Shawn P. Curley

21 papers C 4Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Recommending Composite Items Using Multi-Level Preference Information: A Joint Interaction Modeling Approach.
CoRR
Xuan Bi, Yaqiong Wang, Gediminas Adomavicius, Shawn P. Curley
2022 J jnl
Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses.
MIS Q.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2022 J jnl
Recommender Systems, Ground Truth, and Preference Pollution.
AI Mag.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2022 — conf
Significance of Task Significance in Online Marketplaces for Work.
HICSS
Yuqing Ren, Shawn P. Curley
2022 J jnl
The Effects of Digitally Delivered Nudges in a Corporate Wellness Program.
J. Assoc. Inf. Syst.
Yash Babar, Shawn P. Curley, Zhihong Ke, De Liu, Zachary J. Sheffler
2021 J jnl
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings.
ACM Trans. Inf. Syst.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2020 J jnl
Ingredients for successful badges: evidence from a field experiment in bike commuting.
Eur. J. Inf. Syst.
Zachary J. Sheffler, De Liu, Shawn P. Curley
2019 C conf
Do We Need Different Levels of Badges for Users with Different Participation Levels? A Field Experiment from a Bicycle Commuting Program.
ICIS
Zachary J. Sheffler, Shawn P. Curley, De Liu
2019 J jnl
Reeducing Recommender System Biases: An Investigation of Rating Display Designs.
MIS Q.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2018 J jnl
Effects of Online Recommendations on Consumers' Willingness to Pay.
Inf. Syst. Res.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2018 J jnl
Exploring Explanation Effects on Consumers' Trust in Online Recommender Agents.
Int. J. Hum. Comput. Interact.
Jingjing Zhang, Shawn P. Curley
2016 — conf
Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences.
IntRS@RecSys
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2015 J jnl
Bundling Effects on Variety Seeking for Digital Information Goods.
J. Manag. Inf. Syst.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley
2013 J jnl
Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects.
Inf. Syst. Res.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2013 J jnl
Impact of Information Feedback in Continuous Combinatorial Auctions: An Experimental Study of Economic Performance.
MIS Q.
Gediminas Adomavicius, Shawn P. Curley, Alok Gupta, Pallab Sanyal
2012 J jnl
Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions.
Manag. Sci.
Gediminas Adomavicius, Shawn P. Curley, Alok Gupta, Pallab Sanyal
2012 — conf
Effects of Online Recommendations on Consumers' Willingness to Pay.
Decisions@RecSys
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2008 C conf
The Death of Distance?: The Influence of Computer Mediated Communication on Perceptions of Distance.
ICIS
Hyelim Oh, Shawn P. Curley, Mani R. Subramani
2007 C conf
Design and Effects of Information Feedback in Continuous Combinatorial Auctions.
ICIS
Gediminas Adomavicius, Pallab Sanyal, Alok Gupta, Shawn P. Curley
2002 — conf
Conversation about Software Requirements with Prototypes and Scenarios.
NGITS
David L. Bahn, J. David Naumann, Shawn P. Curley
1995 C conf
Information Load Revisited: A Theoretical Model.
ICIS
J. Roberto Evaristo, Carl R. Adams, Shawn P. Curley