… track invites papers using or developing high-powered statistical and data science models to obtain insights into marketing problems, maximize the effectiveness of marketing actions, and to understand and predict marketing phenomena. We welcome data-driven papers providing quantitative measures and analysis techniques to extract information from new data sources such as text, audio, and video-processing as well as traditional data.
If your research is about a topic that is usually considered for publication in Marketing Science, Journal of Marketing Research, the marketing section of Management Science, or Quantitative Marketing and Economics, this is the right track for your work even if you do not consider submitting your work to those journals.
OR Spectrum will publish a Special Issue on “Predicting and Optimizing Marketing Performance in Dynamic Markets” (guest editors: Friederike Paetz, Daniel Guhl, Udo Wagner, and Michel Wedel). https://www.springer.com/journal/291/updates/18184816
The guest editors of the special issue and the chairs of the Methods, Modelling & Marketing Analytics track of are jointly organizing a special session related to the same topics of the special issue. This special session is intended for authors who consider submitting to the special issue to discuss their papers and get early feedback on their research by fellow researchers and the guest editors.
The guest editors of the special issue will be involved in the review process of EMAC papers. However, acceptance at EMAC does not affect the regular review process at OR Spectrum. Furthermore, a paper can also be submitted to the special issue in OR Spectrum if it was not presented at EMAC.
To submit a paper to the special session, please choose the Methods, Modelling & Marketing Analytics track and indicate that the paper should be considered for the Special session by ticking the associated box in the submission process.
Maren Becker, ESCP Business School
Sara Valentini, University of Bologna