• 제목/요약/키워드: Online reviews

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Exploration of Fit Reviews and its Impact on Ratings of Rental Dresses

  • Shin, Eonyou;McKinney, Ellen
    • Fashion, Industry and Education
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    • 제15권2호
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    • pp.1-10
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    • 2017
  • The purposes of this study were to explore (1) how fit reviews differ among height groups and (2) how overall numerical ratings differ depending on height groups and ifferent types of fit reviews. Content analysis was used to analyze systematically sampled online consumer reviews (OCRs) of formalwear dresses rented online. In part 1, 201 OCRs were analyzed to develop the coding scheme, which included three aspects of fit (physical, aesthetic, and functional), valence (negative, neutral, positive), and overall numerical rating. In part 2, 600 OCRs were coded and statistically analyzed. Differences in frequency were not found among height groups for any types of mentions (negative, neutral, and positive) in terms of the three aspects of fit in the OCRs. Differences in overall mean ratings were not found among height groups. Interestingly, valence of each aspect of fit reviews affected mean numeric ratings. This study is new in examining relationships among textual information (i.e., fit reviews), numerical information (i.e., numerical rating), and reviewer's characteristic (i.e., height). The results of this study offered practical implications for etailers and marketers that they should pay attention to the three aspects of fit reviews and monitor garments with negative fit evaluations for lower ratings. They may attempt to increase ratings by providing customers recommendations to get a better fit.

Are Longer and More Negative Online Reviews More Helpful? - The Mediating Role of Consumers' Perceived Usefulness of Reviews

  • Weiyu Zhang;Xinyue Li;MoonSeop Kim
    • 아태비즈니스연구
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    • 제14권1호
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    • pp.295-311
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    • 2023
  • Purpose - This study investigates how review length and sentiment impact consumers' purchase intentions, using real online reviews as the data source. The study aims to understand how the length and tone of a review affect a potential buyer's decision-making process when considering a purchase. Design/methodology/approach - A 2 (comment length: long vs. short) × 2 (comment sentiment: positive vs. negative) × 2 (product type: practical vs. hedonic) experiment was conducted. Findings - Results indicate that longer reviews have a greater impact on consumers' perceived usefulness compared to short reviews, but do not affect purchase intentions. Review sentiment is found to have a stronger impact than review length, especially for negative sentiment. The study also suggests that consumers pay more attention to reviews of practical products, and that reviews have less influence on hedonic products. Research implications or Originality - The implications of these findings are relevant for both merchants managing reviews and consumers reviewing products.The results of this research could help businesses and marketers optimize their online review strategies to maximize their impact on consumer behavior.

온라인 사용후기 방향성이 정보 신뢰성과 제품태도에 미치는 영향 - 쇼핑경험과 제품유형의 조절적 역할 - (Effects of the Direction of Online Reviews on Information Reliability and Product Attitude - Base on the Moderating Role of Shopping Experience and Product Type -)

  • 문재학
    • 경영과정보연구
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    • 제33권4호
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    • pp.49-62
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    • 2014
  • 본 연구는 온라인 사용후기 방향성이 정보 신뢰성과 제품태도에 미치는 영향을 분석하고 소비자의 온라인 쇼핑경험과 제품유형의 조절효과를 규명하는데 그 목적이 있다. 온라인 사용후기를 제품의 장점만을 언급하는 일면 메시지와 장단점을 함께 언급하는 양면 메시지로 분류하고, 제품유형을 기능재와 쾌락재로 분류하여 실험물을 제작하였다. 또한 소비자의 온라인 쇼핑경험이 많은 집단과 적은 집단으로 구분하여 가설 검증에 사용하였다. 연구결과, 온라인 사용후기 방향성은 정보 신뢰성과 제품태도에 모두 유의한 영향을 미치는 것으로 나타났으며, 쇼핑경험의 조절효과는 정보 신뢰성과 제품태도에 모두 유의한 것으로 조사되었다. 온라인 사용후기가 정보 신뢰성에 미치는 영향에서 제품유형의 조절효과는 유의한 것으로 나타났으나, 제품태도에는 유의한 조절역할을 하지 않은 것으로 나타났다. 그리고 본 연구의 결론에서는 연구결과에 따른 시사점과 한계점을 논의하고, 향후 연구방향을 제시하였다.

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

  • PARK, Sunju;CHUNG, Seungwha (Andy);LEE, Seungyong
    • 유통과학연구
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    • 제17권5호
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    • pp.85-94
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    • 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.

A Study of Online Reviews Affecting Non-Face-to-Face Shopping

  • LYU, Moon Sang
    • 산경연구논집
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    • 제14권1호
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    • pp.67-74
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    • 2023
  • Purpose: This study aims to investigate how the online review usefulness affect consumers' shopping behavior in non-face-to-face shopping, which is now very common format of shopping environment after COVID-19 pandemic. Factors influencing online reviews were determined as quantity of review, agreement of review and characteristic of review based on research by existing researchers. Research design, data, and methodology: Customers in their teens to 60s who had experience of checking online reviews and purchasing products were surveyed using a Google questionnaire form from January 15, 2022 to February 19, 2022. To verify the validity and reliability of the research model, confirmatory factor analysis and discriminant validity analysis were conducted. In addition, the causal relationship between factors was verified through path analysis. Results: As a result, quantity of review and agreement of review had a statistically significant effect on review usefulness. However, characteristic of review did not have a statistically significant influence on review usefulness. And review usefulness had a statistically significant effect on attitude and purchase intention. Conclusions: This study investigated the factors affecting usefulness of online reviews and empirically analyzed the effects of online reviews on consumer attitudes and purchase intentions providing practical and theoretical implications for corporate online review management.

The Impact of Online Reviews on Hotel Ratings through the Lens of Elaboration Likelihood Model: A Text Mining Approach

  • Qiannan Guo;Jinzhe Yan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권10호
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    • pp.2609-2626
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    • 2023
  • The hotel industry is an example of experiential services. As consumers cannot fully evaluate the online review content and quality of their services before booking, they must rely on several online reviews to reduce their perceived risks. However, individuals face information overload owing to the explosion of online reviews. Therefore, consumer cognitive fluency is an individual's subjective experience of the difficulty in processing information. Information complexity influences the receiver's attitude, behavior, and purchase decisions. Individuals who cannot process complex information rely on the peripheral route, whereas those who can process more information prefer the central route. This study further discusses the influence of the complexity of review information on hotel ratings using online attraction review data retrieved from TripAdvisor.com. This study conducts a two-level empirical analysis to explore the factors that affect review value. First, in the Peripheral Route model, we introduce a negative binomial regression model to examine the impact of intuitive and straightforward information on hotel ratings. In the Central Route model, we use a Tobit regression model with expert reviews as moderator variables to analyze the impact of complex information on hotel ratings. According to the analysis, five-star and budget hotels have different effects on hotel ratings. These findings have immediate implications for hotel managers in terms of better identifying potentially valuable reviews.

인터넷 점포에서의 구매후기 작성 동기 및 점포 고객 유형화 (Motives for Writing After-Purchase Consumer Reviews in Online Stores and Classification of Online Store Shoppers)

  • 홍희숙;류성민
    • 한국유통학회지:유통연구
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    • 제17권3호
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    • pp.25-57
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    • 2012
  • 본 연구에서는 인터넷 점포에서 의류상품 구매후기를 작성하는 동기의 유형을 규명하는 한편 작성 동기 유형에 따라 인터넷 점포 고객들을 범주화하고, 각 집단의 작성행동, 인터넷 구매 행동, 인구사회적 특성의 차이를 규명하였다. 초점집단 면접과 온라인 서베이를 통해 연구되었으며, 정량적 연구에서는 의류상품 구매후기를 읽은 경험과 작성한 경험이 많은 국내 인터넷 점포 여성 고객 252명을 대상으로 자료가 수집되었다. 연구결과, 인터넷 점포에서 구매후기를 작성하는 동기 유형은 이타적 정보 공유, 불만해소 및 보복, 경제적 보상 추구, 상품 개발 지원, 감동 표현으로 나타났다. 특히, 작성행동에 대한 영향력이 큰 동기는 이타적 정보 공유 동기와 경제적 보상 추구 동기였다. 인터넷 점포 고객은 작성동기 유형에 따라 소비자 옹호 집단, 이익 추구 집단, 중도적 집단으로 범주화되었으며, 세 집단은 구매후기 작성행동, 인터넷 구매빈도, 인구사회적 요인들에서 차별적 특성을 보였다. 소비자 옹호 집단과 이익 추구 집단을 대상으로 인터넷 점포 구전 채널 관리 방안이 제시되었다.

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기능성 화장품의 온라인 사용 후기 신뢰도가 브랜드 선호도, 광고 신뢰도 및 구매의도에 미치는 영향 - 자외선 차단제의 긍정적 사용 후기를 중심으로 - (The effect of consumer trust on positive online reviews of cosmetics)

  • 박지혜;김미숙;황춘섭
    • 복식문화연구
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    • 제25권6호
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    • pp.831-846
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    • 2017
  • Considering that the effectiveness of ads varies according to the credibility of consumers, it is necessary to establish data regarding consumer credibility in relation to online reviews. To conduct a successful study on the marketing strategies of online reviews, it is also necessary to analyze the relationship between credibility and the various factors that influence the purchase intentions of consumers. Therefore, this study attempted to examine the relationship between consumer trust of on-line reviews, brand preference, ads credibility, and purchase intentions in relation to cosmetics. The study was conducted through a normative descriptive survey method using stimuli and a self-administered questionnaire. Analysis of the structural equation model was conducted for the data analysis. The results revealed that consumer reliance on online reviews of cosmetics influences brand preference, credibility of brand ads and purchase intentions. The results also revealed that consumers' on-line reviews, brand preference, and trust of brand ads are important factors for increasing the purchase intentions. The mediation effect of brand preference and brands' ads credibility were found in the process where on-line reviews exercise an influence on the purchase intentions. It was also found that brand preference has a stronger influence on purchase intention than credibility of brand ads. It was discovered that the credibility of on-line reviews directly influences purchase intentions more than indirectly influences. Considering the results of this study, programs that encourage customers to post on-line reviews, and strategies to promote brand preference by targeting groups that exhibit high trust in online reviews would be recommended.

온라인 게임 리뷰의 특성이 리뷰 유용성에 미치는 영향: 토픽모델링을 활용하여 (The Impacts of Online Game Reviews' Characteristics on Review Helpfulness: Based on Topic Modeling Analysis)

  • 배성훈;김현묵;이의준;이새롬
    • 한국정보시스템학회지:정보시스템연구
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    • 제31권4호
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    • pp.161-187
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    • 2022
  • Purpose This study analyzed the topic of game review contents and how the characteristics of game reviews affect the reviews helpfulness. In addition, this study explore the content of game reviews according to the game's sales strategy such as early access strategy and releasing without early access. Design/methodology/approach We collected a list of 3,572 action genre games released in 2020. 58,336 online reviews were collected by random sampling 50 reviews in each games, and topic modeling was performed on those reviews. We dynamized the results of topic modeling and analyzed the effect on review helpfulness with multiple regression analysis. Findings The results of analysis indicate that the longer the review is or the shorter the time it is written, the more helpful the review is. In addition the topic with positive and negative review has a significant effect on the review helpfulness. As a result of exploratory analysis, games from early access had relatively fewer reviews of story-related topics than games that were released without early access. These findings can present direct guidelines for collecting specific opinions from customers in the game industry when releasing games.

Determinants of Online Review Helpfulness for Korean Skincare Products in Online Retailing

  • OH, Yun-Kyung
    • 유통과학연구
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    • 제18권10호
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    • pp.65-75
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    • 2020
  • Purpose: This study aims to examine how to review contents of experiential and utilitarian products (e.g., skincare products) and how to affect review helpfulness by applying natural language processing techniques. Research design, data, and methodology: This study uses 69,633 online reviews generated for the products registered at Amazon.com by 13 Korean cosmetic firms. The authors identify key topics that emerge about consumers' use of skincare products such as skin type and skin trouble, by applying bigram analysis. The review content variables are included in the review helpfulness model, including other important determinants. Results: The estimation results support the positive effect of review extremity and content on the helpfulness. In particular, the reviewer's skin type information was recognized as highly useful when presented together as a basis for high-rated reviews. Moreover, the content related to skin issues positively affects review helpfulness. Conclusions: The positive relationship between extreme reviews and helpfulness of reviews challenges the findings from prior literature. This result implies that an in-depth study of the effect of product types on review helpfulness is needed. Furthermore, a positive effect of review content on helpfulness suggests that applying big data analytics can provide meaningful customer insights in the online retail industry.