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ORCIDShawn P. Curley
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2020 – today
- 2022
[j12]Gediminas Adomavicius
, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Recommender Systems, Ground Truth, and Preference Pollution. AI Mag. 43(2): 177-189 (2022)- [j11]Yash Babar, Shawn P. Curley, Zhihong Ke, De Liu, Zachary J. Sheffler:
The Effects of Digitally Delivered Nudges in a Corporate Wellness Program. J. Assoc. Inf. Syst. 24(1): 5 (2022) - [j10]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses. MIS Q. 46(1): 627-644 (2022) - [c8]Yuqing Ren, Shawn P. Curley:
Significance of Task Significance in Online Marketplaces for Work. HICSS 2022: 1-10 - 2021
- [j9]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings. ACM Trans. Inf. Syst. 39(2): 13:1-13:38 (2021) - 2020
- [j8]Zachary J. Sheffler, De Liu, Shawn P. Curley:
Ingredients for successful badges: evidence from a field experiment in bike commuting. Eur. J. Inf. Syst. 29(6): 688-703 (2020)
2010 – 2019
- 2019
- [j7]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Reeducing Recommender System Biases: An Investigation of Rating Display Designs. MIS Q. 43(4) (2019) - [c7]Zachary J. Sheffler, Shawn P. Curley, De Liu:
Do We Need Different Levels of Badges for Users with Different Participation Levels? A Field Experiment from a Bicycle Commuting Program. ICIS 2019 - 2018
- [j6]Jingjing Zhang, Shawn P. Curley:
Exploring Explanation Effects on Consumers' Trust in Online Recommender Agents. Int. J. Hum. Comput. Interact. 34(5): 421-432 (2018) - [j5]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Effects of Online Recommendations on Consumers' Willingness to Pay. Inf. Syst. Res. 29(1): 84-102 (2018) - 2016
- [c6]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences. IntRS@RecSys 2016: 14-21 - 2015
- [j4]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley:
Bundling Effects on Variety Seeking for Digital Information Goods. J. Manag. Inf. Syst. 31(4): 182-212 (2015) - 2013
- [j3]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects. Inf. Syst. Res. 24(4): 956-975 (2013) - [j2]Gediminas Adomavicius, Shawn P. Curley, Alok Gupta, Pallab Sanyal:
Impact of Information Feedback in Continuous Combinatorial Auctions: An Experimental Study of Economic Performance. MIS Q. 37(1): 55-76 (2013) - 2012
- [j1]Gediminas Adomavicius, Shawn P. Curley, Alok Gupta, Pallab Sanyal:
Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions. Manag. Sci. 58(4): 811-830 (2012) - [c5]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Effects of Online Recommendations on Consumers' Willingness to Pay. Decisions@RecSys 2012: 40-45
2000 – 2009
- 2008
- [c4]Hyelim Oh, Shawn P. Curley, Mani R. Subramani:
The Death of Distance?: The Influence of Computer Mediated Communication on Perceptions of Distance. ICIS 2008: 149 - 2007
- [c3]Gediminas Adomavicius, Pallab Sanyal, Alok Gupta, Shawn P. Curley:
Design and Effects of Information Feedback in Continuous Combinatorial Auctions. ICIS 2007: 107 - 2002
- [c2]David L. Bahn, J. David Naumann, Shawn P. Curley:
Conversation about Software Requirements with Prototypes and Scenarios. NGITS 2002: 147-147
1990 – 1999
- 1995
- [c1]J. Roberto Evaristo, Carl R. Adams, Shawn P. Curley:
Information Load Revisited: A Theoretical Model. ICIS 1995: 197-206
Coauthor Index
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