Daniel Turner

Senior Lecturer in Marketing
Associate Dean for Masters Programs and Executive Education
Faculty Director, UW-SK Global Management Program
Peter and Noydena Brix Endowed Faculty Fellow

PhD, Northwestern, 2001
MBA, Washington University, 1993
BS, Saint Louis University, 1991

Specialties
Pricing, retailing, marketing models.

Positions Held
At the University of Washington since 1999
Lecturer, Kellogg Graduate School of Management (1996-98)
Marketing Manager, Circuit City Stores (1993-94)
Analyst, Federal Reserve Bank of Saint Louis (1992-93)

Current Research
Multicategory retail pricing, time series analysis of marketing data.

Honors and Awards
TMMBA Excellence in Teaching Award (2007)
MSMBA Excellence in Teaching Award (2006)
ISMBA Excellence in Teaching Award (2006)
PACCAR Award for Teaching Excellence (2005)
MBA Core Professor of the Quarter for Winter (2005)
Daniel R. Siegel Service Award (2002, 2004)
Dean's Special Recognition Award (2004)
Professor of the Year, Evening MBA Class of 2005 (2003)
Doctoral Teaching Award (1997)
Milford S. Bohm Prize in Marketing (1993)

Selected Publications
"Regime Switching in Consumer Grocery Expenditure," Northwestern Paper Series, (1999).

"Temporal Aggregation in Models of Advertising Response," Northwestern Paper Series, (1998).

"The Impact of Technical Standards on the Diffusion of New Technologies," T1E1 Interfaces, (1997).

Selected Consulting Experience
Getty Images, marketing planning.
Chicago Tribune, pricing.
Knoll Pharmaceutical Company, new product marketing.
Ameritech, marketing strategy.

Contact Information

Phone:	206-543-2165
Fax:	206-543-7472
Office:	101a Mackenzie Hall
Email:	djturner@u.washington.edu
Web:

Mailing Address
Foster School of Business University of Washington Box 353200 Seattle, WA 98195-3200

"Gains in information technology have lowered the price of capturing and storing customer transaction data to affordable levels for many organizations. Statistical tools, when combined with information technology and customer databases, prove a useful mechanism for transforming this random mass of bits and bytes into information that enriches marketing decision making."