Mendoza College of BusinessMendoza College of Business

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Showing 20 of 56 publications

Reducing Subgroup Differences in Personnel Selection Through the Application of Machine Learning
- Nan Zhang
- M. Wang
- Heng Xu
- N. Koenig
- L. Hickman
- J. Kuruzovich
- V. Ng
- K. Arhin
- D. Wilson
- Q.C. Song
- C. Tang
- L. Alexander III
- Y. Kim
Personnel Psychology
76
4
2023
Reducing Subgroup Differences in Personnel Selection Through the Application of Machine Learning
- Nan Zhang
- M. Wang
- Heng Xu
- N. Koenig
- L. Hickman
- J. Kuruzovich
- V. Ng
- K. Arhin
- D. Wilson
- Q. Song
- C. Tang
- L. Alexander III
- Y. Kim
Personnel Psychology
76
4
2023
From Contextualizing to Context Theorizing: Assessing Context Effects in Privacy Research
- Nan Zhang
- H. Xu
Management Science
2022
Disentangling Effect Size Heterogeneity in Meta-Analysis: A Latent Mixture Approach
- Nan Zhang
- M. Wang
- H. Xu
Psychological Methods
2022
Implications of Data Anonymization on the Statistical Evidence of Disparity
- Nan Zhang
- H. Xu
Management Science
2022
On finding rank regret reresentatives
- Nan Zhang
- A. Asudeh
- G. Das
- H.V. Jagadish
- S. Lu
- A. Nazi
- Y.
- J. Zhao
ACM Transactions on Database Systems
47
3
2022
Reconciling the Paradoxical Findings of Choice Overload Through an Analytical Lens
- Nan Zhang
- H. Xu
MIS Quarterly
2021
Scalable Signal Reconstruction for a Broad Range of Applications
- Nan Zhang
- A. Asudeh
- J. Augustine
- S. Thirumuruganathan
- A. Nazi
- G. Das
- D. Srivastava
Communications of the ACM
2021
Scalable Algorithms for Signal Reconstruction by Leveraging Similarity Joins
- A. Asudeh
- J. Augustine
- A. Nazi
- S. Thirumuruganathan
- Nan Zhang
- G. Das
- D. Srivastava
The VLDB Journal
29
2020
Validity Concerns in Research Using Organic Data
- H. Xu
- Nan Zhang
- L. Zhou
Journal of Management
46
7
2020

Faculty Publications

Find Publications

Reducing Subgroup Differences in Personnel Selection Through the Application of Machine Learning

Reducing Subgroup Differences in Personnel Selection Through the Application of Machine Learning

From Contextualizing to Context Theorizing: Assessing Context Effects in Privacy Research

Disentangling Effect Size Heterogeneity in Meta-Analysis: A Latent Mixture Approach

Implications of Data Anonymization on the Statistical Evidence of Disparity

On finding rank regret reresentatives

Reconciling the Paradoxical Findings of Choice Overload Through an Analytical Lens

Scalable Signal Reconstruction for a Broad Range of Applications

Scalable Algorithms for Signal Reconstruction by Leveraging Similarity Joins

Validity Concerns in Research Using Organic Data

Find Publications

Reducing Subgroup Differences in Personnel Selection Through the Application of Machine Learning

Reducing Subgroup Differences in Personnel Selection Through the Application of Machine Learning

From Contextualizing to Context Theorizing: Assessing Context Effects in Privacy Research

Disentangling Effect Size Heterogeneity in Meta-Analysis: A Latent Mixture Approach

Implications of Data Anonymization on the Statistical Evidence of Disparity

On finding rank regret reresentatives

Reconciling the Paradoxical Findings of Choice Overload Through an Analytical Lens

Scalable Signal Reconstruction for a Broad Range of Applications

Scalable Algorithms for Signal Reconstruction by Leveraging Similarity Joins

Validity Concerns in Research Using Organic Data