A critical investigation of recall and precision as measures of retrieval system performance
ACM Transactions on Information Systems (TOIS)
The effects of decision support and task contingencies on model formulation: a cognitive perspective
Decision Support Systems - Special issue: DSS on model formulation
Communications of the ACM
Supporting decision making in combinatorially explosive multicriteria situations
Decision Support Systems
Trust in e-commerce vendors: a two-stage model
ICIS '00 Proceedings of the twenty first international conference on Information systems
Cultural differences in the online behavior of consumers
Communications of the ACM
Rationality in Information Systems Support to Decision Making
Information Systems Frontiers
A personalized and integrative comparison-shopping engine and its applications
Decision Support Systems - Special issue: Agents and e-commerce business models
Goal-Based Construction of Preferences: Task Goals and the Prominence Effect
Management Science
Idea and Ar-Idea: Models for Dealing with Imprecise Data in Dea
Management Science
Evaluating the Impact of Dss, Cognitive Effort, and Incentives on Strategy Selection
Information Systems Research
E-loyalty: elusive ideal or competitive edge?
Communications of the ACM - Why CS students need math
Frictionless Commerce? A Comparison of Internet and Conventional Retailers
Management Science
Attribute Conflict and Preference Uncertainty: The RandMAU Model
Management Science
The Role of the Management Sciences in Research on Personalization
Management Science
Understand User Preference of Online Shoppers
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Comparing the Effects of Usability on Customer Conversion and Retention at E-Commerce Websites
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
Feature Selection Methods for Conversational Recommender Systems
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
A trust-enhanced recommender system application: Moleskiing
Proceedings of the 2005 ACM symposium on Applied computing
The Role of System Trust in Business-to-Consumer Transactions
Journal of Management Information Systems
Journal of Management Information Systems
The Effect of Web Site Perceptions on Initial Trust in the Owner Company
International Journal of Electronic Commerce
International Journal of Electronic Commerce
Harmonise: A Step Toward an Interoperable E-Tourism Marketplace
International Journal of Electronic Commerce
On-line Shopping Behavior: Cross-Country Empirical Research
International Journal of Electronic Commerce
Consumer Behavior in Web-Based Commerce: An Empirical Study
International Journal of Electronic Commerce
A Trust Model for Consumer Internet Shopping
International Journal of Electronic Commerce
Trust and TAM in online shopping: an integrated model
MIS Quarterly
Information and Management
Characteristics of Consumer Search On-Line: How Much Do We Search?
International Journal of Electronic Commerce
Consideration sets in online shopping environments: the effects of search tool and information load
Electronic Commerce Research and Applications
Information Systems Frontiers
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Shopping engines of different designs were researched in respect to convenience as a mode of access to goods and services offered on the Web. Some shopping engines function autonomously in one stage, quickly maximizing decision accuracy as a function of several parameters. Others strongly involve the user, searching in multiple stages to satisfy decision accuracy requirements. Single-stage and multiple-stage shopping engines designed with two approaches, QuickSearch and AdaptiveSearch, were tested on 205 users trying to attain maximal accuracy with minimal effort. The best-performing shopping engine used two stages, QuickSearch first, then AdaptiveSearch. The results imply that QuickSearch and AdaptiveSearch, although logically equivalent, have different impacts on shopping for differentiated, multi-attribute goods and services. This suggests that shopping engines should be designed to first save the shopper effort and then provide attribute-focused support for examining the resulting set of items.