Phieler_DCR-4 ©DCR

Dr. Ulrike Phieler

Graduiertenkolleg "DCR"


Research Interests

  • Organic and Amplified Word of Mouth
  • Consumer Psychology
  • Brand Management
  • Quantitative Methods

Ulrike Phieler: Vita


2013 – present:  PhD-candidate at the Faculty of Marketing and Management

  • European University Viadrina Frankfurt (Oder)

​2010 – 2012:  International Business Administration (M. Sc.)


  • European-University Viadrina, Frankfurt/ Oder

September – December 2011:  Exchange Semester Syddansk Universitet 


  • International Graduate Programme, Odense

2006  –  2010:  Business Psychology, (B. Sc.) 


  • Hochschule Harz, Wernigerode


Professional Background

2013 – 2017: Research and Teaching Assistant
  • European-University Viadrina , Frankfurt/ Oder

2013 – 2015:  Data Scientist for Research Project


  • Co-Operation with TRND AG, Munich

2014, 2016:  Parental leave


February – September 2010:  Volonteer


  • Mückenbusch e.V., Lebus (Frankfurt/ Oder)


March – July 2009: Intern


  • Mückenbusch e.V., Lebus (Frankfurt/ Oder)


Grants and Scholarships

  • Ph.D. Scholarship of the Dieter-Schwarz Foundation

  • Travel Grant of German Academic Exchange Service (DAAD)


Conference Presentations

  • Phieler/Dost/Tarrahi, The Impact of Brand Interest levels on Traditional and Multicast Media Effectiveness, 2013, Forschungstagung, Berlin, Deutschland.


  • Dost/Phieler/Tarrahi, Amplified Word-of-Mouth Effectiveness and Efficiency in the Marketing Mix, 2013 INFORMS Marketing Science Conference, Istanbul, Türkei.


Working Paper

  • Dost/Phieler, Integrating Seeded Marketing Campaigns Into The Marketing Plan, Journal of Marketing (under revision, 2nd round)


  • Phieler/Dost, On Brands and Amplified WOM.



  •  Tutorial for introductory course of Marketing
  • Seminar on Methodology
2013 - 2015:
  • Assistant for seminars with varying Marketing or research related topics (e.g. Pricing, Decision Making, Replication, Scientific Thinking)
2013 - 2017:
  • Supervision of Bachelor and Master theses


Computer Skills and Research Methodologies

  • R, Gretl, SPSS
  • Analyses of Cross-sectional, Time-series and Panel-data, Analysis of Interviews, Content and Document Analysis