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Paul Marx

  • Dr.
  • Professor of Marketing
  • University of Siegen
  • 4PublicationsNumber of items in Paul's My Publications folder on Mendeley.
  • 19Followers

Recent publications

  • When Consumers are Agents: Can Group Recommender Systems Help Make Better Choices?

    • Hennig-Thurau T
    • Marchand A
    • Marx P
    N/AReaders
    N/ACitations
  • Weiterentwicklung der Conjoint-Analyse: Messung individueller Kundenpräferenzen bezüglich multipler Produkteigenschaften

    • Marx P
    N/AReaders
    N/ACitations

Professional experience

Professor of Marketing

Universitat Siegen

April 2013 - Present

Education

Dr. rer. pol.

Bauhaus Universität Weimar - Bauhaus University

November 2006 - April 2012(5 years)

Dipl.-Oek.

Universität Hannover - University of Hannover

October 2001 - March 2006(4 years)

Novosibirsk State Technical University

September 1998 - July 2000(2 years)

Dipl. Ing.

Novosibirsk State Technical University

September 1996 - July 2000(4 years)

About

Born in Novosibirsk (Russia) Paul Marx has graduated from the Novosibirsk Aerospace Lyceum and then studied Aerohydrodynamics at the Institute of Theoretical and Applied Mechanics (member of SB RAS) and Business Administration at the Novosibirsk State Technical University. During his studies he participated in a number of scientific conferences and has won seven academic awards in the area of applied mathematics. From 1997 to 1998 he served as technical and deputy director of the Siberian non-profit organization “Civil Society” and was one of the founders of “TNT promotion group”. At the same time he filled the executive positions at several regional trading companies. From 1998 to 2000 he worked as marketing director at Siberian ration supply company “Vital Ltd.”. In September 2000 he moved to Germany, where he studied Business Administration at the University of Hanover and founded the web surveys service “eQuestionnaire”. He graduated in 2006 as MBA (Diplom-Ökonom). In his diploma thesis he developed a hybrid adaptive individualized conjoint analysis method (HAIC), which allows the measurement of individuals’ preference structures for products with many (more than 6) attributes. He also developed a software-tool for conducting online and offline conjoint surveys based on HAIC-method. Since November 2006, Paul is a lecturer, doctoral student, and research assistant at the Bauhaus-University of Weimar. In his dissertation he explores ways to improve the prediction performance of internet recommendation systems.

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