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Chair of Marketing

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Welcome to the Chair of Marketing!

What opportunities do new technologies, such as virtual and augmented reality, offer to better understand consumer shopping behavior? Can recommender systems be built that use eye tracking data as input? How do consumers make decisions in virtual and real shopping environments? Which insights can be obtained by analyzing social media data? How can social media influencers be selected efficiently?

The Chair for Marketing deals with these and similar questions. The research focus of the chair is currently: Social media and digitization, information processing and decision research as well as recommender systems in retailing. Most research projects use a quantitative-empirical research approach and use the latest methods, such as eye tracking, virtual reality (VR), augmented reality (AR) and text mining.

We work closely with leading national and international research institutions as well as with small and large companies. International collaborations and co-authorship in research exist with Duke University (USA), Monash University (Australia), the Karlsruhe Institute of Technology (KIT), Justus Liebig University Giessen, Bielefeld University, and the University of Chile.

Our work is problem-oriented and not discipline-focused, which is also reflected in the involvement of external partners in teaching and research.

Meißner, Martin Prof Dr




  • Fundamentals of Marketing
  • Marketing I – Brand Management
  • Marketing II – Consumer Behaviour
  • Advanced Marketing
  • Quantitative Marketing Research Methods
  • Eye tracking in Desktop, Natural and Virtual Environments

Main areas of research

Recommender systems in retailing (virtual and augmented reality)

Your question:

Research in the area of recommender systems in retailing is still in its infancy. In an interdisciplinary research project with Jella Pfeiffer, Thies Pfeiffer and Christian Peukert, we work on developing a recommender system based on attentional information, i.e., mobile eye-tracking information. Results of first empirical studies were recently published in the Journal of Management Information Systems, Information Systems Research, and Journal of Business Research. The development of such a recommender system is a long-term project that requires overcoming technical obstacles and working on many open questions regarding the interpretation of mobile eye-tracking data. Our research group is among the first investigating attentional processes in virtual retail environments. Our approach allows us to automatically analyze the respective data, i.e., allocate fixations to the respective objects in virtual reality. In virtual reality, we can analyze attentional processes “on the fly” and change the environment in real time based on the respondent’s gaze behavior.

Mobile eye tracking has been brought up as a promising research tool for analyzing the effectiveness of promotional design elements. It can be used as a new instrument for collecting data on shopper navigational behavior, aisle placements, and shelf position and therefore is an opportunity to provide new insights into naturalistic shopping behavior. It seems that with the advent of highly portable lightweight mobile eye-tracking equipment, the door is now open for analyzing attentional processes in real-world retail settings. We think that, with the advent of Google glasses or similar technology, our research will be very important for retailers, marketing researchers, and the entire society, as we cannot only understand attentional processes better but also interact with consumers based on attentional information.

Related research articles:

  • Pfeiffer, J., T. Pfeiffer, M. Meißner, E. Weiß (2020): “Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments,” Information Systems Research, forthcoming.
  • Peukert, C., J. Pfeiffer, M. Meißner, T. Pfeiffer, C. Weinhardt (2019): “Shopping in Virtual Reality Stores: The Influence of Immersion on System Adoption,” Journal of Management Information Systems, 36 (3), 1-34.

Information processing and decision-making

Your question:

Research in this area focusses on better understanding information search processes and decision making. We are particularly interested in understanding the extensive information search processes for digital innovations. We frequently use eye tracking to measure visual attention of decision makers. PhD courses on how to use eye tracking are offered on a regular basis.

Related research articles:

  • Meißner, M., A. Musalem, J. Huber (2016): “Eye-Tracking Reveals a Process of Conjoint Choice that is Quick, Efficient and Largely Free from Contextual Biases,” in: Journal of Marketing Research, 53 (1), 1-17.
  • Meißner, M., J. Oll (2019): “The Promise of Eye-Tracking Methodology in Organizational Research: Best Practice Recommendations and Future Avenues,” in: Organizational Research Methods, 22 (2), 590-617.

Social media and digitization

Your question:

Social media have become an integral part of digital marketing strategies. Companies must rethink their communication strategies and learn how to use social media in a targeted manner. A particular challenge is also the fact that the relevance of social media is constantly changing. The marketing discipline is faced with the task of developing and empirically testing theories that justify the effective use of social media. Our research focuses on influencer marketing and the Internet of Things (IoT).

Presentations at conferences:

  • Klostermann, J., D. Böger, M. Meißner, R. Decker (2019). The Effects of Influencers Sponsored Post Frequency on Audience Engagement, 41st Annual ISMS Marketing Science Conference, Rome.

Research & Partners

Ad-hoc Reviewing Functions

Your question:
  • Journal of Marketing Research
  • Journal of Consumer Psychology
  • Information Systems Research
  • Journal of Management Information Systems
  • Journal of Business Research
  • Journal of Behavioral Decision Making
  • OR Spectrum
  • European Journal of Marketing
  • Decision Support Systems

(Co-) Supervision of PhD theses

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  • Jan Klostermann, Bielefeld University, “Learning from Connected Consumers: How Brands Can Utilize User-Generated Content in Online Social Networks”, supervised together with Professor Reinhold Decker (Bielefeld University).
  • Daniel Böger, Bielefeld University, “Essays on Measuring and Modeling Brand Perceptions”, supervised together with Professor Reinhold Decker (Bielefeld University), completed in October 2018.
  • Pascal Kottemann, Bielefeld University, “Essays on Brand Image Effects in Marketing”, supervised together with Professor Reinhold Decker (Bielefeld University), completed in January 2017.
  • Katrin Zulauf, Kassel University, “Einfluss persönlichkeitsbezogener und kultureller Konstrukte auf Verhandlungen”, supervised together with Ralf Wagner (Kassel University), completed in 2014.

Collaboration partners

Your question:
  • Joel Huber, Alan D. Schwarz Professor of Marketing, The Fuqua School of Business, Duke University, USA.
  • Harmen Oppewal, Professor of Marketing, Department of Marketing, Monash Business School, Monash University, Australia.
  • Andrés Musalem, Associate Professor of Marketing, Department of Industrial Engineering, University of Chile, Chile
  • Ricardo Montoya, Associate Professor of Marketing, Department of Industrial Engineering, University of Chile, Chile.
  • Reinhold Decker, Professor of Marketing, Department of Business Administration and Economics, Bielefeld University, Germany,
  • Jella Pfeiffer, Professor of Business Administration, Justus Liebig University Giessen, Germany.
  • Christian Peukert, PhD candidate, Institute of Information Systems and Marketing, Karlsruhe Institute of Technology, Germany.
  • Jan Klostermann, PhD candidate, Department of Business Administration and Economics, Bielefeld University, Germany.
  • Josua Oll, PostDoc, Department of Business Administration, Economics, and Law, Institute for Business Administration and Business Education, University of Oldenburg.
  • Christian Stummer, Professor of Innovation and Technology Management, Department of Business Administration and Economics, Bielefeld University, Germany.


Meißner, Martin Prof Dr
Phone:+49 7541 6009-1221
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Specht, Brigitte
Phone:+49 7541 6009-1500
Room:Semi 1.07