On risk, convenience, and Internet shopping behavior
Communications of the ACM
Versioning information goods with network externalities
ICIS '00 Proceedings of the twenty first international conference on Information systems
Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics
Information Systems Research
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Situational influences on ethical decision-making in an IT context
Information and Management
When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry
Journal of Management Information Systems
Journal of Management Information Systems
DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
The long tail or the short tail: The category-specific impact of eWOM on sales distribution
Decision Support Systems
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
The impact of electronic word-of-mouth communication: A literature analysis and integrative model
Decision Support Systems
An Examination of Factors Associated with User Acceptance of Social Shopping Websites
International Journal of Technology and Human Interaction
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
An empirical study of information contribution to online feedback systems: A motivation perspective
Information and Management
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We examined the actions of a customer when inferring product information from electronic word-of-mouth (eWOM) material at a website. We developed a customer purchase intention model and simulated various eWOM levels within this, adopting an objectivity-subjectivity dichotomy, and considering quality and preference as the major antecedents of customer purchase intention. We inferred the information that the customers had obtained from the eWOM by categorizing the customers' responses. The eWOM was parameterized using mean and variance; products that were categorized into quality and preference goods. We considered four cases in which customers infer different product information and exhibit different reactions. Items for quality and preference goods were developed by using a card-sorting method. An experimental survey was conducted on 121 Korean Internet shopping mall users. The hypotheses were partially supported using a Partial Least Squares path comparison method. Overall, our study should provide guidance to firms in their managing eWOM systems by identifying how customers react to them at various levels.