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Dr. Timo Sturm

Assistant Professor

Contact

work +49 6151 16-24335
fax +49 6151 16-24335

Work S1|02 336a
Hochschulstraße 1
64289 Darmstadt

Links

Welcome! I am an assistant professor and candidate for habilitation at the Software & Digital Business Group of the Technical University of Darmstadt. I received a bachelor's degree in Business Informatics from the Technical University of Darmstadt and a master's degree in Business Informatics with specialization in Data & Web Science from the University of Mannheim. Parallel to my bachelor’s and master’s studies, I gained several years of experience in various areas at SAP (e.g., data science; analytics and IoT consulting) in Germany and in the Silicon Valley in the USA. During my PhD studies at the Technical University of Darmstadt, I focused on the impact of human-AI collaboration on organizations. After a research visit at the renowned University of British Columbia in Vancouver, Canada, I started my habilitation at the Technical University of Darmstadt.

With my research, I strive to help understand how artificial intelligence changes organizations in virtuous and vicious ways, with a special focus on collaborations between human and artificial intelligence and their emergent dynamics in organizations. To this end, I focus on (1) the use of artificial intelligence in organizations and its impact on organizational efficiency and effectiveness, (2) data-driven innovation and ideation processes, and (3) machine learning and data science methods.

Methodologically, I prefer to pursue a rather explorative approach, hoping to inspire others and stimulate novel exciting endeavors in research and practice. Currently, my studies involve a stronger focus on (1) computationally intensive theory construction (e.g., simulations and digital trace analyses) and (2) qualitative interview studies.

02/2023 – 05/2023 Visiting Researcher at the University of British Columbia, Management Information Systems Division, Vancouver, Canada (By Invitation of Prof. Ning Nan)
Since 02/2023 Candidate for Habilitation and Postdoctoral Researcher at the Software & Digital Business Group, School of Business, Economics, and Law of the Technical University of Darmstadt, Darmstadt, Germany
05/2019 – 02/2023 Research Associate & Ph.D. Candidate at the Software & Digital Business Group, School of Business, Economics, and Law of the Technical University of Darmstadt, Darmstadt, Germany
02/2018 – 02/2019 Working Student (Data Science & IoT Consulting) at SAP Deutschland SE & Co. KG, Walldorf, Germany
07/2017 – 02/2018 Research Assistant at the Chair of General Management and Information Systems of the University of Mannheim, Mannheim, Germany
01/2017 – 12/2017 Working Student (Data Science: Predictive Maintenance & Service) at SAP SE, Walldorf, Germany
09/2016 – 12/2016 Working Student (SAP Global Consulting Delivery: Big Data, HANA, Analytics) at SAP Deutschland SE & Co. KG, Walldorf, Germany
08/2016 – 04/2019 Master of Science Business Informatics with Specialization Track Data & Web Science at the University of Mannheim, Germany
03/2016 – 08/2016 Intern (SAP Global Consulting Delivery: Big Data, HANA, Analytics) at SAP America, Inc., Palo Alto, CA, USA
08/2015 – 01/2016 Intern (Analytics & Business Intelligence Consulting) at ATVISIO Consult, Kaiserslautern, Germany
10/2013 – 08/2015 Working Student (Application Innovation Development) at SAP SE, Walldorf, Germany
10/2012 – 02/2016 Bachelor of Science Business Informatics at the Technical University of Darmstadt, Germany
Author of articles in international journals such as MIS Quarterly, The Journal of Strategic Information Systems, IEEE Transactions on Intelligent Transportation Systems, and Diagnostics and in international conferences such as the International Conference on Information Systems, the European Conference on Information Systems, and the Hawaii International Conference on System Sciences.
Google Scholar: Link to Timo Sturm's profile on Google Scholar
ResearchGate: Link to Timo Sturm's profile on ResearchGate
Research interests:
  • General: Organizational consequences of human-AI collaborations, data-driven innovation and ideation processes, and machine learning / data science methods
  • Topics: Artificial intelligence, organizational learning, knowledge management, (bounded) rationality, complex adaptive systems
  • Methods: Computationally intensive theory construction (i.a., simulations and digital trace analysis), qualitative interview studies, surveys, and mixed methods
Selected Publications:
  • Sturm, T., Pumplun, L., Gerlach, J. P., Kowalczyk, M., & Buxmann, P. (2023). Machine Learning Advice in Managerial Decision-Making: The Overlooked Role of Decision Makers’ Advice Utilization. The Journal of Strategic Information Systems, 32(4), 101790. DOI: 10.1016/j.jsis.2023.101790.
  • Sturm, T., Gerlach, J. P., Pumplun, L., Mesbah, N., Peters, F., Tauchert, C., Nan, N., & Buxmann, P. (2021). Coordinating Human and Machine Learning for Effective Organizational Learning. MIS Quarterly, 45(3), 1581–1602. DOI: 10.25300/MISQ/2021/16543.
  • Sturm, T., Krupitzer, C., Segata, M., & Becker, C. (2021). A Taxonomy of Optimization Factors for Platooning. IEEE Transactions on Intelligent Transportation Systems, 22(10), 6097–6114. DOI: 10.1109/tits.2020.2994537.
  • Gawlitza, J., Sturm, T., Spohrer, K., Henzler, T., Akin, I., Schönberg, S., Borggrefe, M., Haubenreisser, H., & Trinkmann, F. (2019). Predicting Pulmonary Function Testing from Quantified Computed Tomography Using Machine Learning Algorithms in Patients with COPD. Diagnostics, 9(33), 1–13. DOI: 10.3390/diagnostics9010033.
  • Vetter, O. A., Sturm, T., Fecho, M., & Buxmann, P. 2023. Machine Learning Developments as Stimuli for Organizational Learning. Proceedings of the 44th International Conference on Information Systems. URL: https://aisel.aisnet.org/icis2023/gov_strategy/gov_strategy/5.
  • Sturm, T., Koppe, T., Scholz, Y., & Buxmann, P. (2021). The Case of Human-Machine Trading as Bilateral Organizational Learning. Proceedings of the 42nd International Conference on Information Systems. URL: https://aisel.aisnet.org/icis2021/ai_business/ai_business/3.
Dissertation:
  • Sturm, T. (2023). Exploring Human and Artificial Intelligence Collaboration and Its Impact on Organizational Performance: A Multi-Level Analysis [Doctoral dissertation, TU Darmstadt]. TUprints. DOI: 10.26083/tuprints-00023285.
Service and Reviewer Activities:
  • Associate Editor of the Journal of Management Information Systems (JMIS) for the special issue on “Generative AI and its Transformative Value for Digital Platforms”
  • Associate Editor of the International Conference on Information Systems (Track: “AI in Business and Society”)
  • Regular reviewer for international journals such as MIS Quarterly, Information Systems Research, Journal of the Association for Information Systems, The Journal of Strategic Information Systems, European Journal of Information Systems, Information and Organization, and Electronic Markets.
  • Regular reviewer for international conferences such as the International Conference on Information Systems, European Conference on Information Systems, Hawaii International Conference on System Sciences, and International Conference on Wirtschaftsinformatik.
Since winter 2022/2023 Organizer of the PhD course “Monthly Research Pitch”
Since winter 2022/2023 (annual rotation) Lecturer and tutor of the “Venture Creation Course”
Since winter 2019/2020 and summer 2020 (annual rotation) Lecturer, tutor, and project coordinator of the module “Artificial Intelligence: Algorithms and Applications” consisting of the following courses:
  • Winter: “Artificial Intelligence I: Basics in Algorithms und Application”
  • Summer: “Artificial Intelligence II: Advanced Topics in Algorithms und Application”
Summer 2019 Supervisor and tutor of the course “Digital Business” (formerly: “Information Management”)
Since summer 2019 Supervision of several master, bachelor, and seminar theses (focus on Artificial Intelligence, Data Science, and Machine Learning)
02/2024 Award for Outstanding Scientific Achievement 2024 (Best dissertation at the Department of Law and Economics of the TU Darmstadt in 2023)
11/2023 At the Hawaii International Conference on System Sciences 2024 (HICSS 2024) for the article “From Avatars to Allies: Exploring Team Collaboration in the Metaverse”:
(1) Best Paper 2024 in the track “The Dark and Bright Sides of the Metaverse”
(2) HICSS 2024 Best Paper Award Nominee
02/2023 Graduation as Dr. rer. pol. with distinction (summa cum laude)
06/2022 AISD First Award 2022 of the Association for Information Systems (Chapter Germany) for the MIS Quarterly article “Coordinating Human and Machine Learning for Effective Organizational Learning”
01/2022 Best Information Systems Paper 2022 and Finalist for the VHB Best Paper Award 2022 of the German Academic Association of Business Research for the MIS Quarterly article “Coordinating Human and Machine Learning for Effective Organizational Learning”
12/2021 At the International Conference on Information Systems 2021 for the article “Human-Machine Trading as Bilateral Organizational Learning”:
(1) Best Student Paper 2021 on information systems, innovation, and entrepreneurship in the track “AI in Business and Society”
(2) Kauffman Best Student Paper Award 2021 Nominee
11/2019 Master’s degree with distinction, best graduate of 2019 in information systems at the University of Mannheim, Germany
10/2014 – 09/2015 Germany Scholarship (“Deutschlandstipendium”) of the German Federal Ministry of Education and Research
10/2013 – 09/2014 Germany Scholarship (“Deutschlandstipendium”) of the German Federal Ministry of Education and Research
Since 10/2013 SAP FastTrack Program for “the top 10% of the highest-performing students in Germany, Austria, and Switzerland”
09/2023 Learning in the Age of the Learning Machines, Keynote of the Serviceware Coding Convention, Serviceware Headquarters in Idstein, Germany
06/2023 The Impact of Human-Artificial Intelligence Partnerships on Organizational Learning, European Conference on Information Systems, Kristiansand, Norway
02/2022 How Machine Learning Shapes Organizational Learning, Brown Bag Seminar, University of Passau
12/2021 The Case of Human-Machine Trading as Bilateral Organizational Learning, International Conference on Information Systems 2021, Austin, TX, USA
11/2021 Hybrid intelligence and services: Opportunities for Human and AI Collaboration, Google DevFest, virtual Event
09/2021 Coordinating Human and Machine Learning for Effective Organizational Learning, MIS Quarterly Showcase “Managing AI”, virtual Event of the Questrom School of Business, Boston University and MIS Quarterly
06/2021 Analytics for a Sustainable Society: Simulation Research, Seminar on Simulations, virtual Event of the University of Cologne
06/2021 Artificial Intelligence & Machine Learning as the Most Important General-Purpose Technology of the 21st Century, Keynote of the Software Forums Leipzig 2021, virtual Event
05/2021 A Framework for the Ideation and Evaluation of Problems to be Solved with Artificial Intelligence, virtual Event of the Johannes Gutenberg University Mainz
06/2020 The Impact of Artificial Intelligence on Individual Performance: Exploring the Fit Between Task, Data, and Technology, European Conference on Information Systems, virtual Conference
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