Current Thesis Topics

On this page, you can find the currently announced bachelor/master thesis topics supervised by the respective members of our Institute.

Filipe Sengo Furtado

Please visit Filipe Sengo Furtado's site or contact him directly on filipe.sengo.furtado@wu.ac.at for more information. Your thesis must be based on empirical evidence and you should be comfortable with programming and quantitative methods. The currently supervised topics are:

Effect of a Carbon Price on Food Waste
Price-Demand Elasticity in Different Markets

Alexander Kulumbeg

Please visit Alexander Kulumbeg's site or contact him directly on alexander.kulumbeg@wu.ac.at for more information. You are also welcome to introduce your own ideas revolving around customer analytics and customer/user privacy. Your thesis must be based on empirical evidence and you should be comfortable with programming in R and quantitative methods. The currently supervised topics are:

Perceptions of Privacy and Adoption of Open-Source Software
Topic Modeling of Videogame Reviews

Martin Reisenbichler

Please visit Martin Reisenbichler's site or contact him directly on martin.reisenbichler@wu.ac.at for more information. Your thesis must be based on empirical evidence and you should be comfortable with programming and quantitative methods. The currently supervised topics are:

Google Search Engine Optimization (SEO)
Google Search Engine Advertising (SEA)

Nadine Schröder

Please visit Nadine Schröders site or contact her directly on nadine.schroeder@wu.ac.at for more information. Your thesis must be based on empirical evidence and you should be comfortable with programming and quantitative methods. The currently supervised topics are:

Topic Analysis in Customer Reviews (Bachelor thesis topic)
How Values May Drive Young Consumers' Sustainable Consumption (Bachelor thesis topic)
Helpfulness Cue - the Impact of the Number of Helpful Votes on Perceived Helpfulness of a Product Review (Master Thesis topic)
How do Platforms Affect Online Reviews? (Master Thesis topic)

Jan Valendin

Please visit Jan Valendin's site or contact him directly on jan.valendin@wu.ac.at for more information. Your thesis must be based on empirical evidence and you should be comfortable with programming and quantitative methods. The currently supervised topics are:

Predicting Customer Behavior with Neural Networks
Marketing the Modern Monetary Theory

Stefan Vamosi

Please visit Stefan Vamosi's site or contact him directly on stefan.vamosi@wu.ac.at for more information. Your thesis must be based on empirical evidence and you should be comfortable with programming and quantitative methods. The currently supervised topics are:

From Sequence Similarities to Clusters: A User Segmentation Task
Chances to Buy: How Important are Covariates to Predict Customers (R: CLVTools)

Stefan Wiesel-Severin

Sie können Ihr Thema (theoriegeleitet) frei wählen. Bei Ihrer Arbeit muss es sich um eine empirische Arbeit handeln.

Bitte besuchen Sie Stefan Wiesel-Severins Seite oder kontaktieren Sie ihn direkt unter stefan.wiesel@wu.ac.at für mehr Informationen.

Daniel Dan

Ihr Thema sollte sich bevorzugt im Bereich (online) Textmining und Machine Learning bewegen.

Bitte besuchen Sie Daniel Dans Seite oder kontaktieren Sie ihn direkt unter daniel.dan@wu.ac.at für mehr Informationen.

Peter Eigenschink