본 논문에서는 또한 제안된 알고리즘을 바탕으로 개발된 상품평 자동분석 시스템을 소개하고, 알고리즘의 효율성을 검증하기 위한 실험결과도 제시한다.

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토픽 모델링에 기반한 온라인 상품 평점 예측을 위한 온라인 사용 후기 분석 (Online Reviews Analysis for Prediction of Product Ratings based on Topic Modeling)

  • 박상현;문현실;김재경
    • 한국IT서비스학회지
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    • 제16권3호
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    • pp.113-125
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    • 2017
  • Customers have been affected by others' opinions when they make a purchase. Thanks to the development of technologies, people are sharing their experiences such as reviews or ratings through online or social network services, However, although ratings are intuitive information for others, many reviews include only texts without ratings. Also, because of huge amount of reviews, customers and companies can't read all of them so they are hard to evaluate to a product without ratings. Therefore, in this study, we propose a methodology to predict ratings based on reviews for a product. In a methodology, we first estimate the topic-review matrix using the Latent Dirichlet Allocation technic which is widely used in topic modeling. Next, we predict ratings based on the topic-review matrix using the artificial neural network model which is based on the backpropagation algorithm. Through experiments with actual reviews, we find that our methodology can predict ratings based on customers' reviews. And our methodology performs better with reviews which include certain opinions. As a result, our study can be used for customers and companies that want to know exactly a product with ratings. Moreover, we hope that our study leads to the implementation of future studies that combine machine learning and topic modeling.

Analyzing the Effect of Trust in Reviews on Trust in a Product and a Company: Using the Trust Transfer Theory

  • Namjae Cho;Xiaochen Li;Giseob Yu
    • Journal of Information Technology Applications and Management
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    • 제31권1호
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    • pp.57-77
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    • 2024
  • The aim of this research is to examine the impact of trust in reviews. Expertise, enjoyment, recency, and usefulness-four aspects of reviews-are designated as independent variables, and trust in reviews has been chosen as the mediating variable. The dependent variables are trust in firms and trust in products. For explaining the flow of trust, this study uses the theory of Trust Transfer. The study's findings demonstrated that customer trust in a product leads to consumer trust in a company, which is derived from trust in reviews. Reviews were found to be important from a practical standpoint. Furthermore, it was discovered that a product's category or features would have an impact on how reviews are trusted.

온라인 리뷰를 활용한 사용자 이해 및 서비스 가치 증대 (Enhancement of User Understanding and Service Value Using Online Reviews)

  • 김진화;변현수;이승훈
    • 한국정보시스템학회지:정보시스템연구
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    • 제20권2호
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    • pp.21-36
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    • 2011
  • The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes some contributions. Especially it proposes minimalism and chunking framework for analyzing and comparing consumer opinions of competing products. Users are able to clearly see the strengths and weaknesses of each product in the minds of consumers in terms of various product features. This comparison is useful to both potential customers and product manufacturers. For a product manufacturer, the comparison enables it to easily gather marketing intelligence and product benchmarking information. In this paper, we only focus on mining opinion/product features that the reviewers have commented on. Five types of online review presentations are presented to mine such features. Our experimental results show that these techniques are useful to identify customers' opinions and trends.

SNS 광고속성이 구매의도 및 브랜드 태도에 미치는 영향 - 설득지식의 조절효과를 중심으로 - (A Study on the Influence of SNS Advertisement Attributes on Purchase Intention and Brand Attitude - Focusing on the Moderating Effects of Persuasion Knowledge -)

  • 나윤빈
    • 한국콘텐츠학회논문지
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    • 제19권8호
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    • pp.58-68
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    • 2019
  • 최근 제품리뷰 형태의 SNS 광고가 늘어나고 있다. 이들 광고는 효과와 영향력에 비해 관리와 규제를 덜 받고 있어 소비자 불만 역시 증가하고 있다. 본 연구는 정보성, 오락성, 신뢰성, 친근성 등 제품리뷰 SNS 광고 속성이 소비자의 구매의도 및 브랜드 태도에 끼치는 영향을 알아보고자 하였다. 이 때 높아진 소비자 불만들로 인해 개개인이 구축한 설득지식은 광고효과에 영향을 끼칠 수 있을 것으로 예상되어 이를 조절효과로 살펴보았다. 240명의 제품리뷰 SNS 광고 이용자를 대상으로 설문한 결과, 광고 속성이 구매의도에 끼치는 영향 관계에서 설득지식의 조절효과는 오락성, 정보성이 채택되었고 광고 속성이 브랜드 태도에 끼치는 영향 관계에서는 오락성, 정보성, 친근성이 채택되었다.

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

  • 양정연;명재석;이상구
    • 한국정보과학회논문지:데이타베이스
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    • 제36권4호
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    • pp.254-262
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    • 2009
  • e비즈니스가 활발히 이루어지면서 소비자들은 온라인 쇼핑몰올 통해 수많은 상품을 접할 수 있게 되었고, 상품구매 시 다른 사람들의 리뷰를 참고하게 되었다. 하지만, 리뷰의 수도 많아짐에 따라 소비자가 모든 리뷰들을 살펴보기가 힘들다는 문제점이 대두되었으며 이를 해결하기 위해서 리뷰의 상품에 대한 평가를 요약하고 성향을 파악하는 오피니언 마이닝 연구가 나타나게 되었다. 본 논문에서는 상품리뷰를 대상으로 오피니언 마이닝을 수행하는 경우 어휘의 의견 성향을 파악할 때, 문맥정보를 활용하여 기존의 의견분류방법 보다 좀 더 정확한 의견 판단이 가능한 방법에 대해 다루고 있다. 이를 위해, 어휘가 사용될 때의 문맥정보를 정의하고 이를 의견분류에 적용하는 방법을 제안하였으며, 실험을 통하여 기존 연구 보다 상황별 알맞은 의견분류가 가능함을 보였다. 또한 수작업으로 말뭉치의 핵심 어휘들을 정의했던 기존 연구들에서의 방식에서 벗어나, 리뷰본문과 리뷰점수를 활용하여 자동으로 상황에 맞는 말뭉치를 구축하는 방법도 제안하였다. 이를 통해 상품리뷰에 나타난 어휘들의 문맥에 맞는 의미 성향을 정확하고 쉽게 판별해 낼 수 있게 되었다.

HMR 상품의 선택속성이 1인 가구의 소비자 구매의도에 미치는 영향 - 소비자 온라인 리뷰의 조절효과 중심으로 - (The Effect of Selection Attribute of HMR Product on the Consumer Purchasing Intention of an Single Household - Centered on the Regulation Effect of Consumer Online Reviews -)

  • 김희연
    • 한국조리학회지
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    • 제22권8호
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    • pp.109-121
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    • 2016
  • This study analyzed the effect of five sub-variables' attribute of HMR: features of information, diversity, promptness, price and convenience, on the consumer purchasing intention. In addition, the regulation effect of positive reviews and negative reviews of consumers' online reviews between HMR selection attribute and purchasing intention was also tested. Results are following. First, convenience feature (B=.577, p<.001) and diversity feature (B=.093, p<.01) among the effect of HMR selection attribute had a positive (+) effect on purchasing intention. On the other hand, promptness feature (B=.235, p<.001) and price feature (B=.161, p<.001), and information feature (B=.288, p<.001) were not significant effect on purchasing intention. Second, result of regulation effect of the positive reviews of consumer's online review between the selection attribute of the HMR product and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product is input as an independent variable, there was a significant positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In addition, there was significant positive (+) main effect (B=.472, p<.001) in the second step model in which the consumers' positive reviews, that is a regulation variable. Furthermore, the feature of price (B=.068, p<.05) had a significant positive (+) effect in the third stage in which the selection attribute of the HMR product that is an independent variable and the interaction of the positive review. However, the feature of information (B=-.063, p<.05) showed negative (-) effect, and there was no effect on the features of convenience, diversity, and promptness. Third, as a result of testing the regulation effect of the negative reviews of consumers' online reviews between HMR product selection attribute and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product was a positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In the second-stage model in which consumers' negative reviews (B=-.113, p<.001) had negative (-) effect. In the third-stage in which the selection attribute of the HMR product and the interactions of the negative reviews was a positive (+) effect with the feature of price (B=.113, p<.01). Last, there was no effect at all on the features of convenience, promptness, and information.