Reducing buyer search costs: implications for electronic marketplaces
Management Science - Special issue: Frontier research on information systems and economics
Building Effective Online Marketplaces with Institution-Based Trust
Information Systems Research
Third-Party Product Review and Firm Marketing Strategy
Marketing Science
Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites
Information Systems Research
Understanding Determinants of Online Consumer Satisfaction: A Decision Process Perspective
Journal of Management Information Systems
Journal of Management Information Systems
When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry
Journal of Management Information Systems
Consumer Search and Retailer Strategies in the Presence of Online Music Sharing
Journal of Management Information Systems
Persuasion in Recommender Systems
International Journal of Electronic Commerce
Do online reviews affect product sales? The role of reviewer characteristics and temporal effects
Information Technology and Management
Information Systems Research
DESRIST'11 Proceedings of the 6th international conference on Service-oriented perspectives in design science research
Estimating sequential bias in online reviews: A Kalman filtering approach
Knowledge-Based Systems
Consumers rule: How consumer reviews influence perceived trustworthiness of online stores
Electronic Commerce Research and Applications
Analyzing Online Review Helpfulness Using a Regressional ReliefF-Enhanced Text Mining Method
ACM Transactions on Management Information Systems (TMIS)
To whom should I listen? Finding reputable reviewers in opinion-sharing communities
Decision Support Systems
Electronic Commerce Research and Applications
Computers in Human Behavior
A generic approach to generate opinion lists of phrases for opinion mining applications
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
International Journal of Networking and Virtual Organisations
Understanding price/value rating in online consumer review
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
Beyond Recommendations: Local Review Web Sites and Their Impact
ACM Transactions on Computer-Human Interaction (TOCHI)
Electronic Commerce Research and Applications
Measuring the coverage and redundancy of information search services on e-commerce platforms
Electronic Commerce Research and Applications
The Effect of Online Consumer Reviews on New Product Sales
International Journal of Electronic Commerce
Journal of Management Information Systems
Why different motives matter in sustaining online contributions
Electronic Commerce Research and Applications
On identifying user complaints of iOS apps
Proceedings of the 2013 International Conference on Software Engineering
Evaluation of an algorithm for aspect-based opinion mining using a lexicon-based approach
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining
Assisting user browsing over linked data: requirements elicitation with a user study
ICWE'13 Proceedings of the 13th international conference on Web Engineering
Scope of ontological annotation in e-commerce
International Journal of Business Information Systems
Electronic Commerce Research and Applications
An empirical study of information contribution to online feedback systems: A motivation perspective
Information and Management
Predicting the helpfulness of online reviews using multilayer perceptron neural networks
Expert Systems with Applications: An International Journal
Computers in Human Behavior
Networked individuals predict a community wide outcome from their local information
Decision Support Systems
Was this review helpful to you?: it depends! context and voting patterns in online content
Proceedings of the 23rd international conference on World wide web
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Customer reviews are increasingly available online for a wide range of products and services. They supplement other information provided by electronic storefronts such as product descriptions, reviews from experts, and personalized advice generated by automated recommendation systems. While researchers have demonstrated the benefits of the presence of customer reviews to an online retailer, a largely uninvestigated issue is what makes customer reviews helpful to a consumer in the process of making a purchase decision. Drawing on the paradigm of search and experience goods from information economics, we develop and test a model of customer review helpfulness. An analysis of 1,587 reviews from Amazon.com across six products indicated that review extremity, review depth, and product type affect the perceived helpfulness of the review. Product type moderates the effect of review extremity on the helpfulness of the review. For experience goods, reviews with extreme ratings are less helpful than reviews with moderate ratings. For both product types, review depth has a positive effect on the helpfulness of the review, but the product type moderates the effect of review depth on the helpfulness of the review. Review depth has a greater positive effect on the helpfulness of the review for search goods than for experience goods. We discuss the implications of our findings for both theory and practice.