Area Information Systems
Die Area Information Systems ist Teil der Fakultät für Betriebswirtschaftslehre und besteht aus den Lehrstühlen der Professoren Jens Förderer, Armin Heinzl, Hartmut Höhle, Markus Strohmaier und Juniorprofessorin Jana Rebecca-Rehse.
Auf dieser Seite finden Sie Links zu den Webseiten der einzelnen Lehrstühle sowie Neuigkeiten und aktuelle Publikationen aus der Area Information Systems. Einen Überblick über das breite Kursangebot, Kontaktinformationen für das wissenschaftliche Personal und Einblicke in aktuelle Forschungsprojekte erhalten Sie auf den Webseiten der einzelnen Lehrstühle.
Publikationen
- Grohs, M., Pfeiffer, P. und 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. und Lanz, A. (2025). Behavior toward newcomers and contributions to online communities. MIS Quarterly (forthcoming).
- Pieper, M. und 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. und 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. und Pethig, F. (2024). Informationen zur Universitätsbibliographie MADOC (Mannheim Electronic Document Server). MIS Quarterly (forthcoming).
- Dietz, J., Spohrer, K. und 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. und Burtch, G. (2024). Estimating career benefits from online community leadership: Evidence from stack exchange moderators. Management Science, 1–24.
- Jussupow, E., Benbasat, I. und Heinzl, A. (2024). An integrative perspective on algorithm aversion and appreciation in decision-making. Management Information Systems : MIS Quarterly, 48, 1575-1590.
- Kircher, T. und 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. und der Aa, H. (2024). Data-driven assessment of business process resilience. Process Science, 1, 1–32.
- Pieper, M., Fallon, M. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und Heinzl, A. (2023). How deadline orientation and architectural modularity influence software quality and job satisfaction. Journal of Operations Management, 69, 941–964.
- Oberste, L. und 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. und 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. und 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. und 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. und 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. und 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. und 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.
- Lindenmayr, M. und Foerderer, J. (2022). Qualitätssicherung in Digitalen Plattform-Ökosystemen: Implementierung von Kontrollsystemen am Beispiel von Apple iOS. HMD : Praxis der Wirtschaftsinformatik, 59, 1312-1322.
- Rahal, R.-M., Hamann, H., Brohmer, H. und Pethig, F. (2022). Sharing the recipe: Reproducibility and replicability in research across disciplines. Research Ideas and Outcomes : RIO, 8, 1–20.
- Pieper, M., Rehse, J.-R. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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. und 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.
- Förderer, J. (2022). Erfolgsmodell Digitale Plattformen : Geschäftsmodelle – Netzwerkeffekte – Community-Management. Stuttgart: Schäffer-Poeschel Verlag.
- Lindenmayr, M. und Förderer, J. (2024). Digitale B2B-Plattformökosysteme für produzierende Unternehmen : Anwendungsbereiche und Beispiele entlang der Wertschöpfungskette. In Digitale Plattformen und Ökosysteme im B2B-Bereich : Fallstudien, Ansätze, Technologien und Tools (S. 161–182). Wiesbaden, Deutschland: Springer Fachmedien Wiesbaden.
- Förderer, J. (2023). Praxistipps für KMU und Start-ups im Umgang mit den BigTech-Plattformen. In Digitale Souveränität für Europa : Herausforderung und Zielsetzung (S. 81–88). Freiburg: Haufe Group.
- Förderer, J., Heinzl, A. und Kude, T. (2022). Plattformökosysteme. In Handbuch Digitalisierung (S. 137–160). München: Vahlen.
- Mateja, D. und Heinzl, A. (2022). Computergestützte Kreativität. In Handbuch Digitalisierung (S. 229–250). München: Vahlen.