Information Load Revisited: A Theoretical Model. - J. Roberto Evaristo; Carl R. Adams; Shawn P. Curley (ICIS, 1995)

Conversation about Software Requirements with Prototypes and Scenarios. - David L. Bahn; J. David Naumann; Shawn P. Curley (NGITS, 2002)

Design and Effects of Information Feedback in Continuous Combinatorial Auctions. - Gediminas Adomavicius; Pallab Sanyal; Alok Gupta; Shawn P. Curley (ICIS, 2007)

The Death of Distance?: The Influence of Computer Mediated Communication on Perceptions of Distance. - Hyelim Oh; Shawn P. Curley; Mani R. Subramani (ICIS, 2008)

Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions. - Gediminas Adomavicius; Shawn P. Curley; Alok Gupta; Pallab Sanyal (Manag. Sci., 2012)

Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (Inf. Syst. Res., 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)

Bundling Effects on Variety Seeking for Digital Information Goods. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley (J. Manag. Inf. Syst., 2015)

Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (IntRS@RecSys, 2016)

Exploring Explanation Effects on Consumers' Trust in Online Recommender Agents. - Jingjing Zhang 001; Shawn P. Curley (Int. J. Hum. Comput. Interact., 2018)

Effects of Online Recommendations on Consumers' Willingness to Pay. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (Inf. Syst. Res., 2018)

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 (ICIS, 2019)

Reeducing Recommender System Biases: An Investigation of Rating Display Designs. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (MIS Q., 2019)

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)

Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (ACM Trans. Inf. Syst., 2021)

Significance of Task Significance in Online Marketplaces for Work. - Yuqing Ren; Shawn P. Curley (HICSS, 2022)

Recommender Systems, Ground Truth, and Preference Pollution. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (AI Mag., 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)

Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (MIS Q., 2022)