Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
The antecedents of consumers' loyalty toward internet service providers
Information and Management
An empirical investigation of decision-making satisfaction in web-based decision support systems
Decision Support Systems
IEEE Transactions on Knowledge and Data Engineering
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
Journal of Management Information Systems
Designing Web Sites for Customer Loyalty Across Business Domains: A Multilevel Analysis
Journal of Management Information Systems
Recommendations in taste related domains: collaborative filtering vs. social filtering
Proceedings of the 2007 international ACM conference on Supporting group work
Applications of wavelet data reduction in a recommender system
Expert Systems with Applications: An International Journal
Modeling Web Site Design Across Cultures: Relationships to Trust, Satisfaction, and E-Loyalty
Journal of Management Information Systems
Assessing the impact of internet agent on end users' performance
Decision Support Systems
An examination of the determinants of customer loyalty in mobile commerce contexts
Information and Management
Online customers' cognitive differences and their impact on the success of recommendation agents
Information and Management
Empirical Analysis of the Impact of Recommender Systems on Sales
Journal of Management Information Systems
Assessing the impact of recommender agents on on-line consumer unplanned purchase behavior
Information and Management
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Social media technologies have greatly facilitated the creation of many types of user-generated information, e.g., product rating information can be used to generate preference-based recommendation. As a decision support tool, a Recommendation Agent (RA) has been widely adopted by many e-commerce websites. The impact of RAs on online shopping has been extensively examined in the IS literature. However, from Marketing and Social Media perspectives, the widely adopted cognitive-affect-conative-action framework of customer loyalty has not been tested in the presence of RAs. Moreover, there has been little research assessing the impact of increasing consumer knowledge about specific product domains on customer satisfaction and loyalty. Based on these important constructs, this study proposes and empirically tests a parsimonious model assessing the moderating effect of consumer product knowledge and online shopping experience on using RA for customer loyalty. The results show that consumer product knowledge relationship between RA's recommendations negatively impacts the recommendation quality and customer satisfaction, however, consumer online shopping experience does not have a significant effect on the relationship between customer satisfaction and customer loyalty. The results make a significant contribution to a better understanding of the constructs in our research model and provide evidence useful for the management of websites using RAs for product recommendations.