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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 & AI Business Group of the TU Darmstadt. I received a Bachelor's degree in Business Informatics from the TU Darmstadt and a Master's degree in Business Informatics with specialization in Data & Web Science from the University of Mannheim. During my studies, I gained several years of experience in various areas at SAP (e.g., as data scientist, analytics / IoT consultant) in Germany and in the Silicon Valley in the USA. In my subsequent PhD studies at the TU Darmstadt, I examined the impact of human-AI collaboration on organizations. Recently, I have also been a visiting scholar at the University of British Columbia in Vancouver, Canada, and the University of Georgia in Athens, GA, USA.

With my research, I strive to help understand how emergent technologies (e.g., artificial intelligence, the metaverse) influence organizations, with a special focus on managing resulting virtuous and vicious dynamics and their consequences for individuals, organizations, and society. For example, my studies focus on the influence of the interplay between human and artificial intelligence on organizational innovation and the influence of the metaverse on collaborative problem solving in teams.

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 computationally intensive theory construction through simulations and digital trace analyses in combination with different quantitative and qualitative methods.

01/2025 – 04/2025 Visiting Researcher at the University of Georgia, Department of Management Information Systems, Athens, GA, USA (By Invitation of Prof. Gerald C. Kane)
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 & AI 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 & AI 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, Electronic Markets, and the Journal of Intellectual Capital 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:
  • Namyslo, N. M., Jung, D., & Sturm, T. (2025) The State of Robo-Advisory Design: A Systematic Consolidation of Design Requirements & Recommendations. Electronic Markets, 35(20). DOI: 10.1007/s12525-025-00762-2.
  • Hendriks, P., Olt, C. M., Sturm, T., & Moos, C. C. (2024). Exploring Team Collaboration in the Metaverse From a Human Capital Perspective. Journal of Intellectual Capital, 25(4), 686–710. DOI: 10.1108/JIC-02-2024-0055.
  • 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.
    “This IS Research” Episode | MISQ Showcase | MISQ Insider Interview
  • 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.
Newspaper Articles:
  • Buxmann, P., & Sturm, T. (2024, Aug. 7). When Artificial Intelligence Gets Sick. Frankfurter Allgemeine Zeitung (FAZ). View Article (German only).
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 (ICIS) (Track: “AI in Business and Society”)
  • Associate Editor of the International Conference on Business Informatics (WI) (Track: “Information Systems in the Age of AI”)
  • Review Board Member of the Information & Management Journal for the special issue on “Bright Internet through Secure and Responsible Artificial Intelligence”
  • Regular reviewer for international journals such as MIS Quarterly, Information Systems Research, Management Science, Journal of the Association for Information Systems, The Journal of Strategic Information Systems, European Journal of Information Systems, Information and Organization, Academy of Management Discoveries, Electronic Markets, and Internet Research.
  • Regular reviewer for international conferences such as the International Conference on Information Systems, European Conference on Information Systems, Hawaii International Conference on System Sciences, International Conference on Wirtschaftsinformatik, and Americas Conference on Information Systems.
Lectures:
Since summer 2025 Lecturer of the course Principles of Software Development and Management
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 and Application
  • Summer: Artificial Intelligence II: Advanced Topics in Algorithms and 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)
Committees:
Since 06/2024 Member of the Doctoral Board of the Department of Law and Economics at TU Darmstadt
Since 11/2022 Member of the Teaching and Study Committee of the Department of Law and Economics at TU Darmstadt
12/2024 Outstanding Associate Editor of the International Conference on Information Systems 2024 (ICIS 2024)
12/2024 At the International Conference on Information Systems 2024 (ICIS 2024) for the article “Organizational Learning and Enactment in the Era of Artificial Intelligence”:
(1) Best Paper in Track 2024 on "Governance, Digital Strategy, and Value”
(2) Best Paper Award 2024 Nominee
(3) Best EIF Kauffman Paper Award 2024 Nominee (EIF = Entrepreneurial Innovation Fellowship)
12/2024 Ernst Ludwig Mobility Grant
07/2024 At the 2024 KrAIS Summer Workshop for the article “Unlocking the Impact of Machine Learning on Organizational Learning: Evidence from US Public Firms”:
Best Short Paper Award 2024 First Runner-Up
07/2024 At the Pacific-Asia Conference on Information Systems 2024 (PACIS 2024) for the article “Exploring Collaboration in Human-Artificial Intelligence Teams: A Design Science Approach to Team-AI Collaboration Systems”:
Best Paper Award 2024 in the track “Digital Technologies and the Future of Work”
07/2024 ACM SIGMIS Doctoral Dissertation Award 2023 2nd Runner-Up (third best dissertation in the field of information systems worldwide published in 2022 – 2023)
06/2024 TARGION Information Systems Research Award 2024 2nd Place (second best dissertation in the field of information systems in German-speaking countries published in 2020 – 2023)
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 VHB 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 (ICIS 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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