Johannes Könemann, M.Sc.
Doctoral Student and Junior Research Fellow
Innovation and Entrepreneurship Research
+49 89 24246-567
johannes.koenemann(at)ip.mpg.de
Areas of Interest:
Behavioral and Experimental Economics, Economics of Science, Innovation
Academic Résumé
Since 10/2024
Junior Research Fellow and Doctoral Candidate, Max Planck Institute for Innovation and Competition (Innovation and Entrepreneurship Research)
09/2022 – 01/2023
Exchange Semester, University of Zurich, Switzerland
10/2021 – 06/2024
Master of Science (M.Sc.) in Economics, Vienna University of Economics and Business, Austria
09/2019 – 01/2020
Exchange Semester, Uppsala University, Sweden
10/2017 – 01/2021
Bachelor of Science (B.Sc.) in Economics, University of Göttingen, Germany
Work Experience
03/2024 – 07/2024
Internship, Directorate-General for Economic and Financial Affairs, European Commission, Brussels
09/2023 – 02/2024
Tutor, Department of Economics, Vienna University of Economics and Business, Vienna
07/2023 – 09/2023
Internship, ifo Center for Public Finance and Political Economy, ifo Institute, Munich
02/2023 – 05/2023
Teaching and Research Assistant, Institute for Digital Ecosystems, Vienna University of Economics and Business, Vienna
07/2022 – 09/2022
Internship, Economic Consulting, Frontier Economics Limited, Berlin
03/2021 – 07/2021
Internship, Audit Attestation, KPMG AG, Munich
04/2020 – 09/2020
Tutor, Chair of Microeconomics, Göttingen University, Göttingen
Honors, Scholarships, Academic Prizes
2019/2020 and 2020/2021
Deutschlandstipendium
Publications
Conference papers
(2025). The Heart of Effort: Revealing Heart Rate Patterns in Real-Effort Tasks, in: Fred D. Davis et al. (
- Many laboratory experiments use real-effort tasks to increase the external validity of their findings. Real-effort tasks activate emotional reactions that are absent in stated-effort tasks. But there is little evidence whether and to which extent emotional reactions differ between participants, and how they affect effort provision. Since self-reported measures can be sensitive to the experimental context, we use heart rate measurements to investigate how participants feel during the task. We conducted a real-effort experiment with 84 participants and collected heart rate data with Polar H10 Heart Rate Sensors. We applied time series clustering on the heart rate data, focusing on shape-based distance (SBD) and k-shape clustering for analysis. The results demonstrate differences in heart rate patterns
among participant clusters, but not in effort provision. This research contributes to a better understanding of emotional reactions during real-effort tasks and offers a novel approach to studying these emotions using heart rate measurements. - https://publikationen.bibliothek.kit.edu/1000172245
- Event: NeuroIS Retreat, Wien, 2024-06-09
Presentations
16.10.2025
Golden Tickets, Red Cards, and Silver Bullets – Funding Risky Research
Research Seminar, Max Planck Institute for Innovation and Competition
Tutzing
09.09.2025
Sexual Misconduct and the Direction of Science
MaxSI Workshop 2025, joint with CBS, Max Planck Institute for Innovation and Competition
Munich
07.07.2025
Sexual Misconduct and the Direction of Science
Innovation Workshop, Ludwig-Maximilians-Universität (LMU)
Munich
27.03.2025
Generative AI, Social Networks, and Innovation
Research Seminar, Max Planck Institute for Innovation and Competition
Zugspitze