The emerging role of electronic marketplaces on the Internet
Communications of the ACM
Issues and opinion on structural equation modeling
MIS Quarterly
Insights and analyses of online auctions
Communications of the ACM
The New Science of Management Decision
The New Science of Management Decision
Consumer trust in an Internet store
Information Technology and Management
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
Building Effective Online Marketplaces with Institution-Based Trust
Information Systems Research
Information Systems Research
Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard
Information Systems Research
Human Problem Solving
Information Systems Research
A Method for Generation of Alternatives by Decision Support Systems
Journal of Management Information Systems
International Journal of Electronic Commerce
Consideration sets in online shopping environments: the effects of search tool and information load
Electronic Commerce Research and Applications
The effects of shilling on final bid prices in online auctions
Electronic Commerce Research and Applications
A review of research on e-marketplaces 1997-2008
Decision Support Systems
The relationship between website quality, trust and price premiums at online auctions
Electronic Commerce Research
Trust and TAM in online shopping: an integrated model
MIS Quarterly
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In this research, we extend online auction theory by considering set theory in terms of a staged buying process. Success of online auction marketplaces depends on the efficacy of individual buyers searching for and finding desired items for bidding. Searches that lead to consideration sets with too many or too few options may result in a suboptimal choice. Results from this study suggest that certain personal characteristics may impact the number of auctions considered when filtering the awareness set to the consideration set. The findings suggest that design and management of online auction marketplaces should be refined to facilitate these individual traits such that individual search strategies are maximized.