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dr. AC (Andreas) Bayerl

Biography

Andreas Bayerl is Assistant Professor of Marketing at the Erasmus School of Economics at ÌÇÐÄÖ±²¥. He earned a PhD in Quantitative Marketing from University of Mannheim. His research focuses on how people behave and send information in today’s digital world and how information from the digital world influences people. In particular, Andreas studies online reviews and influencer marketing. Usually, his projects follow a mixed-method approach combining observational data, analyses of text and images as well as field and lab studies. His research has been published in the Journal of Marketing, Harvard Business Review, MIT Sloan Management Review and Nature Human Behavior. Andreas teaches in a class about data science and marketing analytics.

Erasmus School of Economics

Assistant professor | Marketing
Email
bayerl@ese.eur.nl

More information

Work

  • Andreas Bayerl, Yaniv Dover, Hila Riemer & Daniel Shapira (2024) - - Nature Human Behaviour - doi: -
  • Maximilian Beichert, Andreas Bayerl, Andreas Lanz & Jacob Goldenberg (2024) - - Harvard Business Review, 2024-September-October, 23-28 -
  • Maximilian Beichert, Andreas Bayerl, Jacob Goldenberg & Andreas Lanz (2024) - - Journal of Marketing, 88 (4), 40-63 - doi: -
  • Maximilian Beichert, Xiaoxi Zhang, Andreas Bayerl, Jacob Goldenberg, Xian Gu, P.K. Kannan & Andreas Lanz (2024) - - MIT Sloan Management Review, 1-4

  • Andreas Bayerl (20 October 2024) - Women less likely to share negative feedback online out of fear of backlash
  • Andreas Bayerl (2 May 2024) - Wenn weniger mehr ist

    • Andreas Bayerl, Ann-Kathrin Polenz, Asael Sklar & Florian Kraus (2024) - AMA CBSIG Best Talk
    • Andreas Bayerl, Maximilian Beichert, Andreas Lanz & Jacob Goldenberg (2023) - Best Paper Award (GESS)
    • Andreas Bayerl, Verena Schoenmuller, Jacob Goldenberg & Florian Stahl (2023) - Stiftung Marketing Award (University of Mannheim)​
    • Andreas Bayerl (2022) - Best Student Paper Award at WISE Conference 2022
    • Andreas Bayerl, Maximilian Beichert, Andreas Lanz & Jacob Goldenberg (2022) - Best Student Paper Award (WISE Conference)

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