Helpfulness of online reviews: Examining review informativeness and classification thresholds by search products and experience products

Sun, Xinyu; Han, Maoxin; Feng, Juan

doi:10.1016/j.dss.2019.113099

Cited by 139 publications

(94 citation statements)

References 68 publications

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“…In the context of GOSC, user gratifications manifest in different angles. For example, recent studies have shown that many other factors, such as rich user experience [74][75][76][77][78], and value-added customer services [79][80][81] exert powerful impacts on users' behaviors, since more and more customers prefer to receive gratification from different channels, in addition to having it through price value only. However, this study suggests that promotion strategies, such as discount and red envelopes, can raise the perceived price value of products in GOSC, thus, retaining consumers' platform usage in the long run.…”

Section: The Linkage Between Cognitive/emotional States and Consumer mentioning

confidence: 99%

Exploring Determinants of Consumers’ Platform Usage in “Double Eleven” Shopping Carnival in China: Cognition and Emotion from an Integrated Perspective

Wang

Zhao

2020

Sustainability

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There is a great deal of interest concerning how e-commerce in China can be developed in sustainable ways. Answering this question requires not only the strategic management at the aggregate level, but also developing a micro framework that can effectively understand the cognitive-behavioral pathway of consumers in various online contexts. This paper focuses on the “Double Eleven” Global Online Shopping Carnival (GOSC) in China and attempts to investigate the determinants of consumers’ behaviors of shopping platform usage. The distinguishing feature of this study is that we define GOSC as a unique scenario compared to normal online shopping context, where consumers’ emotional state towards such an event plays a larger role in determining behaviors. Based on Cognitive Emotion Theory (CET), the main findings of this paper suggest that (1) consumers’ behaviors of online platform usage can be affected by both cognitions related factors, including price value, gamification and personalized services, and by emotional state such as having arousal and being pleasured; (2) cognition has an effect on emotional state, such as the positive effect of price value on arousal and pleasure or gamification on arousal. Our study, therefore, has highlighted a number of key points to the sustainable development of GOSC. Limitations and further research directions are also discussed.

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Section: The Linkage Between Cognitive/emotional States and Consumer mentioning

confidence: 99%

Exploring Determinants of Consumers’ Platform Usage in “Double Eleven” Shopping Carnival in China: Cognition and Emotion from an Integrated Perspective

Wang

Zhao

2020

Sustainability

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“…There have been some existing studies on informativeness and intrusiveness and how such concerns may influence users' attitudes toward advertising and product purchase intentions [8][9][10][11][12][13][14][15][16]. Generally, informativeness is defined as the information value provided by media like texts, images, or videos [11] and intrusiveness is defined as the degree to which people deem the presentation of information as contrary to their goals [14]. Both informativeness and intrusiveness have been regarded as key factors to predict the helpfulness of messages in the research of social networks.…”

Section: Short-video Advertisingmentioning

confidence: 99%

Health Advertising on Short-Video Social Media: A Study on User Attitudes Based on the Extended Technology Acceptance Model

Zhao

Wang

2020

IJERPH

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The rapid development of short-video social network platforms provides us with an opportunity to conduct health-related advertising and recommendation. However, so far, there are no empirical evidence on whether users are willing to accept health-related short-video advertisements. Here, acceptance refers to purchase intention, meaning that users will read short-video ads, share ads with others, or even open the product link embedded in ads to purchase the product. In this paper, we make the first attempt to model and quantify user acceptance of health-related short-video advertisements. Particularly, we propose a new research model that enhances the Technology Acceptance Model (TAM) with two new designs. First, we propose four new antecedents including social interaction, intrusiveness, informativeness, and relevance into the original TAM to reflect the features of short-video social networks. Second, we introduce two mediator variables including perceived usefulness and attitude so that we can better study how different factors affect user acceptance of health-related short-video ads. We perform a survey on the Internet and conduct an empirical analysis of the surveyed data. The results show that the four antecedents as well as the perceived ease of use have significant influences on perceived usefulness, attitude, and purchase intention. Further, perceived usefulness plays a valid mediating role in attitude and purchase intention. We also found that users’ perceived ease of use on health-related short-video ads cannot significantly predict users’ attitudes toward ads. This is a new finding in social media-oriented ads. Finally, we integrate the empirical findings and present reasonable suggestions for advertisers and marketers to promote health-related short-video ads.

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“…The reviews with higher ratings were found to be less helpful than those with lower rating [77]. Sun et al [78] have shown that the perceived helpfulness of online reviews has been influenced by the type of product i.e., experience or search. Moreover, it has been reported that different classification thresholds are needed for both types of products.…”

Section: B Features For Predicting Review Helpfulnessmentioning

confidence: 99%

“…The reviewer popularity and experience feature, i.e. number of compliments [52], number of friends [52], number of fans [52], number of reviews [38], [50]- [53], [68], [77], useful votes [38], [50]- [53], [75], [80], average useful votes [53], [77], credibility [39], [50], [51], [54], [78], recency [50], [53], frequency [50], [53], monetary [50], [53] and country [51] has been listed in literature. Whereas very few studies have attempted to explore the relationship between the reviewer's rating behavior and helpfulness of their reviews [29], [63].…”

Section: B Features For Predicting Review Helpfulnessmentioning

confidence: 99%

“…The regression model based on all features is given by Equation 20 Keeping the dependent variable in its original form, Poisson or Negative Binomial regression models can be used in this study. Since the variance and mean of the dependent variable is not equal, we used Negative Binomial regression as used in previous studies [29], [78], [82], [104]. Moreover, for both models, we perform the logarithmic transformation of independent variables that are right-skewed.…”

Section: Data Analysis and Modelingmentioning

confidence: 99%

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Profiling Users’ Behavior, and Identifying Important Features of Review “Helpfulness”

et al. 2020

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The increasing volume of online reviews and the use of review platforms leave tracks that can be used to explore interesting patterns. It is in the primary interest of businesses to retain and improve their reputation. Reviewers, on the other hand, tend to write reviews that can influence and attract people's attention, which often leads to deliberate deviations from past rating behavior. Until now, very limited studies have attempted to explore the impact of user rating behavior on review helpfulness. However, there are more perspectives of user behavior in selecting and rating businesses that still need to be investigated. Moreover, previous studies gave more attention to the review features and reported inconsistent findings on the importance of the features. To fill this gap, we introduce new and modify existing business and reviewer features and propose a user-focused mechanism for review selection. This study aims to investigate and report changes in business reputation, user choice, and rating behavior through descriptive and comparative analysis. Furthermore, the relevance of various features for review helpfulness is identified by correlation, linear regression, and negative binomial regression. The analysis performed on the Yelp dataset shows that the reputation of the businesses has changed slightly over time. Moreover, 46% of the users chose a business with a minimum of 4 stars. The majority of users give 4-star ratings, and 60% of reviewers adopt irregular rating behavior. Our results show a slight improvement by using user rating behavior and choice features. Whereas, the significant increase in R 2 indicates the importance of reviewer popularity and experience features. The overall results show that the most significant features of review helpfulness are average user helpfulness, number of user reviews, average business helpfulness, and review length. The outcomes of this study provide important theoretical and practical implications for researchers, businesses, and reviewers. INDEX TERMS Business reputation, rating behavior, review helpfulness, user profiling, crowd-sourced reviews.

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Helpfulness of online reviews: Examining review informativeness and classification thresholds by search products and experience products

Cited by 139 publications

References 68 publications

Exploring Determinants of Consumers’ Platform Usage in “Double Eleven” Shopping Carnival in China: Cognition and Emotion from an Integrated Perspective

Exploring Determinants of Consumers’ Platform Usage in “Double Eleven” Shopping Carnival in China: Cognition and Emotion from an Integrated Perspective

Health Advertising on Short-Video Social Media: A Study on User Attitudes Based on the Extended Technology Acceptance Model

Profiling Users’ Behavior, and Identifying Important Features of Review “Helpfulness”

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