E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Information Technology and Management
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
Journal of Management Information Systems
Journal of Management Information Systems
Persuasion in Recommender Systems
International Journal of Electronic Commerce
International Journal of Electronic Commerce
Recommendation Agents for Electronic Commerce: Effects of Explanation Facilities on Trusting Beliefs
Journal of Management Information Systems
EGOVIS'11 Proceedings of the Second international conference on Electronic government and the information systems perspective
Electronic Commerce Research and Applications
A feedback control approach to maintain consumer information load in online shopping environments
Information and Management
Effects of Automated and Participative Decision Support in Computer-Aided Credibility Assessment
Journal of Management Information Systems
Evaluating books finding tools on social media: A case study of aNobii
Information Processing and Management: an International Journal
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RAs (recommendation agents) have become a major way to assist customers make online purchase decisions. However, do customers consider an RAs' advice to be as important as managers expect? Which customers, if any, use RAs more frequently? Although these questions are crucial to Website management, sparse knowledge of the answers was found. Based on 316 randomly selected customers, we empirically demonstrated that customers' deliberations were not determined by a single cognitive trait, as examined in past IS studies; their decision was more due a function of innovativeness and involvement. More-involved users were found to adopt an RAs' advice. Managerial implications of these findings are discussed.