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Open AccessJournal ArticleDOI

Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets

TLDR
In this paper, the authors used a unique data set based on both chronologically compiled ratings as well as reviewer characteristics for a given set of products and geographical location-based purchasing behavior from Amazon, and provided evidence that community norms are an antecedent to reviewer disclosure of identity-descriptive information.
Abstract
Consumer-generated product reviews have proliferated online, driven by the notion that consumers' decision to purchase or not purchase a product is based on the positive or negative information about that product they obtain from fellow consumers. Using research on information processing as a foundation, we suggest that in the context of an online community, reviewer disclosure of identity-descriptive information is used by consumers to supplement or replace product information when making purchase decisions and evaluating the helpfulness of online reviews. Using a unique data set based on both chronologically compiled ratings as well as reviewer characteristics for a given set of products and geographical location-based purchasing behavior from Amazon, we provide evidence that community norms are an antecedent to reviewer disclosure of identity-descriptive information. Online community members rate reviews containing identity-descriptive information more positively, and the prevalence of reviewer disclosure of identity information is associated with increases in subsequent online product sales. In addition, we show that shared geographical location increases the relationship between disclosure and product sales, thus highlighting the important role of geography in electronic commerce. Taken together, our results suggest that identity-relevant information about reviewers shapes community members' judgment of products and reviews. Implications for research on the relationship between online word-of-mouth WOM and sales, peer recognition and reputation systems, and conformity to online community norms are discussed.

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Book

Opinion Mining and Sentiment Analysis

TL;DR: This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems and focuses on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis.
Journal ArticleDOI

Do online reviews matter? - An empirical investigation of panel data

TL;DR: The result shows that the rating of online user reviews has no significant impact on movies' box office revenues after accounting for the endogeneity, indicating that online user Reviews have little persuasive effect on consumer purchase decisions.
Posted Content

Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities

TL;DR: In this article, the authors overview and synthesize extant word of mouth theory and present a study of a marketing campaign in which mobile phones were seeded with prominent bloggers, revealing the complex cultural conditions through which marketing "hype" is transformed by consumers into the "honey" of relevant, shared communications.
Journal ArticleDOI

Networked narratives: Understanding word-of-mouth marketing in online communities

TL;DR: In this paper, the authors present a study of a marketing campaign in which mobile phones were seeded with prominent bloggers and the findings indicate that this network of communications offers four social media communication strategies: evaluation, embracing, endorsement, and explanation.
Journal ArticleDOI

What makes a helpful online review? a study of customer reviews on amazon.com

TL;DR: In this paper, the authors developed and tested a model of customer review helpfulness, based on the paradigm of search and experience goods from information economics, and found that review extremity, review depth, and product type affect the perceived helpfulness of the review.
References
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Book

Econometric Analysis of Cross Section and Panel Data

TL;DR: This is the essential companion to Jeffrey Wooldridge's widely-used graduate text Econometric Analysis of Cross Section and Panel Data (MIT Press, 2001).
Book

Multiple Regression: Testing and Interpreting Interactions

TL;DR: In this article, the effects of predictor scaling on the coefficients of regression equations are investigated. But, they focus mainly on the effect of predictors scaling on coefficients of regressions.
Journal ArticleDOI

The need to belong: Desire for interpersonal attachments as a fundamental human motivation.

TL;DR: Existing evidence supports the hypothesis that the need to belong is a powerful, fundamental, and extremely pervasive motivation, and people form social attachments readily under most conditions and resist the dissolution of existing bonds.
Journal ArticleDOI

Rediscovering the social group: A self-categorization theory.

TL;DR: In this paper, a self-categorization theory is proposed to discover the social group and the importance of social categories in the analysis of social influence, and the Salience of social Categories is discussed.
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