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

SCHOLARLY PAPERS

6

DOWNLOADS

571

SSRN CITATIONS
Rank 36,577

SSRN RANKINGS

Top 36,577

in Total Papers Citations

10

CROSSREF CITATIONS

7

Scholarly Papers (6)

1.

Reducing Recommender Systems Biases: An Investigation of Rating Display Designs

Forthcoming, MIS Quarterly, Kelley School of Business Research Paper No. 19-18
Number of pages: 54 Posted: 27 Mar 2019 Last Revised: 11 Jun 2019
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 217 (148,278)
Citation 1

Abstract:

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

2.

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

Number of pages: 40 Posted: 26 Jun 2013
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 145 (211,023)
Citation 9

Abstract:

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

3.

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
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 134 (224,680)
Citation 1

Abstract:

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

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
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 47 (417,165)

Abstract:

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

5.

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
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 28 (499,806)

Abstract:

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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)

6.

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