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Jason Kuruzovich

Jason Nicholas Kuruzovich

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Journal Articles

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2023
[j7]
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  - journals/misq/JiangRK23
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Lianlian (Dorothy) Jiang, Thiagarajan Ravichandran, Jason Kuruzovich:
Review Moderation Transparency and Online Reviews: Evidence from a Natural Experiment. MIS Q. 47(4): 1693-1708 (2023)
2021
[j6]
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  - journals/iam/KuruzovichPGGV21
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Jason Nicholas Kuruzovich, William (Patch) Paczkowski, Timothy D. Golden, Soheil Goodarzi, Viswanath Venkatesh:
Telecommuting and job outcomes: A moderated mediation model of system use, software quality, and social Exchange. Inf. Manag. 58(3): 103431 (2021)
2018
[j5]
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  - journals/mansci/KuruzovichE18
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Jason Nicholas Kuruzovich, Hila Etzion:
Online Auctions and Multichannel Retailing. Manag. Sci. 64(6): 2734-2753 (2018)
2013
[j4]
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Shu Han, Jason Nicholas Kuruzovich, T. Ravichandran:
Service Expansion of Product Firms in the Information Technology Industry: An Empirical Study. J. Manag. Inf. Syst. 29(4): 127-158 (2013)
2010
[j3]
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Jason Nicholas Kuruzovich, Siva Viswanathan, Ritu Agarwal:
Seller Search and Market Outcomes in Online Auctions. Manag. Sci. 56(10): 1702-1717 (2010)
2008
[j2]
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  - journals/ijecommerce/AngstAK08
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Corey M. Angst, Ritu Agarwal, Jason Nicholas Kuruzovich:
Bid or Buy? Individual Shopping Traits as Predictors of Strategic Exit in On-Line Auctions. Int. J. Electron. Commer. 13(1): 59-84 (2008)
[j1]
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Jason Nicholas Kuruzovich, Siva Viswanathan, Ritu Agarwal, Sanjay Gosain, Scott Weitzman:
Marketspace or Marketplace? Online Information Search and Channel Outcomes in Auto Retailing. Inf. Syst. Res. 19(2): 182-201 (2008)

Conference and Workshop Papers

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2024
[c12]
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  - conf/hicss/Moussawi0K24
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Sara Moussawi, Xuefei Deng, Jason Kuruzovich:
Introduction to the Minitrack on Artificial Intelligence and Digital Discrimination. HICSS 2024: 6825-6827
2023
[c11]
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  - conf/amcis/FerreiraK23
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Vitor Fernandes Marinho Ferreira, Jason Kuruzovich:
Causal Matching for Startups: Methods for Controlling Confounding. AMCIS 2023
2022
[c10]
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  - conf/bibm/MavroudeasNKBM22
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Georgios Mavroudeas, Nafis Neehal, Jason Nicholas Kuruzovich, Kristin P. Bennett, Malik Magdon-Ismail:
Subpopulation Analysis in Causal Inference: A Healthcare Case Study. BIBM 2022: 1673-1676
2021
[c9]
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Georgios Mavroudeas, Nafis Neehal, Xiao Shou, Malik Magdon-Ismail, Jason Nicholas Kuruzovich, Kristin P. Bennett:
Predictive Modeling for Complex Care Management. BIBM 2021: 1443-1448
2019
[c8]
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  - conf/bibm/ShouMNAKMB19
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Xiao Shou, Georgios Mavroudeas, Alexander New, Kofi Arhin, Jason Nicholas Kuruzovich, Malik Magdon-Ismail, Kristin P. Bennett:
Supervised Mixture Models for Population Health. BIBM 2019: 1057-1064
2017
[c7]
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  - conf/hicss/WangKL17
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Fang Wang, Jason Nicholas Kuruzovich, Yingda Lu:
Entrepreneurs' Activities on Social Media and Venture Financing. HICSS 2017: 1-10
2012
[c6]
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  - conf/hicss/Kuruzovich12
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Jason Nicholas Kuruzovich:
Online Auctions and Multichannel Retailing. HICSS 2012: 3198-3207
[c5]
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  - conf/hicss/KuruzovichBS12
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Jason Nicholas Kuruzovich, Geneviève Bassellier, V. Sambamurthy:
IT Governance Processes and IT Alignment: Viewpoints from the Board of Directors. HICSS 2012: 5043-5052
2010
[c4]
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Shu Han, T. Ravichandran, Jason Nicholas Kuruzovich:
Competing through Services: Service Migration of Information Technology Product Vendors. HICSS 2010: 1-10
2009
[c3]
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  - conf/amcis/KuruzovichHT09
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Jason Nicholas Kuruzovich, Shu Han, R. Thiagarajan:
The IT Products-Services Stack and Vendor Quality. AMCIS 2009: 165
[c2]
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Jason Nicholas Kuruzovich:
Responding to Technology-Enabled Organizational Transformation. AMCIS 2009: 782
2008
[c1]
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  - conf/ecis/Kuruzovich08
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Jason Nicholas Kuruzovich:
Retailer Resources and the Use of Infomediaries. ECIS 2008: 517-527

Informal and Other Publications

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2024
[i2]
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  - journals/corr/abs-2410-19003
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Louis Hickman, Christopher Huynh, Jessica Gass, Brandon M. Booth, Jason Kuruzovich, Louis Tay:
Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation. CoRR abs/2410.19003 (2024)
2023
[i1]
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  - journals/corr/abs-2304-13933
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Louis Hickman, Jason Nicholas Kuruzovich, Vincent Ng, Kofi Arhin, Danielle Wilson:
Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy. CoRR abs/2304.13933 (2023)

Coauthor Index

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