Following my first days at Uni Innsbruck, I had a short interview with Nina Brillinger, who supports the department as a student assistant. We talked about research, teaching, and what are central factors in an academic career. The interview (in German) is available here: https://www.uibk.ac.at/fakultaeten/betriebswirtschaft/news/2021/lindner.html.de.
As of May 1, I started a new job as full professor of international management at the University of Innsbruck. There is still a lot of work in terms of setting things up, but the university has posted a first “welcome” message, which I share here: https://www.uibk.ac.at/newsroom/dossiers/neue_gesichter/. Looking forward to new challenges and adventures!
WU’s Future Learning Now newsletter includes an interview I gave on using peer feedback in my graduate and undergraduate teaching: https://learn.wu.ac.at/open/tlac/teacherstalk-april2021. The central reason why I think using peer feedback for teaching is because it encourages critical reflection on the perspectives from which complex problems can be solved. Check out the full interview (in German)
In received a Scholarship of Teaching and Learning (SoTL) grant from WU to explore how cooperative learning relates to student performance. Information on the project is available here: https://learn.wu.ac.at/open/tlac/sotl-juni2020.
The “Machine Learning and the MNC” course I co-taught with Claus Aichinger in the International Management / CEMS program at WU in the winter term 2019/20 has received WU’s innovative teaching award. We had a great time working with our students, and look forward to the next time we teach the course in the winter
Together with Jonas Puck and Jakob Müllner I discussed some recent research papers with the new pMBA cohort in Energy Management at WU (https://executiveacademy.at/de/programme/mba/professional-mba/energy-management). We looked into MNE-state bargaining (https://doi.org/10.1016/j.jwb.2017.07.003) as well as alliance formation in infrastructure project syndication (https://doi.org/10.5465/amj.2017.0265). Thank you for the good discussion!
Together with Claus Aichinger, I introduce students to machine learning techniques and how they can be applied in multinational companies. 30 MSc and CEMS MIM students work on group projects that challenge them to use machine learning algorithms to make business decisions based on quantitative data.
This elective introduces 30 MSc and CEMS MIM students to data science techniques like linear and generalized linear models. In an investment-decision project, students apply this methodology to support management in their selection of a target market.
It was a pleasure hosting a module in the Vienna residence for MBA students at FAU Nuremberg! Thanks for your engaging participation.
This is an MSc/CEMS MIM course on international corporate finance, including modules on transfer pricing and project finance.