Shriver, Scott and Bryan Bollinger (2022), “Demand expansion and cannibalization effects from retail store entry: A structural analysis of multi-channel demand,” forthcoming at Management Science.
Johnson, Garrett, Scott Shriver and Shaoyin Du (2020), “Consumer privacy choice in online advertising: Who opts out and at what cost to industry?” Marketing Science, 39 (1), 33-51.
– Winner, John D.C. Little (best paper) Award, 2020
Shriver, Scott (2015), “Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol,” Marketing Science, 34 (1), 78-97.
– Winner, Frank M. Bass Award (best dissertation) Award, 2015
– Winner, John D.C. Little (best paper) Award, 2015
Sriram et al. (2015), “Platforms: A Multiplicity of Research Opportunities,” Marketing Letters, 26 (2), 141-152.
Shriver, Scott, Harikesh Nair and Reto Hofstetter (2013), “User-Generated Content and Social Ties: Evidence from an Online Social Network,” Management Science, 59 (6), 1425-1443.
– Semi-finalist, Don Morrison Long Term Impact Award, 2022
– Winner, Swiss Academy of Marketing Science Rigour & Relevance Research Award, 2014
Fierro, J.M. et al. (1995), “EGRET High-Energy Gamma-Ray Pulsar Studies II: Individual Millisecond Pulsars,” The Astrophysical Journal, 447, 807-812.
Buie, Marc W. and Scott Shriver (1994), “The Distribution of Water Frost on Charon,” Icarus, 108 (2), 225-233.
Johnson, Garrett, Scott Shriver and Samuel Goldberg (2022), “Privacy & market concentration: Intended & unintended consequences of the GDPR,” invited revision at Management Science.
Goldberg, Samuel, Garrett Johnson and Scott Shriver (2022), “Regulating Privacy Online: An Economic Evaluation of the GDPR,” invited revision at American Economic Journal: Policy.
Yoganarasimhan, Hema and Scott Shriver (2018), “Optimizing Content and Pricing Strategies for Digital Video Games,” in preparation.
Shriver, Scott, and V. Srinivasan (2016), “What if Marketers Put Customers Ahead of Profits?” in preparation.
Works in Progress
“Commitment Devices: Demand Estimation and Optimal Pricing,” with Oliver Toubia.