martineisend

Institut for Afsætningsøkonomi

Martin
Eisend
Adjunct professor
E-mail:
Eisend@europa-uni.de

Presentation and academic fields

Martin Eisend is Professor of Marketing at the European University Viadrina in Frankfurt/Oder, Germany. Before joining European University Viadrina in 2007, he was an assistant professor at Free University Berlin where he received his PhD in 2003. He has been working as visiting scholar/professor at Columbia University in New York, University of Antwerp, University of Amsterdam, Macquarie University in Sydney and at WU Vienna.

Martin’s research and teaching interests focus on marketing communication and advertising. He is not only interested in the entrepreneurial relevance of these areas, but also in their social significance. His work has been published widely in peer-reviewed international journals, including the Journal of Marketing, Journal of Consumer Psychology, Journal of the Academy of Marketing Science, International Journal of Research in Marketing or Information Systems Research. Martin is considered an international expert in meta-analytic methods and has offered meta-analysis workshops at universities all over the world. Martin has acquired several major research grants (of more than 10 Mio. Euro in total), has authored several best paper award-winning journal articles, and has received awards for teaching and reviewing. Three recent bibliometric studies from 2021 and 2022 count him amongst the five most productive advertising researchers worldwide.

Martin serves on the editorial review boards of all major advertising and marketing communication journals. In 2017, he founded and currently serves as the director of the Center of Market Communications. He was the president of the European Advertising Academy (EAA) from 2018 to 2021, and serves as Vice President of the American Advertising Academy (AAA) from 2022 to 2023.

Research interest

  • Persuasion in advertising
  • Diversity, equality, and inclusion in advertising
  • Advertising, consumers, and society
  • Empirical generalizations
  • Meta-analysis