Institute for Strategy, Technology and Organization (ISTO)
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Current Thesis Topics

!!! Please pay attention to our Information on Final Theses !!!

Supervised topics for final theses

I am interested in strategic research that focuses on the level of the individual (and teams respectively). Why do employees behave the way they do, and how does this translate into collective organizational outcomes? Relevant areas of study include, but are not limited to, research on innovation- and knowledge management, technology adoption and (micro) competition. I use quantitative methodology and large datasets from diverse contexts (e.g. sports data, video game data) to answer my research questions.

I mainly supervise quantitative bachelor theses on these topics but I am also open for related topic suggestions.

Alexey Rusakov (a.rusakov@lmu.de)

I am interested in research that deals with digital technologies and their influence on competition among companies. What are the strategic challenges of companies in times of changing business structures and emergence of new business concepts in light of digitization? What market segments are affected? How should companies address these challenges? I am also interested in topics that deal with platform markets. How do complements affect the platform market? What are the incentives behind first-party complements for the market participants?

I mainly supervise quantitative bachelor theses, dealing with these topics. I am also open for related topic suggestions. Other methodological approaches (e.g. literature-based) are acceptable, too.

Joy Wu (joy.wu@lmu.de)

I conduct research on the economics of digitization with a focus on questions related to user behavior on online platforms. Here, I am mostly interested in research that considers the (perceived) ownership of information and how people value the information they consume or produce on platforms. However, I am open to any research on individual choices and attitudes that are valuable to platform strategy and governance. As a result, my research projects lie at the intersection of platform strategy, behavioral economics, and information systems research. I use quantitative methodology, with a focus on experimental economics methods and survey instruments.

I generally supervise quantitative (Master’s) theses in these areas, but I am generally open for related topics.

Benedikt Seigner (b.seigner@lmu.de)

My work is at the nexus of strategy, sociology, and entrepreneurship and aims to advance our understanding of the impact of social factors and interaction on value creation. For my studies, I draw data from online platforms and quantify the effects of, e.g., (1) feedback on collaboration, (2) social norms related to age, status, ethnicity, and gender on audience reactions, and (3) rhetoric on resource acquisition. Accordingly, I collect data from (e.g., GitHub, Crunchbase, Indiegogo, Kickstarter, or Twitter) and apply advanced econometrics, machine learning, and natural language processing to answer my research questions.

I supervise quantitative master theses examining these areas and employing such methodologies, but I am also open to closely related proposals.

Ambre Nicolle (a.nicolle@lmu.de)

My research primarily focuses on the demand and supply sides in network and digitized industries. I use structural approaches and observational data to model consumer behavior (e.g. discrete choice models). I also use various reduced-form approaches (e.g. differences-in-differences) to comment on the development of prices and variety of products in network and platform markets. More generally, I am interested in competitive strategy and strategic decision-making of firms.

I supervise quantitative theses on these topics, but I am also open for related topic suggestions.

Vitus Roßmann (v.rossmann@lmu.de)

I am interested in platform research and technology adoption, particularly in the context of payments and financial markets, the interaction of public and private actors, and more broadly in behavioral economics, experimental economics, and quantitative research in general. Furthermore, I’m interested in how humans interact with artificial agents and understanding the underlying mechanisms and biases.

I mainly supervise quantitative theses or lab experiments on these topics but I am also open for related topic suggestions.

Katerina Dubovska (k.dubovska@lmu.de)

My research focuses on the economics of digitalization, especially on the functioning and competition aspects of digital platforms as well as on the role of user data. Moreover, I am interested in development perspectives and challenges of mergers in the digital economy. I use quantitative methodology and large datasets from various contexts to answer my research questions.

I supervise quantitative bachelor theses in these areas, but I am also open to related topic suggestions. Other methodological approaches (e.g. case study, literature-based) are acceptable, too.