• Title/Summary/Keyword: 리뷰 신뢰도

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Digital Nudge in an Online Review Environment: How Uploading Pictures First Affects the Quality of Reviews (온라인 리뷰 환경에서의 디지털 넛지: 사진을 먼저 업로드 하는 행동이 리뷰의 품질에 미치는 영향 )

  • Jaemin Lee;Taeyoung Kim;HoGeun Lee
    • Information Systems Review
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    • v.25 no.1
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    • pp.1-26
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    • 2023
  • Consumers tend to trust information provided by other consumers more than information provided by sellers. Therefore, while inducing consumers to write high-quality reviews is a very important task for companies, it is not easy to produce such high-quality reviews. Based on previous research on review writing and memory recall, we decided to develop a way to use digital nudge to help consumers naturally write high-quality reviews. Specifically, we designed an experiment to verify the effect of uploading a photo during the online review process on the quality of review of the review writer. We then recruited subjects and then divided them into groups that upload photos first and groups that do not. A task was assigned to each subject to write positive and negative reviews. As a result, it was confirmed that the behavior of uploading a photo first increases the review length. In addition, it was confirmed that when online users who upload photos first have extremely negative satisfaction with the product, the extent of two-sidedness of the review content increases.

The Effect of Consumers' Value Motives on the Perception of Blog Reviews Credibility: the Moderation Effect of Tie Strength (소비자의 가치 추구 동인이 블로그 리뷰의 신뢰성 지각에 미치는 영향: 유대강도에 따른 조절효과를 중심으로)

  • Chu, Wujin;Roh, Min Jung
    • Asia Marketing Journal
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    • v.13 no.4
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    • pp.159-189
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    • 2012
  • What attracts consumers to bloggers' reviews? Consumers would be attracted both by the Bloggers' expertise (i.e., knowledge and experience) and by his/her unbiased manner of delivering information. Expertise and trustworthiness are both virtues of information sources, particularly when there is uncertainty in decision-making. Noting this point, we postulate that consumers' motives determine the relative weights they place on expertise and trustworthiness. In addition, our hypotheses assume that tie strength moderates consumers' expectation on bloggers' expertise and trustworthiness: with expectation on expertise enhanced for power-blog user-group (weak-ties), and an expectation on trustworthiness elevated for personal-blog user-group (strong-ties). Finally, we theorize that the effect of credibility on willingness to accept a review is moderated by tie strength; the predictive power of credibility is more prominent for the personal-blog user-groups than for the power-blog user groups. To support these assumptions, we conducted a field survey with blog users, collecting retrospective self-report data. The "gourmet shop" was chosen as a target product category, and obtained data analyzed by structural equations modeling. Findings from these data provide empirical support for our theoretical predictions. First, we found that the purposive motive aimed at satisfying instrumental information needs increases reliance on bloggers' expertise, but interpersonal connectivity value for alleviating loneliness elevates reliance on bloggers' trustworthiness. Second, expertise-based credibility is more prominent for power-blog user-groups than for personal-blog user-groups. While strong ties attract consumers with trustworthiness based on close emotional bonds, weak ties gain consumers' attention with new, non-redundant information (Levin & Cross, 2004). Thus, when the existing knowledge system, used in strong ties, does not work as smoothly for addressing an impending problem, the weak-tie source can be utilized as a handy reference. Thus, we can anticipate that power bloggers secure credibility by virtue of their expertise while personal bloggers trade off on their trustworthiness. Our analysis demonstrates that power bloggers appeal more strongly to consumers than do personal bloggers in the area of expertise-based credibility. Finally, the effect of review credibility on willingness to accept a review is higher for the personal-blog user-group than for the power-blog user-group. Actually, the inference that review credibility is a potent predictor of assessing willingness to accept a review is grounded on the analogy that attitude is an effective indicator of purchase intention. However, if memory about established attitudes is blocked, the predictive power of attitude on purchase intention is considerably diminished. Likewise, the effect of credibility on willingness to accept a review can be affected by certain moderators. Inspired by this analogy, we introduced tie strength as a possible moderator and demonstrated that tie strength moderated the effect of credibility on willingness to accept a review. Previously, Levin and Cross (2004) showed that credibility mediates strong-ties through receipt of knowledge, but this credibility mediation is not observed for weak-ties, where a direct path to it is activated. Thus, the predictive power of credibility on behavioral intention - that is, willingness to accept a review - is expected to be higher for strong-ties.

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Investigation of Factors Affecting the Effects of Online Consumer Reviews (온라인 소비자 리뷰의 효과에 영향을 미치는 요인에 대한 고찰)

  • Lee, Ho Geun;Kwak, Hyun
    • Informatization Policy
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    • v.20 no.3
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    • pp.3-17
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    • 2013
  • As electronic marketplaces grow and a large number of consumers exchange their opinions on products and services on the Internet, many studies have been conducted in the area of online consumer reviews. This paper analyzes the research trend of the online consumer reviews by investigating those studies in an attempt to provide future research directions. Many researchers have focused on the effects of online reviews on consumer behaviors as well as the usefulness of the online reviews. In particular, review contents, characteristics of reviewers/consumers and features of products/services have been identified as influencing factors on the effects of the online consumer reviews. For the review contents, the number and the volume of the contents have increasing effects on the online reviews, while the direction (positive vs. negative) of the contents has resulted in conflicting effects of the review. The reputation and trustfulness of reviewers, consumers' prior knowledge on the products, consumers' product involvement, and types of the products were investigated as these factors influence the effectiveness of the online consumer reviews. Social media (such as Facebook and Twitter) nowadays play an important role to disseminate online reviews among consumers. Thus, it is necessary to study how social media influence the effects of online reviews on consumers. Since some firms abuse the online reviews for their own sakes, we recognize the necessity for empirical studies on the side effects of the online reviews.

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A multi-channel CNN based online review helpfulness prediction model (Multi-channel CNN 기반 온라인 리뷰 유용성 예측 모델 개발에 관한 연구)

  • Li, Xinzhe;Yun, Hyorim;Li, Qinglong;Kim, Jaekyeong
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.171-189
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    • 2022
  • Online reviews play an essential role in the consumer's purchasing decision-making process, and thus, providing helpful and reliable reviews is essential to consumers. Previous online review helpfulness prediction studies mainly predicted review helpfulness based on the consistency of text and rating information of online reviews. However, there is a limitation in that representation capacity or review text and rating interaction. We propose a CNN-RHP model that effectively learns the interaction between review text and rating information to improve the limitations of previous studies. Multi-channel CNNs were applied to extract the semantic representation of the review text. We also converted rating into independent high-dimensional embedding vectors representing the same dimension as the text vector. The consistency between the review text and the rating information is learned based on element-wise operations between the review text and the star rating vector. To evaluate the performance of the proposed CNN-RHP model in this study, we used online reviews collected from Amazom.com. Experimental results show that the CNN-RHP model indicates excellent performance compared to several benchmark models. The results of this study can provide practical implications when providing services related to review helpfulness on online e-commerce platforms.

User Review Selection Method using Kano Model in Application Market (어플리케이션 마켓에서 카노 모델을 이용한 사용자 리뷰 선별 방법)

  • Kim, Neunghoe
    • Journal of Industrial Convergence
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    • v.18 no.2
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    • pp.95-100
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    • 2020
  • Among the customer-oriented data used to comprehend the customer, the user review data has received much attention as it provides insights into customer opinion in a detailed and large-scale manner; many customers have come to rely upon and trust the user reviews. Many application developers are cognizant of the importance of user reviews, so they monitor and respond to these reviews. However, due to the absence of a systematic method, developers have been investing their time and money without clear correlation to the customer satisfaction. Therefore, this paper suggests a systematic method to select user reviews from the application market using the Kano Model that deals with customer satisfaction and service quality, thereby maximizing the customer satisfaction under the given time period and budget. This method is constructed in the following phases: the user review collection and requirement elicitation phase in which the developers collect user reviews from the application market and elicit requirements, the Kano Model application and selection phase in which the Kano Model is applied to the elicited requirements and selection occurs based on the quality type, and the stakeholder review and redefinition phase in which relevant personnel gather to review and redefine requirements from an internal perspective.

Analysis of the Relationship between Service Quality, Satisfaction and Repurchase Intention of On-line Fashion Shopping Malls and the Moderating Effect of Online Reviews (중국 온라인 패션쇼핑몰의 서비스 품질, 만족, 재구매의도간의 관계 및 온라인 리뷰의 조절효과 분석)

  • Jiang, Bao-Zhi;Lee, Young-sook;Lee, Jieun
    • Journal of Internet of Things and Convergence
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    • v.8 no.5
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    • pp.47-54
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    • 2022
  • The development of the Internet of Things led to new services that did not exist before. This required a change to the existing network. This study aims to verify the service quality, satisfaction, repurchase intention relationship, and the moderating effect of online reviews of Chinese consumers using fashion shopping malls. The results of the study showed that from the perspective of consumers in their 20s and 30s in China, the type, reliability, convenience, and interaction of service quality had a positive effect on customer satisfaction and repurchase intention. In addition, negative reviews among online reviews had a great influence on repurchase intention. Based on the results of the study, it will help improve the effect on online product reviews and in-depth understanding of the acceptance of online product reviews for online fashion shopping malls, and establish strategies for fashion companies to effectively manage online product reviews information.

온라인쇼핑몰의 피드백 시스템 설계에 관한 연구

  • Kim, Gyeong-Mi;Jeon, Byeong-Ho;Gang, Byeong-Gu
    • 한국경영정보학회:학술대회논문집
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    • 2007.06a
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    • pp.372-377
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    • 2007
  • 다양한 상품의 거래와 다양한 거래방식의 등장으로 인하여 온라인상에서 신뢰의 문제는 매우 큰 관심이 되고 있다. 이에 본 연구에서는 오픈마켓의 구매의견 내용의 분석을 통해 현재 운영중인 피드백 시스템이 신뢰구축과 관련된 요인들을 적절히 반영하고 있는지 살펴보았다. 총 2000건의 구매의견 내용의 분석 결과 항목별 가중치의 부여와 제품속성을 반영한 항목 구성이 필요할 것으로 본다.

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Implementation of a Code Review Tool Using Git History (Git 히스토리를 이용한 코드리뷰 도구 구현)

  • Oh, Chang Uk;Jung, Hyeon Oh;Park, Hyun suk;Son, Myeong Hee;Park, Hyeok Ju;Kang, Dong Ok;Lee, Yong Kyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.33-36
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    • 2018
  • 코드리뷰는 소프트웨어의 신뢰성을 향상시키며, 개발 기간을 단축시킨다. 기존의 코드리뷰 도구들은 문법적인 오류는 검출하지만, 논리적인 오류를 찾아내지 못하는 한계가 있다. 본 논문에서는 Git 히스토리를 이용하여 코드 간의 연관성 그래프를 만들고, 이를 이용하여 논리적인 오류를 찾아내는 도구를 구현하였다. 코드상의 논리적 오류를 검출하여 프로그램 개발을 용이하게 하고, 내부에 잠재되어 있는 결함을 예방할 수 있다.

The Impacts of Volume and Valence of eWOM on Purchase Intention for Movies: Mediation of Review Credibility (온라인 구전의 양과 방향성이 영화 관람의도에 미치는 영향: 리뷰 신뢰성의 매개효과)

  • Han, Seungji;Kim, Joongin
    • The Journal of the Korea Contents Association
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    • v.21 no.7
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    • pp.93-104
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    • 2021
  • Most of the existing studies on the volume and valence of the eWOM (electronic word of mouth) about movies and box-office revenues were conducted using online actual data (secondary data) at Yahoo Movies, IMDB.com, Naver Movies, etc. However, it is difficult to grasp psychological variables from online actual data. Therefore, existing studies using online actual data could not identify the causal relationship among volume, valence and psychological variables. This study fills this gap in the literature. This study aims to examine the direct and indirect effects (i.e. mediating effect) of the volume and valence of online reviews about movies on purchase intention through review credibility as a mediator. We conducted a survey on the South Korean consumers and a structural equation modeling. The outcomes show that the total effects of both volume and valence are significant. In addition, volume has an indirect effect only (i.e. full mediating effect) on purchase intention through review credibility, but valence has both direct and indirect effects (i.e. partial mediating effect) on purchase intention through review credibility. The theoretical and practical implications for these results are presented.