Reducing buyer search costs: implications for electronic marketplaces
Management Science - Special issue: Frontier research on information systems and economics
Decision Support Systems - Special issue on economics of electronic commerce
Stated choice methods: analysis and application
Stated choice methods: analysis and application
Personalization from incomplete data: what you don't know can hurt
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Logistic Regression Using the SAS System: Theory and Application
Logistic Regression Using the SAS System: Theory and Application
Modeling the Clickstream: Implications for Web-Based Advertising Efforts
Marketing Science
On the Depth and Dynamics of Online Search Behavior
Management Science
Dynamic Conversion Behavior at E-Commerce Sites
Management Science
Modeling Browsing Behavior at Multiple Websites
Marketing Science
Usage patterns of collaborative tagging systems
Journal of Information Science
Using Online Conversations to Study Word-of-Mouth Communication
Marketing Science
Modeling Online Browsing and Path Analysis Using Clickstream Data
Marketing Science
Predicting On-Line Task Completion with Clickstream Complexity Measures: A Graph-Based Approach
International Journal of Electronic Commerce
International Journal of Electronic Commerce
Consumer E-Tailer Choice Strategies at On-Line Shopping Comparison Sites
International Journal of Electronic Commerce
A Conceptual Framework for Demographic Groups Resistant to On-line Community Interaction
International Journal of Electronic Commerce
A Trust Model for Consumer Internet Shopping
International Journal of Electronic Commerce
Co-evolving E-tail and On-Line Communities: Conceptual Framework
International Journal of Electronic Commerce
International Journal of Electronic Commerce
Characteristics of Consumer Search On-Line: How Much Do We Search?
International Journal of Electronic Commerce
Electronic Commerce Research and Applications
International Journal of Electronic Commerce
Proceedings of the 11th International Conference on Electronic Commerce
Profiling Retail Web Site Functionalities and Conversion Rates: A Cluster Analysis
International Journal of Electronic Commerce
Why do people tag?: motivations for photo tagging
Communications of the ACM
IEEE Transactions on Neural Networks
Introduction to the Special Issue Social Commerce: A Research Framework for Social Commerce
International Journal of Electronic Commerce
Simulating social commerce applied to buyer group pricing, recommendation incentives, and bundling
Proceedings of the 14th Annual International Conference on Electronic Commerce
Effect of user-generated content on website stickiness: the case of social shopping communities
Proceedings of the 14th Annual International Conference on Electronic Commerce
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Social shopping communities (SSCs) evolve from a linkage of social networking and online shopping. Apart from direct shopping features in shopbots (e.g., search fields), SSCs additionally offer user-generated social shopping features. These include recommendation lists, ratings, styles (i.e., assortments arranged by users), tags, and user profiles. Purchases can be made by following a link to a participating online shop ("click-out"). SSCs are experiencing high growth rates in consumer popularity (e.g., Polyvore attracts more than 6 million unique visitors per month). Thus, this business model has received considerable venture capital in recent years. By analyzing clickstream data, we investigate which factors, especially social shopping features, are significant for predicting purchasing behavior within SSCs. Our logit model includes about 2.73 million visiting sessions and shows that social shopping features exert a significant impact, both positive and negative. Tags and high ratings have a positive impact on a click-out. In contrast, the more lists and styles used, the less likely the user is to make a click-out. Yet, lists and styles seem to enhance site stickiness and browsing. Moreover, the more direct shopping features that are used, the less likely the user is to conduct a click-out. Increasing transaction costs and information overload could be potential reasons. We also found that community members are more likely to make a click-out than ordinary users. This implies that community members are more profitable.