Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine LearningNan ZhangHeng XuInformation Systems Research3522024
Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine LearningNan ZhangHeng XuInformation Systems Research3522024
Reducing Subgroup Differences in Personnel Selection Through the Application of Machine LearningNan ZhangM. WangHeng XuN. KoenigL. HickmanJ. KuruzovichV. NgK. ArhinD. WilsonQ.C. SongC. TangL. Alexander IIIY. KimPersonnel Psychology7642023
Reducing Subgroup Differences in Personnel Selection Through the Application of Machine LearningNan ZhangM. WangHeng XuN. KoenigL. HickmanJ. KuruzovichV. NgK. ArhinD. WilsonQ. SongC. TangL. Alexander IIIY. KimPersonnel Psychology7642023
From Contextualizing to Context Theorizing: Assessing Context Effects in Privacy ResearchHeng XuN. ZhangManagement Science68102022
Disentangling Effect Size Heterogeneity in Meta-Analysis: A Latent Mixture ApproachHeng XuN. ZhangM. WangPsychological Methods2732022
Implications of Data Anonymization on the Statistical Evidence of DisparityHeng XuN. ZhangManagement Science6842022
Reflections on the 2021 Impact Award: Why Privacy Still MattersHeng XuT. DinevManagement Information Systems Quarterly4642022
Reconciling the Paradoxical Findings of Choice Overload through an Analytical LensHeng XuN. ZhangManagement Information Systems Quarterly4542021