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MISQ Impact Award

Professor Heng Xu received the inaugural Impact Award from MIS Quarterly for her article “Information Privacy Research: An Interdisciplinary Review” (joint work with Tamara Dinev and the late H. Jeff Smith).

Updated 01 Dec 2021

Privacy Measurement Project

We gratefully acknowledge Meta Research for their generous support of our project “Addressing biases in measurement of self-reported privacy constructs”, which was selected as part of the 2021 People’s Expectations and Experiences with Digital Privacy...

Updated 29 Nov 2021

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National Academies Board on Human-System Integration

Heng Xu will join leaders in science, engineering, and industry to serve on the Board on Human-Systems Integration, National Academies of Science, Engineering, and Medicine. The board was established in...

Heng Xu Heng Xu
01 Feb 2024

Goal Orientation for Fair Machine Learning Algorithms

A key challenge facing the use of Machine Learning (ML) in organizational selection settings (e.g., the processing of loan or job applications) is the potential bias against (racial and gender)...

Robust Analytics Lab Robust Analytics Lab
22 Jan 2024

CES APA Panel on What Firms Need to Know about Privacy

Heng Xu joined a panel of experts hosted by the American Psychological Association (APA) at CES 2024 to discuss about what companies need to know about how people understand privacy....

Heng Xu Heng Xu
09 Jan 2024

Information privacy - Challenges and opportunities for technology and measurement

We recently published a book chapter, “Information privacy: Challenges and opportunities for technology and measurement”, in Technology and Measurement around the Globe edited by Drs. Louis Tay, Sang Eun Woo,...

Robust Analytics Lab Robust Analytics Lab
09 Nov 2023

Working Paper - Theorizing about the Complexity of Privacy Phenomena - A Configurational Approach

We posted on SSRN a working paper by Heng Xu and Nan Zhang, addressing challenges facing the theorization of complex privacy phenomena.

Robust Analytics Lab Robust Analytics Lab
06 Nov 2023

An Onto-Epistemological Analysis of Information Privacy Research

Privacy is one of the most urgent issues associated with the advancement of information technology. Yet, there is a growing concern that the issues surrounding privacy have been too complex...

Robust Analytics Lab Robust Analytics Lab
07 Sep 2023

Reducing Adverse Impact Through Machine Learning

Machine learning has emerged as a popular tool for personnel selection, leveraging data to enhance hiring processes. An article forthcoming at Personnel Psychology studies the potential of machine learning in...

Robust Analytics Lab Robust Analytics Lab
01 Jun 2023

Fair Ratemaking for Catastrophe Insurance

Catastrophe insurance is an important element of disaster management. Yet the historical presence of inequalities in insurance, from redlining to pricing disparity, has had a devastating impact on minority communities....

Robust Analytics Lab Robust Analytics Lab
07 Dec 2022

Why Privacy Still Matters

In the December 2022 issue of MIS Quarterly, Heng Xu and Tamara Dinev co-wrote a reflection, “Why Privacy Still Matters”, for their 2011 publication that won the inaugural MIS Quaterly Impact Award in 2021.

Heng Xu Heng Xu
01 Dec 2022