Daniel Zantedeschi

Daniel Zantedeschi is an assistant professor in the School of Information Systems and Management, joining the full-time faculty in August, 2019. He comes from the Fisher College of Business at The Ohio State University, where he was an assistant professor in marketing and logistics. Prior to that, he was an assistant professor in the Muma College of Business where he was affiliated with the Center for Analytics and Creativity and the Interdisciplinary Consortium for Data Sciences.

His research interests include digital multi-channel Attributi9on, Advertising, Pricing and promotions management and various topics in statistical methodology, data science and computer skills.

Zantedeschi earned a PhD in information risk and Operations management and a masters’ degree in economics from the University of Texas, Austin. He received a master’s degree in statistics and stochastic modeling from the University of California, Santa Cruz

RESEARCH

• “Forecasting Fundraising Outcomes in Crowdfunding Campaigns Using Contribution Dynamics,” with O. Fan-Osuala and W. Jank, “(forthcoming), International Journal of Forecasting.
• “Advancing Non-Compensatory Choice Models in Marketing,” (2017), with G. Allenby, M. Dotson, S. Seiler, R. Kohli, K. Jedidi, D. Curry, X.Wang, T. Bentley and T. Henderson, Customers Needs and Solutions.
• “Measuring Multi-Channel Advertising Response Using Consumer-Level Data,” (2016), with E.T Bradlow and E. Feit, Management Science.
• “Direct Sampling," with S.G. Walker, P. Laud and P. Damien, (2011), Journal of Computational and Graphical Statistics, Vol. 20, No. 3: 692–713,
• “Predictive Macro-Finance with Dynamic Partition Models,” (2011), with P. Damien and N. Polson, Journal of the American Statistical Association, Volume 106, Issue 494, Page 427-439.