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David Eisenberg
Assistant Professor, Information Management and Business Analytics, Feliciano School of Business
- Office:
- School of Business
- Email:
- eisenbergd@montclair.edu
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Profile
David received his Ph.D. in Information Systems at New Jersey Institute of Technology in May 2024, where he researched business and consumer applications of emerging technology. Prior to his PhD, he completed two masters degrees, in Information Technology from Virginia Tech, and Library and Information Science from Rutgers University. During his doctoral degree, David has published numerous manuscripts and conference proceedings, was named a Georgia Tech Research Institute Fellow, National Science Foundation I-Corps Fellow, George Mason University Mercatus Fellow, Junior Scholar of the American Marketing Association’s Public Policy Conference, Founder's Award recipient and Emerging Scholar of the Society of Business Ethics, and has served as 2023, 2024, and 2025 American Association of Information Systems Future of Work track co-chair, and their Cognitive Information Systems mini-track co-chair.
Specialization
Information Management, Artificial Intelligence, Marketing Technology, Disruptive Technology, Internet of Things, Future of Work, Sensor Technology, Technology Policy and Ethics
Office Hours
Fall
- Monday
- 9:30 am - 11:00 am
- Thursday
- 9:30 am - 11:00 am
Links
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Research Projects
Digital Discrimination in Sports Management
International study examining digital discrimination in sports management towards individuals with disabilities. Examining both European and United States sports leagues across football, basketball, baseball, soccer, and rugby.
Explainable Artificial Intelligence for Cancer Prediction
Using Explainable Artificial Intelligence (XAI) to identify potential cancer patients via data obtained by permission from the National Institute of Health. In collaboration with Wayne State Medical School and New Jersey Institute of Technology.
Consumer Response to Health App Data Breaches
Understanding consumer churn and disuse of health apps, after privacy violations are made public, through text analytics and online human subjects experiments. Empowering companies to better address consumer emotional responses correctly, to regain consumer trust, help recovery efforts, and avoid loss of users