Jingjng Zhang

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies

Associate Professor

1309 E. Tenth Street

HH4143

Bloomington, IN 47401

United States

  • Indiana University - Kelley School of Business - Department of Operation & Decision Technologies

SCHOLARLY PAPERS

9

DOWNLOADS

999

SSRN CITATIONS
Rank 25,606

SSRN RANKINGS

Top 25,606

in Total Papers Citations

29

CROSSREF CITATIONS

7

Scholarly Papers (9)

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1.

Reducing Recommender Systems Biases: An Investigation of Rating Display Designs

MIS Quarterly (43:4), Kelley School of Business Research Paper No. 19-18
Number of pages: 54 Posted: 27 Mar 2019 Last Revised: 12 Mar 2021
Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley and Jingjng Zhang
University of Minnesota - Twin Cities - Carlson School of Management, University of Arizona - Department of Management Information Systems, University of Minnesota - Minneapolis and Indiana University - Kelley School of Business - Department of Operation & Decision Technologies
Downloads 372 (96,492)
Citation 5

Abstract:

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recommender systems, decision bias, interface design, preference ratings, scale compatibility, experimental research

2.

Effects of Online Recommendations on Consumers’ Willingness to Pay

Information Systems Research, Forthcoming, Kelley School of Business Research Paper No. 17-45
Number of pages: 41 Posted: 08 Jun 2017
Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley and Jingjng Zhang
University of Minnesota - Twin Cities - Carlson School of Management, University of Arizona - Department of Management Information Systems, University of Minnesota - Minneapolis and Indiana University - Kelley School of Business - Department of Operation & Decision Technologies
Downloads 182 (198,552)
Citation 9

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behavioral economics, electronic commerce, laboratory experiments, preferences, recommender systems, willingness to pay

3.

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

Number of pages: 40 Posted: 26 Jun 2013
Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley and Jingjng Zhang
University of Minnesota - Twin Cities - Carlson School of Management, University of Arizona - Department of Management Information Systems, University of Minnesota - Minneapolis and Indiana University - Kelley School of Business - Department of Operation & Decision Technologies
Downloads 162 (219,325)
Citation 14

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anchoring effects, behavioral decision making, behavioral economics, electronic commerce, experimental research, preferences, recommender systems

4.

Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework

Information Systems Research, Forthcoming, Kelley School of Business Research Paper No. 19-23
Number of pages: 46 Posted: 07 Jun 2019 Last Revised: 08 Jul 2019
Jingjng Zhang, Gediminas Adomavicius, Alok Gupta and Wolfgang Ketter
Indiana University - Kelley School of Business - Department of Operation & Decision Technologies, University of Minnesota - Twin Cities - Carlson School of Management, University of Minnesota - Twin Cities - Carlson School of Management and University of Cologne - Institute of Energy Economics
Downloads 108 (299,472)
Citation 1

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dynamics of recommender systems, agent-based modeling, simulation, consumption strategies, prediction accuracy, consumption diversity, consumption relevance

5.

When Algorithms Err: Differential Impact of Early vs. Late Errors on Users' Reliance on Algorithms

Number of pages: 22 Posted: 02 Nov 2020
Antino Kim, Mochen Yang and Jingjng Zhang
Indiana University - Kelley School of Business - Department of Operation & Decision Technologies, University of Minnesota - Twin Cities - Carlson School of Management and Indiana University - Kelley School of Business - Department of Operation & Decision Technologies
Downloads 79 (364,923)

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Algorithm, decision support, prediction, timing of error, reliance

6.

The Hidden Cost of Transitioning to a Paid Service: The Effect of Unexpected Revealing of New Patient Prospects on Physicians’ Service Quality in Online Healthcare Communities

Kelley School of Business Research Paper No. 19-1
Number of pages: 5 Posted: 10 Dec 2018
Seyoung Seol, Lu (Lucy) Yan, Jingjng Zhang, Hillol Bala and Liuan Wang
Indiana University - Kelley School of Business - Department of Operation & Decision Technologies, Indiana University - Kelley School of Business - Department of Operation & Decision Technologies, Indiana University - Kelley School of Business - Department of Operation & Decision Technologies, Indiana University - Kelley School of Business - Department of Operation & Decision Technologies and School of Economics and Management, Beihang University
Downloads 46 (475,688)

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Physician-Oriented Online Healthcare Communities (OHCs), Free and Paid Services, New Patient Prospects, Existing Patients, Service Quality, Regression Discontinuity Design (RDD)

7.

Longitudinal Impact of Preference Biases on Recommender Systems' Performance

Number of pages: 40 Posted: 09 Mar 2021
Meizi Zhou, Jingjng Zhang and Gediminas Adomavicius
University of Minnesota - Twin Cities - Carlson School of Management, Indiana University - Kelley School of Business - Department of Operation & Decision Technologies and University of Minnesota - Twin Cities - Carlson School of Management
Downloads 29 (563,646)

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Recommender systems, longitudinal dynamics, preference biases, system performance, agent-based simulation.

8.

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

Forthcoming, MIS Quarterly
Number of pages: 31 Posted: 15 Mar 2021
Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley and Jingjng Zhang
University of Minnesota - Twin Cities - Carlson School of Management, University of Arizona - Department of Management Information Systems, University of Minnesota - Minneapolis and Indiana University - Kelley School of Business - Department of Operation & Decision Technologies
Downloads 21 (615,221)

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online product ratings, recommender systems, personalized ratings, aggregate ratings, recommendation bias, laboratory experiments

9.

Understanding the Impact of Individual Users’ Rating Characteristics on Predictive Accuracy of Recommender Systems

INFORMS Journal on Computing, Forthcoming
Posted: 13 Mar 2018 Last Revised: 02 Apr 2019
Xiaoye Cheng, Jingjng Zhang and Lu (Lucy) Yan
Indiana University, Kelley School of Business, Department of Operation & Decision Technologies, Students, Indiana University - Kelley School of Business - Department of Operation & Decision Technologies and Indiana University - Kelley School of Business - Department of Operation & Decision Technologies

Abstract:

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recommender systems, predictive accuracy, rating characteristics, rating value, rating structure, network embeddedness