Dr. Alexa Burmester

Assistant Professor of Applied Quantitative Methods

Dr. Alexa Burmester

Assistant Professor of Applied Quantitative Methods

Dr. Alexa Burmester is Assistant Professor of Applied Quantitative Methods at Kühne Logistics University. She received her PhD in Marketing at the University of Hamburg (Germany). She holds a Diploma in Business Administration from the University of Hamburg. Before joining Kühne Logistics University in 2021, Alexa Burmester was a post-doc researcher and Habilitand at the Institute of Marketing & Media at University of Hamburg, Germany.

Burmester has taught various quantitative methods, marketing and digitalization classes in bachelor, master, and PhD programs at the University of Hamburg as well as statistics courses as external lecturer at the Kühne Logistics University. In her teaching she combines fundamental quantitative methods and real world managerial problems to prepare students for making data driven decisions. She uses various teaching methods to foster the students’ learning process and invites representatives from the industry to connect theory and practice.
Burmester's research focuses on solving methodological challenges in the context of quantitative data. Her research topics cover marketing, digitalization and sustainability and are driven by real-world problems from practice. In this context she is specialized on solving endogeneity issues, a common problem of secondary data. In her research she implemented instrumented variables, propensity score matching, but also an gaussian copula approach to resolve issues of endogeneity in the absence of appropriate instrument variables. Her research has been published in International Journal of Research in Marketing. She has also presented her work at major international conferences (e.g., Marketing Science Conference, The European Marketing Academy Conference, European Media Management Association Conference). She achieved the 2nd place at the EMAC McKinsey Marketing Dissertation Award and her work received the Best Paper Award of the International Journal of Research in Marketing in 2015.



Tel: +49 40 328707-232
Fax: +49 40 328707-209


Academic Positions

Since 8/2021

Assistant Professor of Applied Quantitative Methods, Kühne Logistics University, Hamburg, Germany
2019 - 2021

External Lecturer for Statistics, Kühne Logistics University, Hamburg, Germany

2013 - 2021

Assistant Professor at the Chair for Marketing & Media of Prof. Dr. Michel Clement, University of Hamburg, Hamburg, Germany


Visiting Scholar, University of Groningen, Groningen, The Netherlands

2006 - 2014

Lecturer for Cinema 4D, Kunstschule Alsterdamm, Hamburg, Germany


2009 -  2013

Dr. rer. pol., University of Hamburg, Hamburg, Germany

2005 - 2009

Diploma in Business Administration, University of Hamburg, Hamburg, Germany

2001 - 2005Graphic Design Degree, Kunstschule Alsterdamm, Hamburg, Germany

Selected Publications

DOI: https://doi.org/10.1016/j.ijresmar.2015.06.005 

Abstract: The rise of the Internet and new online services have led to the wide-scale illegal distribution of digital entertainment products, such as music, movies, games, and books. We analyze whether firms in the entertainment industry should fight unlicensed usage by providing specific offers that maximize the utility for segments relying on unlicensed usage, i.e., by optimizing timing and pricing strategies, or whether they should simply accept a certain level of unlicensed usage. We combine Becker's (1968) economic approach to analyzing social issues with random utility theory to develop a choice model for media products in which we account for unlicensed usage. We then apply the model in two large-scale empirical studies on movies and books. The results show that consumers who prefer unlicensed usage are sensitive to the marketing mix to some extent in both markets. However, optimizing timing and pricing only has limited impact on additional revenue generation. Thus, from a managerial perspective, it is very difficult to reduce the relative loss due to unlicensed usage by providing targeted offers.

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DOI: https://doi.org/10.1016/j.ijresmar.2015.09.003 

Abstract: The economic value of celebrity brands is heavily influenced by their ability to generate large-scale consumer interest. We develop a comprehensive framework for the drivers of celebrities' market popularity (in terms of consumer interest generated by celebrities) including variables related to actors, movies, and actor–movie fit. To test the framework, Internet search histories are examined for 161 film stars over the course of more than 6 years (January 2004–June 2010). In particular, we test three hypotheses. First, with regard to actor-related variables, we do not find support for the postulated inverted U-shaped effect from the frequency of movie appearances on the market popularity of film stars (H1). Rather, the results indicate a monotone and positive relationship between a film star's frequency of movie appearances and consumer interest in the film star. Second, with respect to movie-related factors, the findings indicate that both positive and negative abnormal movie revenues increase the popularity of film stars (H2). Third, concerning variables related to actor–movie fit, the results support the hypothesized U-shaped effect from actor–movie fit on the market popularity of film stars (H3). On a managerial level, this study provides insights for film stars on how to enhance their market popularity by increasing the frequency of their movie appearances and by selecting films that are likely to generate abnormal revenues and have a certain fit with their image.

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DOI: 10.1016/j.ijresmar.2015.05.005 

Abstract: When companies launch new products, they need to understand the impact of publicity and advertising on sales. What is their relative effectiveness? Do they strengthen each other (have a positive interaction effect) or weaken each other (have a negative interaction effect)? Further, does the timing of these activities (before or after launch) affect their impact on sales? This paper develops hypotheses regarding the elasticities of pre- and post-launch publicity and advertising on sales. The hypotheses are tested on a large-scale empirical data set that tracks sales, publicity, and advertising for 3336 video games across 52 weeks covering the pre- and post-launch phases. The results demonstrate that pre-launch publicity is more effective than pre-launch advertising but that the reverse is true post-launch. Surprisingly, the analysis reveals a negative interaction effect between pre-launch advertising and publicity, which means that publicity becomes less effective when it is accompanied by higher levels of advertising for the same product. Simulations indicate that companies can gain most sales by focusing on publicity pre-launch, and that there is little benefit from increasing publicity and advertising during the same phase, which is consistent with negative (pre-launch) and zero (post-launch) interaction effects.

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