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DSS theory: a model of constructs and relationships
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The effects of decision support and task contingencies on model formulation: a cognitive perspective
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Direct manipulation for comprehensible, predictable and controllable user interfaces
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Fab: content-based, collaborative recommendation
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A model to assess the behavioral impacts of consultative knowledge based systems
Information Processing and Management: an International Journal
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A feedback model to understand information system usage
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Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Communications of the ACM - Robots: intelligence, versatility, adaptivity
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Designing the User Interface: Strategies for Effective Human-Computer Interaction
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Decision Support and Data Warehouse Systems
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Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Managerial information overload
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Meta-recommendation systems: user-controlled integration of diverse recommendations
Proceedings of the eleventh international conference on Information and knowledge management
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
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Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
Building Trustworthy Software Agents
IEEE Internet Computing
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Is seeing believing?: how recommender system interfaces affect users' opinions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Feature-Oriented vs. Needs-Oriented Product Access for Non-Expert-Online Shoppers
I3E '01 Proceedings of the IFIP Conference on Towards The E-Society: E-Commerce, E-Business, E-Government
Understanding Post-Adoption Behavior in the Context of Online Services
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The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
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Information Technology and Management
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 7 - Volume 7
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Well-integrated needs-oriented recommender components regarded as helpful
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Management Science
Preface to Special Issue on User Modeling for Web Information Retrieval
User Modeling and User-Adapted Interaction
An empirical investigation of decision-making satisfaction in web-based decision support systems
Decision Support Systems
Comparing Customer Trust in Virtual Salespersons With Customer Trust in Human Salespersons
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
A Theoretical Integration of User Satisfaction and Technology Acceptance
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Multimedia-based interactive advising technology for online consumer decision support
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Design of trustworthy online recommendation agents: explanation facilities and decision strategy support
Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce
Journal of Management Information Systems
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International Journal of Electronic Commerce
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The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
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A cognitively based functional taxonomy of decision support techniques
Human-Computer Interaction
Assessing the impact of internet agent on end users' performance
Decision Support Systems
Interfaces for eliciting new user preferences in recommender systems
UM'03 Proceedings of the 9th international conference on User modeling
Trust and TAM in online shopping: an integrated model
MIS Quarterly
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Influence of Query-Based Decision Aids on Consumer Decision Making in Electronic Commerce
Information Resources Management Journal
Preface to the Focus Theme Section: 'Smart Products'
Electronic Markets
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Influences of customer preference development on the effectiveness of recommendation strategies
Electronic Commerce Research and Applications
Proceedings of the third ACM conference on Recommender systems
Psychological reactance to online recommendation services
Information and Management
Selecting a small number of products for effective user profiling in collaborative filtering
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Online customers' cognitive differences and their impact on the success of recommendation agents
Information and Management
The effect of preference elicitation methods on the user experience of a recommender system
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Information Systems Frontiers
Editorial: Measuring the impact of personalization and recommendation on user behaviour
International Journal of Human-Computer Studies
Assessing Screening and Evaluation Decision Support Systems: A Resource-Matching Approach
Information Systems Research
Personalizing the settings for Cf-based recommender systems
Proceedings of the fourth ACM conference on Recommender systems
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Electronic Commerce Research and Applications
Learning with personalized recommender systems: A psychological view
Computers in Human Behavior
Empirical Analysis of the Impact of Recommender Systems on Sales
Journal of Management Information Systems
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Assessing the impact of recommender agents on on-line consumer unplanned purchase behavior
Information and Management
Usercentric Operational Decision Making in Distributed Information Retrieval
Information Systems Research
International Journal of Electronic Commerce
Effects of Automated and Participative Decision Support in Computer-Aided Credibility Assessment
Journal of Management Information Systems
Intelligent product search with soft-boundary preference relaxation
Expert Systems with Applications: An International Journal
To switch or not to switch: understanding social influence in online choices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM Transactions on Interactive Intelligent Systems (TiiS)
Comparison shopping agents and online price dispersion: a search cost based explanation
Journal of Theoretical and Applied Electronic Commerce Research
Estimating importance of implicit factors in e-commerce recommender systems
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
User satisfaction with Web-based DSS: The role of cognitive antecedents
International Journal of Information Management: The Journal for Information Professionals
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
Explaining the user experience of recommender systems
User Modeling and User-Adapted Interaction
Reciprocity in effort to personalize: examining perceived effort as a signal for quality
Proceedings of the 14th Annual International Conference on Electronic Commerce
An experimental study of user-customized products online: based on regulatory focus theory
Proceedings of the 14th Annual International Conference on Electronic Commerce
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UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Recommendation agents that boost performance: investigating their success factors
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
Sustaining Web 2.0 services: A survival analysis of a live crowd-casting service
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Semi-automatic generation of recommendation processes and their GUIs
Proceedings of the 2013 international conference on Intelligent user interfaces
Beyond open government: ontologies and data architectures to support ethical consumption
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The adoption of gamification in e-banking
Proceedings of the 2013 International Conference on Information Systems and Design of Communication
Human Decision Making and Recommender Systems
ACM Transactions on Interactive Intelligent Systems (TiiS)
Exploring the filter bubble: the effect of using recommender systems on content diversity
Proceedings of the 23rd international conference on World wide web
Advice sharing between paired users in online travel planning
Journal of Theoretical and Applied Electronic Commerce Research
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Recommendation agents (RAs) are software agents that elicit the interests or preferences of individual consumers for products, either explicitly or implicitly, and make recommendations accordingly. RAs have the potential to support and improve the quality of the decisions consumers make when searching for and selecting products online. They can reduce the information overload facing consumers, as well as the complexity of online searches. Prior research on RAs has focused mostly on developing and evaluating different underlying algorithms that generate recommendations. This paper instead identifies other important aspects of RAs, namely RA use, RA characteristics, provider credi'r, and user-RA interaction, which influence users' decision-making processes and outcomes, as well as their evaluation of RAs. It goes beyond generalized models, such as TAM, and identifies the RA-specific features, such as RA input, process, and output design characteristics, that affect users' evaluations, including their assessments of the usefulness and ease-of-use of RA applications. Based on a review of existing literature on e-commerce RAs, this paper develops a conceptual model with 28 propositions derived from five theoretical perspectives. The propositions help answer the two research questions: (1) How do RA use, RA characteristics, and other factors influence consumer decision making processes and outcomes? (2) How do RA use, RA characteristics, and other factors influence users' evaluations of RAs? By identifying the critical gaps between what we know and what we need to know, this paper identifies potential areas of future research for scholars. It also provides advice to information systems practitioners concerning the effective design and development of RAs.