Shawn P. Curley

According to our database, Shawn P. Curley authored at least 19 papers between 1995 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2022

Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses.

Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang

MIS Q., 2022

The Effects of Digitally Delivered Nudges in a Corporate Wellness Program.

Yash Babar, Shawn P. Curley, Zhihong Ke, De Liu, Zachary J. Sheffler

J. Assoc. Inf. Syst., 2022

Recommender Systems, Ground Truth, and Preference Pollution.

Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang

AI Mag., 2022

Significance of Task Significance in Online Marketplaces for Work.

Yuqing Ren, Shawn P. Curley

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings.

Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang

ACM Trans. Inf. Syst., 2021

2020

Ingredients for successful badges: evidence from a field experiment in bike commuting.

Zachary J. Sheffler, De Liu, Shawn P. Curley

Eur. J. Inf. Syst., 2020

2019

Reeducing Recommender System Biases: An Investigation of Rating Display Designs.

Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang

MIS Q., 2019

Do We Need Different Levels of Badges for Users with Different Participation Levels? A Field Experiment from a Bicycle Commuting Program.

Zachary J. Sheffler, Shawn P. Curley, De Liu

Proceedings of the 40th International Conference on Information Systems, 2019

2018

Effects of Online Recommendations on Consumers' Willingness to Pay.

Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang

Inf. Syst. Res., 2018

Exploring Explanation Effects on Consumers' Trust in Online Recommender Agents.

Jingjing Zhang, Shawn P. Curley

Int. J. Hum. Comput. Interact., 2018

2016

Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences.

Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang

Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

2015

Bundling Effects on Variety Seeking for Digital Information Goods.

Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley

J. Manag. Inf. Syst., 2015

2013

Impact of Information Feedback in Continuous Combinatorial Auctions: An Experimental Study of Economic Performance.

Gediminas Adomavicius, Shawn P. Curley, Alok Gupta, Pallab Sanyal

MIS Q., 2013

Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects.

Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang

Inf. Syst. Res., 2013

2012

Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions.

Gediminas Adomavicius, Shawn P. Curley, Alok Gupta, Pallab Sanyal

Manag. Sci., 2012

2008

The Death of Distance?: The Influence of Computer Mediated Communication on Perceptions of Distance.

Hyelim Oh, Shawn P. Curley, Mani R. Subramani

Proceedings of the International Conference on Information Systems, 2008

2007

Design and Effects of Information Feedback in Continuous Combinatorial Auctions.

Gediminas Adomavicius, Pallab Sanyal, Alok Gupta, Shawn P. Curley

Proceedings of the International Conference on Information Systems, 2007

2002

Conversation about Software Requirements with Prototypes and Scenarios.

David L. Bahn, J. David Naumann, Shawn P. Curley

Proceedings of the Next Generation Information Technologies and Systems, 2002

1995

Information Load Revisited: A Theoretical Model.

J. Roberto Evaristo, Carl R. Adams, Shawn P. Curley

Proceedings of the Sixteenth International Conference on Information Systems, 1995