Gui Liberali

Gui Liberali is the full Professor of Digital Marketing at Rotterdam School of Management (RSM) of the Erasmus University. He holds a doctorate in marketing and a B.Sc. in computer science. His work has appeared on Marketing Science, Management Science, International Journal of Marketing Research, Sloan Management Review, and European Journal of Operational Research. His research interests include optimal learning, multi-armed bandits, digital experimentation, morphing theory and applications (e.g., website morphing, ad morphing), dynamic programming, machine learning, and product line optimization.

Education

• PhD Universidade Federal do Rio Grande do Sul / UFRGS (2002 — 2006)
• Visiting Scholar University of Iowa - Henry B. Tippie College of Business (2004 — 2005)
• Bachelor Universidade Federal do Rio Grande do Sul / UFRGS

Recent Grants, Awards and Honors

• Finalist, ISMS Long-Term Award, 2019, 2018 and 2017, Marketing Science
• One of the Top 7% Reviewers of Marketing Science in 2014, Fastest Turnaround (>2 reviews), INFORMS, 2015
• Top Talent Researcher, Erasmus School of Economics, 2013 (10,000 Euro award)
• High-Performance Researcher of ERIM (Erasmus Research Institute of Management) for eight consecutive years
• ERIM Research Grant for research on product category modeling (in 2011)
• Marie Curie grant for research on optimization models for IPTV (European Union; 185,000 Euro in 2010)
• 2010 Finalist, John D.C. Little Best Paper Award, Marketing Science/Management Science
• 2009 Emerald Group Citation of Excellence, top 50 of 15,000 papers in management journals.

Selected Publications, SIs and Editorials

"Morphing for Consumers Dynamics: Bandits Meet HMM", with Alina Ferecatu (2022). Marketing Science, forthcoming.

Kay Giesecke, Gui Liberali, Hamid Nazerzadeh, J. George Shanthikumar, Chung Piaw Teo (2022) Introduction to the special section on Data-Driven Prescriptive Analytics. Management Science 68(3):1591-1594.

Kay Giesecke, Gui Liberali, Hamid Nazerzadeh, J. George Shanthikumar, Chung Piaw Teo (2018) Call for Papers - Special Issue on Data-Driven Prescriptive Analytics. Management Science 64(6):2972-2972.

"Introduction to the IJRM Special Issue on Marketing and Innovation", with Eitan Muller, Roland Rust and Stefan Stremersch (2015). International Journal of Research in Marketing.

"Website Morphing 2.0: Switching Costs, Partial Exposure, Random Exit, and When to Morph", with John Hauser, Glen Urban (2014). Management Science.

"Morphing Banner Advertising", with John Hauser, Glen Urban, Robert Bordley, Erin Mac Donald (2014). Marketing Science.

"Competitive Information, Trust, Brand Consideration and Sales: Two Field Experiments ", with John Hauser, Glen Urban (2013). International Journal of Research in Marketing.

"Product Line Design Optimization" (2011). International Journal of Research in Marketing.

"Effects of Sensitization and Habituation in Durable Goods Markets", with Thomas Gruca and Walter Nique (2011). European Journal of Operational Research.

"Website Morphing", with John Hauser, Glen Urban and Michael Braun (2009). Marketing Science.

Finalist, John D. C. Little Award for Best Article published in Marketing Science and Management Science, 2009.

"Rejoinder and Response to Comments on Website Morphing" , with John Hauser, Glen Urban, and Michael Braun(2009). Marketing Science.

"Morphing the Web - Building Empathy, Trust, and Sales" , with Glen Urban, John Hauser, Michael Braun and Fareena Sultan (2009). MIT Sloan Management Review.