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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.

Sebastian Geiger (sebastian.geiger@lmu.de)

My research focuses on the strategic behavior of so-called "Platforms for Good". Platforms for Good are digital platforms that aim to foster collaboration between various stakeholders (citizens, government agencies, companies, NGOs) to tackle major societal challenges such as climate change, poverty, or lack of education (c.f. https://sdgs.un.org/goals). A key characteristic of these platforms is their pronounced social motive, which seems to have a decisive influence on their strategy. I am interested in how the social motive of Platforms for Good influences their competitive strategy, and effective management and governance practices compared to ‘regular’ digital platforms. Consequently, my research contributes to the intersection of digital platforms and social innovation literature.

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.

Tim Meyer (tim.meyer@lmu.de)

In my research, I analyze how digital transformation, and digital platforms in particular, affect incumbents in traditional industries. More specifically, I am interested in understanding how digital transformation affects the performance and competitive behavior of incumbents, and how it shapes incumbents’ reactions. As a result, my research projects lie at the intersection of competitive strategy and technology and innovation management. I use quantitative methods and large-scale data sets from various contexts (e.g., hospitality, news media, digital currencies) to answer my research questions.

I mainly supervise quantitative master theses in these areas, but I am generally open for related topics.

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.