Contacts

Daniel Zantedeschi

Daniel Zantedeschi

Assistant Professor
danielz@usf.edu
Room: CIS 1040
Phone: (813) 974-5524
Vita

Daniel Zantedeschi is an associate professor in the Information Systems and Decision Sciences Department, 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

RECENT 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.

SERVICE

  • Reviewer, Annals of Applied Statistics, 2013; IE Transactions, 2014; Management Science, 2014, 2017; MIT Press, 2015; Statistica Sinica, 2015; Information Systems Research, 2016, 2017; Journal of Marketing Research, 2016, 2017, 2018; Management of Information Systems Quarterly, 2016, 2017, 2018
  • Representative, McCombs School of Business during “PhD Project” fair to recruit minority students for business PhD studies, 2010
  • Mentor, two ISDS PhD students at USF, one at UC Irvine, one honors undergraduate student at OSU