research overview
- Professor Shriver is a quantitative marketing researcher whose interests include network effects, multi-channel demand, online privacy, sustainability, empirical industrial organization and applied econometrics.
- Contact Info
Shriver, Scott Kennedy Assistant Professor
Positions
- Assistant Professor, Leeds School of Business
Research Areas
Research
keywords
- network effects, online social networks, online privacy, technology adoption, new product development, multi-channel demand, alternative energy, green marketing, social enterprise, empirical industrial organization, applied econometrics
Publications
selected publications
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journal article
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Consumer Privacy Choice in Online Advertising: Who Opts Out and at What Cost to Industry?.
Marketing Science.
33-51.
2020
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Platforms: a multiplicity of research opportunities.
Marketing Letters.
141-152.
2015
-
Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol.
Marketing Science.
78-97.
2015
-
Social Ties and User-Generated Content: Evidence from an Online Social Network.
Management Science.
1425-1443.
2013
-
THE 2ND EGRET CATALOG OF HIGH-ENERGY GAMMA-RAY SOURCES.
Astrophysical Journal Supplement.
259-286.
1995
-
EGRET HIGH-ENERGY GAMMA-RAY PULSAR STUDIES .2. INDIVIDUAL MILLISECOND PULSARS.
Astrophysical Journal.
807-812.
1995
-
THE DISTRIBUTION OF WATER FROST ON CHARON.
Icarus.
225-233.
1994
-
Consumer Privacy Choice in Online Advertising: Who Opts Out and at What Cost to Industry?.
Marketing Science.
33-51.
2020
Teaching
courses taught
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MSBX 5310 - Customer Analytics
Primary Instructor - Spring 2018 / Spring 2019 / Spring 2020
Provides a deep understanding of customer centricity and its implications for the firm; state-of-the art methods for calculating customer lifetime value and customer equity; analytical and empirical skills that are needed to judge the appropriateness, performance, and value of different statistical techniques that can be used to address a issue around customer acquisition, development, and retention. Students will use their knowledge of R programming in this course.
Background
education and training
- Ph.D., Stanford University 2011
- M.A., Stanford University 2008
- M.B.A., University of California-Los Angeles 2005
- M.S., Stanford University 1995
- B.A., University of North Carolina Chapel Hill 1992