Area Information Systems

The Area Information Systems is part of the Faculty of Business Administration and consists of the chairs of Professors Jens Förderer, Armin Heinzl, Hartmut Höhle, Markus Strohmaier and Junior Professor Jana Rebecca-Rehse.

On this page you will find links to the individual chair websites as well as news and recent publications from the Area Information Systems. For an overview of the wide range of courses offered, contact information for scientific staff, and insight into current research projects please visit the individual chair websites.

Aktuelles

Maren Ehrgott wins prestigious science prize for her Master's thesis

We congratulate Maren Ehrgott on her success! The Volksbank Kurpfalz Foundation and the ZEW – Leibniz Centre for European Economic Research have awarded her Master's thesis with the 12th “Future of Work” Science Award – congratulations! The award recognizes her outstanding master's thesis on “Gender ...

HWS2024 IS201, IS405, IS614, and IS615 Exam Review only for students who failed the exams (Klausureinsicht für Durchgefallene) on Tuesday, Jan 21, 2025, from 9am to 12am

Students who participated in one of the exams in IS201, IS405, IS614, or IS615 in HWS 2024/25 at the Chair of Prof. Dr. Armin Heinzl and failed the exam can review their exam on Tuesday, January 21, 2025, from 9am to 12am in room 214/215 in L15, 1–6. A registration at the chair's office, room 514 ...

Prof. Dr. Armin Heinzl Receives AIS Fellow Award

For his outstanding contributions to the field of Information Systems, Prof. Dr. Armin Heinzl was honored with the AIS Fellow Award at this year’s “International Conference on Information Systems (ICIS).” The award is given to members of the AIS community who have made exceptional contributions to ...

Mechthild Pieper wins the AISD First Award

For her publication „Micro-Randomized Trials in Information Systems Research: Introducing a Novel Method to Advance Knowledge About Individual Behavior in Our Digitalized World”, Mechthild Pieper was awarded with the AISD First Award. The award is designed to promote new members of the AISD ...

Grohs, M., Pfeiffer, P. and Rehse, J.-R. (2025). Proactive conformance checking: An approach for predicting deviations in business processes. Information Systems : IS, 127, 1–18.
Pethig, F., Höhle, H., Hui, K.-L. and Lanz, A. (2025). Behavior toward newcomers and contributions to online communities. MIS Quarterly (forthcoming).
Pieper, M. and Gleasure, R. (2025). How AI helps to compile human intelligence: An empirical study of emerging augmented intelligence for medical image scanning. Information Systems Journal : ISJ, 1–23.
Abb, L. and Rehse, J.-R. (2024). Process-related user interaction logs: State of the art, reference model, and object-centric implementation. Information Systems : IS, 124, 1–16.
Dietz, J. and Pethig, F. (2024). Informationen zur Universitätsbibliographie MADOC (Mannheim Electronic Document Server). MIS Quarterly (forthcoming).
Dietz, J., Spohrer, K. and Höhle, H. (2024). Identity work in interdependent professional groups: The role of a target identity in enterprise systems implementation. Information Systems Research : ISR, 1–21.
Förderer, J. and Burtch, G. (2024). Estimating career benefits from online community leadership: Evidence from stack exchange moderators. Management Science, 1–24.
Jussupow, E., Benbasat, I. and Heinzl, A. (2024). An integrative perspective on algorithm aversion and appreciation in decision-making. Management Information Systems : MIS Quarterly, 48, 1575-1590.
Kircher, T. and Förderer, J. (2024). Ban targeted advertising? An empirical investigation of the consequences for app development. Management Science, 70, 1070-1092.
Kraus, A., Rehse, J.-R. and der Aa, H. (2024). Data-driven assessment of business process resilience. Process Science, 1, 1–32.
Pieper, M., Fallon, M. and Heinzl, A. (2024). Micro-randomized trials in information systems research: An experimental method for advancing knowledge about our dynamic and digitalized world. Journal of Information Technology : JIT.
Plattfaut, R., Rehse, J.-R., Jans, C., Schulte, M. and van Wendel de Joode, J. (2024). Robotic process automation – research impulses from the BPM 2023 panel discussion. Process Science, 1, 1–15.
Rehse, J.-R., Abb, L., Berg, G., Bormann, C., Kampik, T. and Warmuth, C. (2024). User behavior mining: A research agenda. Business & Information Systems Engineering : BISE, 66, 799–816.
Rehse, J.-R., Leemans, S. J. J., Fettke, P. and Van der Werf, J. M. E. A. (2024). On process discovery experimentation: addressing the need for research methodology in process discovery. ACM Transactions on Software Engineering and Methodology, 34, 1–29.
Rink, J., Szabo, K., Hoyer, C., Saver, J. L., Nour, M., Audebert, H. J., Kunz, W. G., Froelich, M. F., Heinzl, A., Tschalzev, A., Hoffmann, J., Schoenberg, S. O. and Tollens, F. (2024). Mobile stroke units services in Germany: A cost-effectiveness modeling perspective on catchment zones, operating modes, and staffing. European Journal of Neurology, 1–9.
Rink, J., Tollens, F., Tschalzev, A., Bartelt, C., Heinzl, A., Hoffmann, J., Schoenberg, S. O., Marzina, A., Sandikci, V., Wiegand, C., Hoyer, C. and Szabo, K. (2024). Establishing an MSU service in a medium-sized German urban area — clinical and economic considerations. Frontiers in Neurolgy, 15, 1–9.
Dumas, M., Fournier, F., Limonad, L., Marrella, A., Montali, M., Rehse, J.-R., Accorsi, R., Calvanese, D., De Giacomo, G., Fahland, D., Gal, A., La Rosa, M., Völzer, H. and Weber, I. (2023). AI-augmented business process management systems: a research manifesto. ACM Transactions on Management Information Systems, 14, 1–19.
Grebe, M., Franke, M. R. and Heinzl, A. (2023). Artificial intelligence: how leading companies define use cases, scale-up utilization, and realize value. Informatik-Spektrum, 46, 197–209.
Kude, T., Förderer, J., Mithas, S. and Heinzl, A. (2023). How deadline orientation and architectural modularity influence software quality and job satisfaction. Journal of Operations Management, 69, 941–964.
Oberste, L. and Heinzl, A. (2023). User-centric explainability in healthcare: A knowledge-level perspective of informed machine learning. IEEE Transactions on Artificial Intelligence, 4, 840–857.
Pethig, F. and Kroenung, J. (2023). Biased humans, (un)biased algorithms? Journal of Business Ethics, 183, 637–652.
Venkatesh, V., Thong, J. Y. L., Spohrer, K., Chan, F. K. Y., Arora, A., Höhle, H. and Venkatraman, S. (2023). Equality does not make you happy: efects of differentiated leader-member exchange and team-member exchange on developer satisfaction in agile development teams. MIS Quarterly, 47, 1239-1270.
Förderer, J. and Schütz, S. W. (2022). Data breach announcements and stock market reactions: A matter of timing? Management Science, 68, 7298-7322.
Höhle, H., Venkatesh, V., Brown, S. A., Tepper, B. J. and Kude, T. (2022). Impact of customer compensation strategies on outcomes and the mediating role of justice perceptions: a longitudinal study of target's data breach. MIS Quarterly, 46, 299–340.
Jussupow, E., Spohrer, K. and Heinzl, A. (2022). Identity threats as a reason for resistance to artificial intelligence: Survey study with medical students and professionals. JMIR Formative Research, 6, 1–15.
Jussupow, E., Spohrer, K. and Heinzl, A. (2022). Radiologists’ usage of diagnostic AI systems : The role of diagnostic self-efficacy for sensemaking from confirmation and disconfirmation. Business & Information Systems Engineering : BISE, 64, 293–309.
Rahal, R.-M., Hamann, H., Brohmer, H. and Pethig, F. (2022). Sharing the recipe: Reproducibility and replicability in research across disciplines. Research Ideas and Outcomes : RIO, 8, 1–20.

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Pieper, M., Rehse, J.-R. and Fallon, M. (2024). Digitally supported emotion regulation: A conceptualization based on trace data analysis of mHealth use. In , ICIS 2024 Proceedings (S. 1–17). International Conference on Information Systems : ICIS, AIS: Atlanta.
Sperling, H. (2024). The place to be? Investigating LGBTQ professionals' experiences in IT. In , (S. 1–9). European Conference on Information Systems (ECIS) : Research Papers, AISeL: Atlanta, GA.
Ding, W. and Höhle, H. (2023). AI-assisted diagnosis of bone tuberculosis: A design science research approach. In , ICIS 2023, Rising like a Phoenix: emerging from the pandemic and reshaping human endeavors with digital technologies : Hyderabad, India, 10–13 December 2023, proceedings (S. 1–9). , AISeL: Red Hook, NY.
Elsayed, N., Abb, L., Sander, H. and Rehse, J.-R. (2023). Automating computer software validation in regulated industries with robotic process automation. In , Business Process Management: Blockchain, Robotic Process Automation and Educators Forum : BPM 2023 Blockchain, RPA and Educators Forum, Utrecht, The Netherlands, September 11–15, 2023, Proceedings (S. 135–148). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u. a.].
Hoffmann, P., Shmagina, V., Halckenhäußer, A. and Lüker, N. (2023). The influence of user feedback on complementary innovation in platform ecosystems: NLP evidence on the value of multihoming. In , Proceedings of the 56th Annual Hawaii International Conference on System Sciences (S. 5994-6003). , University of Hawaii at Manoa: Honolulu, HI.
Oberste, L., Rüffer, F., Aydingül, O., Rink, J. and Heinzl, A. (2023). Designing user-centric explanations for medical imaging with informed machine learning. In , Design Science Research for a New Society: Society 5.0 : 18th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2023, Pretoria, South Africa, May 31 – June 2, 2023, Proceedings (S. 470–484). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
Rehse, J.-R., Pufahl, L., Grohs, M. and Klein, L.-M. (2023). Process mining meets visual analytics: the case of conformance checking. In , Proceedings of the 56th Annual Hawaii International Conference on System Sciences : January 3–6, 2023 (S. 5452-5461). , University of Hawaii at Manoa: Honolulu, HI.
Schilpp, J., Pethig, F. and Höhle, H. (2023). Analytics dashboards and user behavior: Evidence from GitHub. In , 2023 46th MIPRO ICT and Electronics Convention (MIPRO) : May 22-May 26, 2023, Opatija, Croatia : proceedings (S. 56–61). , IEEE: Opatija, Croatia.
Sola, D., Warmuth, C., Schäfer, B., Badakhshan, P., Rehse, J.-R. and Kampik, T. (2023). SAP Signavio Academic Models: A large process model dataset. In , Process Mining Workshops : ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers (S. 453–465). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u. a.].
Zercher, D., Jussupow, E. and Heinzl, A. (2023). When AI joins the team: A literature review on intragroup processes and their effect on team performance in team-AI collaboration. In , European Conference on Information Systems, ECIS 2023 : proceedings (S. 1–18). European Conference on Information Systems (ECIS) : Research Papers, AISeL: Atlanta, GA.
Abb, L., Bormann, C., der Aa, H. and Rehse, J.-R. (2022). Trace clustering for user behavior mining. In , Proceedings of the 30th European Conference on Information Systems (ECIS): Timișoara, Romania, June 18–24, 2022 (S. 1–17). European Conference on Information Systems (ECIS) : Research Papers, AISeL: Atlanta, GA.
Abb, L. and Rehse, J.-R. (2022). A reference data model for process-related user interaction logs. In , Business Process Management : 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, proceedings (S. 57–74). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
Agostinelli, S., Marrella, A., Abb, L. and Rehse, J.-R. (2022). Mastering robotic process automation with process mining. In , Business Process Management : 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, proceedings (S. 47–53). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
Elsayed, N. and Kassem, G. (2022). Assessing process suitability for robotic process automation: A process mining approach. In , Wirtschaftsinformatik 2022, Proceedings (S. 1–16). , AISeL: .
Halckenhäußer, A., Mann, F., Förderer, J. and Hoffmann, P. (2022). Comparing platform core features with third-party complements. machine-learning evidence from Apple iOS.. In , Proceedings of the 55th Annual Hawaii International Conference on System Sciences (HICSS 55) (S. 6679-6688). , HICSS: Honolulu, HI.
Holtzwart, R., Seeger, A.-M. and Heinzl, A. (2022). Beauty is in the eye of the controller: Designing avatars for the ideal or actual self. In , ICIS 2022 proceedings : digitization for the next generation, December 9–14, Copenhagen, Denmark, Article 10 (S. 1–9). , AISeL: Atlanta, GA.
Kunz, P. C., Jussupow, E., Spohrer, K. and Heinzl, A. (2022). How the application of machine learning systems changes business processes: A multiple case study. In , Proceedings of the 30th European Conference on Information Systems (ECIS): Timișoara, Romania, June 18–24, 2022 (S. 1–11). ECIS Research-in-Progress Papers, AISeL: Atlanta, GA.
Oberste, L., Finze, N., Hoffmann, P. and Heinzl, A. (2022). Supporting the billing process in outpatient medical care: Automated medical coding through machine learning. In , Proceedings of the 30th European Conference on Information Systems (ECIS): Timișoara, Romania, June 18–24, 2022 (S. 1–18). European Conference on Information Systems (ECIS) : Research Papers, AISeL: Atlanta, GA.
Rebmann, A., Rehse, J.-R. and der Aa, H. (2022). Uncovering object-centric data in classical event logs for the automated transformation from XES to OCEL. In , Business Process Management : 20th International Conference, BPM 2022, Münster, Germany, September 11–16, 2022, proceedings (S. 379–396). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
Röck, T., Hoffmann, P., Spohrer, K., Schimmer, T. and Heinzl, A. (2022). Assessing the impact of empirical process control metrics in agile software development – A framework based on improvement capability. In , Proceedings of the 30th European Conference on Information Systems (ECIS): Timișoara, Romania, June 18–24, 2022 (S. 1–15). Conference of the European Colloid and Interface Society (ECIS) : Research Papers, AISeL: Atlanta, GA.
Zercher, D. and Bärenz, P. (2022). Digitalisierung der psychologischen Diagnosesicherung im Bereich der DGUV: Entwicklung und Evaluation eines Diagnosealgorithmus. In , 22. Workshop Psychologie der Arbeitssicherheit und Gesundheit : Transfer von Sicherheit und Gesundheit (S. 189–192). , Asanger Verlag: Kröning.

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Mateja, D. and Heinzl, A. (2022). Computergestützte Kreativität. In Handbuch Digitalisierung (S. 229–250). München: Vahlen.