Publikationen und Projekte

Kostic, M., Witschel, H. F., Hinkelmann, K., & Spahic, M. (2024). LLMs in automated essay evaluation: a case study. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI Symposium Series (Vol. 3, Issue 1, pp. 143–147). AAAI Press. https://doi.org/10.1609/aaaiss.v3i1.31193

Fluri, J., Fornari, F., & Pustulka, E. (2024). On the importance of CI/CD practices for database applications. Journal of Software: Evolution and Process, 36(12), e2720. https://doi.org/10.1002/smr.2720

Elmer, T., Vannoy, T. K., Studerus, E., & Lyubomirsky, S. (2024). Subjective long-term emotional and social effects of recreational MDMA use: the role of setting and intentions. Scientific Reports, 14, 3434. https://doi.org/10.1038/s41598-024-51355-6

Bendel, O., & Jabou, D. (2024). @llegra: a chatbot for Vallader. International Journal of Information Technology, 16(4), 2035–2045. https://doi.org/10.1007/s41870-024-01779-0

Buchmann, R., Eder, J., Fill, H.-G., Frank, U., Karagiannis, D., Laurenzi, E., Mylopoulos, J., Plexousakis, D., & Santos, M. Y. (2024). Large language models: Expectations for semantics-driven systems engineering. Data & Knowledge Engineering, 152, 102324. https://doi.org/10.1016/j.datak.2024.102324

Khodoomi, M. R., Seif, M., & Hanne, T. (2024). Effects and challenges of the COVID-19 pandemic in supply chain management: a text analytics approach. Supply Chain Forum, 25(4), 486–503. https://doi.org/10.1080/16258312.2023.2253523

Wong, K., Dornberger, R., & Hanne, T. (2024). An analysis of weight initialization methods in connection with different activation functions for feedforward neural networks. Evolutionary Intelligence, 17, 2081–2089. https://doi.org/10.1007/s12065-022-00795-y

Kühne, K., Herbold, E., Bendel, O., Zhou, Y., & Fischer, M. H. (2024). “Ick bin een Berlina”: dialect proficiency impacts a robot’s trustworthiness and competence evaluation. Frontiers in Robotics and AI, 10, 1241519. https://doi.org/10.3389/frobt.2023.1241519

Laurenzi, E., Mathys, A., & Martin, A. (2024). An LLM-aided Enterprise Knowledge Graph (EKG) engineering process. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI 2024 Spring Symposium Series: Vol. 3(1) (pp. 148–156). Stanford University. https://doi.org/10.1609/aaaiss.v3i1.31194

Beutling, N., & Spahic, M. (2024). Personalised course recommender: Linking learning objectives and career goals through competencies. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI 2024 Spring Symposium Series: Vol. 3(1) (pp. 72–81). Stanford University. https://doi.org/10.1609/aaaiss.v3i1.31185

Jüngling, S., Kierans, G., Easa, S., & Wörner, D. (2024). Rethinking cars for sustainable mobility – Shared-autonomous vehicles and circularity. In H. Smuts & K. Hinkelmann (Eds.), Proceedings of the 2024 Conference Society 5.0 - Innovation for Sustainable and Inclusive Social Good (Vol. 2, pp. 90–105). Zenodo. https://doi.org/10.5281/zenodo.11617425

Beuchat, G., Hinkelmann, K., & Spahic, M. (2024). Ontology-based course recommendation. In H. Smuts & K. Hinkelmann (Eds.), Proceedings of the 2024 Conference Society 5.0 - Innovation for Sustainable and Inclusive Social Good (Vol. 2, pp. 23–35). Zenodo. https://doi.org/10.5281/zenodo.11619278

Laurenzi, E., Allan, J., Campos Macias-Hammel, N., & Stoller, S. (2024). An ontology-based meta-modelling approach for semantic-driven building management systems. In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), Advanced information systems engineering workshops (pp. 200–211). Springer. https://doi.org/10.1007/978-3-031-61003-5_18

Meyer, L., & Dannecker, A. (2024). Smart tools, smarter students. A study on ChatGPT’s effects on learning outcomes and exercise quality in business education. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), INTED2024 Proceedings (pp. 2704–2713). IATED. https://doi.org/10.21125/inted.2024.0743

Martin, A., Pande, C., Schwander, S., Ajuwon, A. J., & Pimmer, C. (2024). Domain-specific embeddings for question-answering systems. FAQs for health coaching. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI 2024 Spring Symposium Series (Vol. 3, pp. 175–179). Stanford University. https://doi.org/10.1609/aaaiss.v3i1.31197

Ehrenthal, J., Gachnang, P., Loran, L., Rahms, H., & Schenker, F. (2024). Integrating generative artificial intelligence into supply chain management education using the SCOR model. In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), CAiSE 2024 International Workshops (pp. 59–71). Springer. https://doi.org/10.1007/978-3-031-61003-5_6

Hinkelmann, K., Afonina, V., & Montecchiari, D. (2024). Visualizing argumentation for research problem and research design. In M. Mandviwalla, M. Söllner, & T. Tuunanen (Eds.), Design science research for a resilient future (pp. 168–181). Springer. https://doi.org/10.1007/978-3-031-61175-9_12

Hinkelmann, K., Afonina, V., & Montecchiari, D. (2024). Enhancing research clarity. Ontology-based modeling of argumentation in RPML. In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), Advanced information systems engineering workshops (pp. 85–96). Springer. https://doi.org/10.1007/978-3-031-61003-5_8

Düggelin, W., & Laurenzi, E. (2024). A knowledge graph-based decision support system for resilient supply chain networks. In J. Araújo, J. L. de la Vara, M. Y. Santos, & S. Assar (Eds.), Research challenges in information science (Vol. 1, pp. 66–81). Springer. https://doi.org/10.1007/978-3-031-59465-6_5

Mäder, D., Spahic, M., & Witschel, H. F. (2024). Student performance prediction model based on course description and student similarity. In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), Advanced information systems engineering workshops (pp. 97–108). Springer. https://doi.org/10.1007/978-3-031-61003-5_9

Dannecker, A. (2024). Automation of Kahoot! by the humanoid robot Pepper – the way Pepper can answer rudely. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), INTED2024 Proceedings (pp. 3417–3425). International Academy of Technology, Education and Development (IATED). https://doi.org/10.21125/inted.2024.0908

Dannecker, A., & Meyer, L. (2024). Relevance of artificial inrelevance of artificial intelligence components in workflow-based student projects. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), INTED2024 Proceedings (pp. 3442–3450). International Academy of Technology, Education and Development (IATED). https://doi.org/10.21125/inted.2024.0912

Scherb, C., Hadayah, A., Heitz, L., Grieder, H., & Asprion, P. (2024). CyMed: A framework for testing connected medical devices. In K. Hinkelmann & H. Smuts (Eds.), Society 5.0. 4th International Conference, Society 5.0 2024, Moka, Mauritius, June 26–28, 2024, Revised Selected Papers (pp. 293–304). Springer. https://doi.org/10.1007/978-3-031-71412-2_22

Jäger, J., Richter, S.-L., & Spasova, T. (2024). Using AI assistants in higher education: The role of critical thinking. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), EDULEARN24 Proceedings (pp. 656–665). International Academy of Technology, Education and Development (IATED). https://doi.org/10.21125/edulearn.2024.0237

Meyer, L., & Dannecker, A. (2024). Comparative analysis of generative AI models in educational exercise performance. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), EDULEARN24 Proceedings (pp. 5181–5190). International Academy of Technology, Education and Development (IATED). https://doi.org/10.21125/edulearn.2024.1273

Dannecker, A., & Meyer, L. (2024). Quality and students’ perception of feedback generated by GPT-4 on a complex group task. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), EDULEARN24 Proceedings (pp. 7127–7136). International Academy of Technology, Education and Development (IATED). https://doi.org/10.21125/edulearn.2024.1686

Schneider, B., Ebai, F., Bächli, A., Elsasser, R., Peier, S., & Stanic, S. (2024). Quantum computing as uprising topic for business students in higher educational institutions. Proceedings from Future Education Conference 2024. Future Education Conference 2024 - Empowering Learners for Tomorrow. https://irf.fhnw.ch/handle/11654/48318

Gatziu Grivas, S., Hanne, T., Imhof, D., Bugmann, D., & Schmitter, P. (2024). An intelligent platform-based tool for the development of digital transformation strategies. Procedia Computer Science, 237, 344–353. https://doi.org/10.1016/j.procs.2024.05.114

Martin, A., Witschel, H. F., Mandl, M., & Stockhecke, M. (2024). Semantic verification in large language model-based retrieval augmented generation. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI Symposium Series (Vol. 3, Issue 1, pp. 188–192). AAAI Press. https://doi.org/10.1609/aaaiss.v3i1.31199

Kaufmann, C., Schmiedel, T., & Christen, P. (2024). Using generative artificial intelligence in university teaching. In A. Abraham, A. Bajaj, T. Hanne, & T.-P. Hong (Eds.), Intelligent Systems Design and Applications (Vol. 2, pp. 360–370). Springer. https://doi.org/10.1007/978-3-031-64836-6_35

Martin, A., Pande, C., Witschel, H. F., & Mathez, J. (2024). ChEdBot: designing a domain-specific conversational agent in a simulational learning environment using LLMs. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI Symposium Series (Vol. 3, Issue 1, pp. 180–187). AAAI Press. https://doi.org/10.1609/aaaiss.v3i1.31198

Rosenberg, M., Schneider, B., Scherb, C., & Asprion, P. (2024). EDO4SIEM – a procedure model for the implementation of security information and event management systems in organisations. International Journal on Computers Science and Information Systems, 19(1), 31–47. https://irf.fhnw.ch/handle/11654/48312

Resch, D., & Richter, S.-L. (2023). Führung im Zeitalter der künstlichen Intelligenz – Untersuchung der Einflüsse und Auswirkungen in international tätigen Versicherungsunternehmen. In R. Dornberger (ed.), Neue Trends in Wirtschaftsinformatik und eingesetzte Technologien. Digitale Innovation und digitale Transformation (pp. 333–347). Springer Vieweg. https://doi.org/10.1007/978-3-031-32538-0_21

Badakshan, P., Scholta, H., Schmiedel, T., & Brocke, J. v. (2023). A measurement instrument for the “ten principles of good BPM”. Business Process Management Journal, 29(6), 1762–1790. https://doi.org/10.1108/BPMJ-08-2021-0549

Schmiedel, T., Zhong, J., & Eyssel, F. (2023). Towards a wave approach for value sensitive design in social robotics. HRI ’23 Companion. Companion of the ACM/IEEE International Conference on Human-Robot Interaction, 592–596. https://doi.org/10.1145/3568294.3580154

Chester, L. A., Valmaggia, L., Kempton, M., Chesney, E., Oliver, D., Hedges, E., Klatsa, E., Stahl, D., van der Gaag, M., de Haan, L., Nelson, B., McGorry, P., Amminger, G. P., Riecher-Rössler, A., Studerus, E., Bressan, R., Barrantes-Vidal, N., Krebs, M.-O., Glenthøj, B., et al. (2023). Influence of cannabis use on incidence of psychosis in people at clinical high risk. Psychiatry and Clinical Neurosciences, 77(9), 469–477. https://doi.org/10.1111/pcn.13555

Wanke, P. F., Yazdi, A. K., Hanne, T., & Tan, Y. (2023). Unveiling drivers of sustainability in Chinese transport: an approach based on principal component analysis and neural networks. Transportation Planning and Technology, 46(5), 573–598. https://doi.org/10.1080/03081060.2023.2198517

Asprion, P., Gossner, P., & Schneider, B. (2023). Cybersecurity governance – An adapted practical framework for small enterprises. In T. X. Bui (Ed.), Proceedings of the 56th Hawaii International Conference on System Sciences (pp. 5928–5937). https://doi.org/10.26041/fhnw-7345

Martin, A. (2023). AAAI-MAKE 2023: Challenges requiring the combination of machine learning and knowledge engineering. AI Magazine, 44(2), 204–205. https://doi.org/10.1002/aaai.12094

Eichele, S., Hinkelmann, K., & Spahic, M. (2023). Ontology-driven enhancement of process mining with domain knowledge. In A. Martin, H.-G. Fill, A. Gerber, K. Hinkelmann, D. Lenat, R. Stolle, & F. v. Harmelen (Eds.), Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-7371

Telesko, R., Spahic, M., Hinkelmann, K., & Pande, C. (2023). A new approach for teaching programming: model-based agile programming (MBAD). ICIEI 2023. Proceedings of 2023 the 8th International Conference on Information and Education Innovations, 13–18. https://doi.org/10.1145/3594441.3594445

Dannecker, A., & Hertig, D. (2023). Automation of Kahoot! by the humanoid robot Pepper – Comparing results from classes – Robot vs. lecturers. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), INTED2023 Proceedings (pp. 4361–4368). https://doi.org/10.21125/inted.2023.1154

Scherb, C., Heitz, L., Grimberg, F., Grieder, H., & Maurer, M. (2023). A cyber attack simulation for teaching cybersecurity. In A. Gerber & K. Hinkelmann (Eds.), Proceedings of Society 5.0 Conference 2023 (pp. 129–140). https://doi.org/10.29007/dkdw

Jäger, J., Eisemann, C., & Pimmer, C. (2023). The role of gamification in the development of (fake) news literacy in higher education. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), EDULEARN23. Proceedings (pp. 7800–7807). IATED. https://doi.org/10.21125/edulearn.2023.2028

Heimann, S., Imhof, D., & Gatziu Grivas, S. (2023). Towards a leadership model focusing on mistake making culture enhanced by collective intelligence. Proceedings of the 23th European Academy of Management EURAM Conference. European Academy of Management EURAM 2023 Conference. https://irf.fhnw.ch/handle/11654/43445

Sarfaraz, A. H., Yazdi, A. K., Hanne, T., & Hosseini, R. S. (2023). Decision support for technology transfer using fuzzy quality function deployment and a fuzzy inference system. Journal of Intelligent & Fuzzy Systems, 44(5), 7995–8014. https://doi.org/10.3233/jifs-222232

Bettega, K., Düggelin, W., Ehrenthal, J., & Ulrich, P. (2023). Innovating the digital product development toolchain with digital twins at Helbling Technik AG. Journal of Information Technology Teaching Cases. https://doi.org/10.1177/20438869231182450

Pustulka, E., & Spadola, A. (2023). Learning Java Loops and Control Structures by Moving a Ladybird. GSGS′23. 8th International Conference on Gamification & Serious Games, 70–73. https://irf.fhnw.ch/handle/11654/43467

Christen, P. (2023). System Metamodelling of Open-Ended Evolution Implemented with Self-Modifying Code. Complex Systems, 32(4), 353–380. https://doi.org/10.25088/ComplexSystems.32.4.353

Alcantara, T. H. M., Krütli, D., Ravada, R., & Hanne, T. (2023). Multilingual text summarization for German texts using transformer models. Information, 14(6), 303. https://doi.org/10.3390/info14060303

Schiesser, L., Witschel, H. F., & de la Harpe, A. (2023). Uncovering cross-platform spreading patterns of fake news about COVID-19. In K. Hinkelmann & A. Gerber (Eds.), Proceedings of Society 5.0 Conference 2023. https://doi.org/10.26041/fhnw-10992

Gachnang, P., Ehrenthal, J., Telesko, R., & Hanne, T. (2023). Determination of weights for multiobjective combinatorial optimization in incident management with an evolutionary algorithm. IEEE Access, 11, 138502–138514. https://doi.org/10.1109/ACCESS.2023.3339128

Fluri, J., Fornari, F., & Pustulka, E. (2023). Measuring the benefits of CI/CD practices for database application development. 2023 IEEE/ACM International Conference on Software and System Processes. ICSSP. Melbourne, Australia, 14-15 May 2023. Proceedings, 46–57. https://doi.org/10.1109/ICSSP59042.2023.00015

Schneider, B., & Asprion, P. (2023). Peer instruction as teaching method in cybersecurity and data privacy. International Journal of Management, Knowledge and Learning, 12, 1–7. https://doi.org/10.53615/2232-5697.12.1-7

Moriggl, P., Asprion, P., Schneider, B., & Scherb, C. (2023). Touching space: distributed ledger technology for tracking and tracing certificates. In T. X. Bui (Ed.), Proceedings of the 56th Hawaii International Conference on System Sciences (pp. 4306–4315). https://doi.org/10.26041/fhnw-7306

Dannecker, A., & Hanke, U. (2023). Students struggle in coming back to face-2-face teaching in evidence based good teaching settings. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), INTED2023 Proceedings (pp. 4323–4329). IATED. https://doi.org/10.21125/inted.2023.1146

Gebhart, J., Schlick, S., & Marvell, A. (2023). Analysing barriers in the business ecosystem of European MaaS providers: an actor-network approach. In A. Gerber & K. Hinkelmann (Eds.), Proceedings of Society 5.0 Conference 2023 (pp. 68–81). https://doi.org/10.29007/7fm9

Asprion, P., Giovanoli, C., Scherb, C., & Bhat, S. (2023). Agile management in cybersecurity. In A. Gerber & K. Hinkelmann (Eds.), Proceedings of Society 5.0 Conference 2023 (pp. 21–32). https://doi.org/10.29007/9fg8

Pande, C., Martin, A., & Pimmer, C. (2023). Towards hybrid dialog management strategies for a health coach chatbot. Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023). AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering. https://doi.org/10.26041/fhnw-7453

Dannecker, A. (2023). Business students invest their time in complex and challenging process digitalization tasks instead of preparing for the exam. In E. a. D. (. International Academy of Technology (Ed.), EDULEARN23 Proceedings (pp. 8461–8467). International Academy of Technology, Education and Development (IATED). https://doi.org/10.21125/edulearn.2023.2219

Ajripour, I., & Hanne, T. (2023). Using the fuzzy best worst method for evaluating strategic planning models. Processes, 11(4), 1284. https://doi.org/10.3390/pr11041284

Li, X., Curiger, M., Dornberger, R., & Hanne, T. (2023). Optimized Computational Diabetes Prediction with Feature Selection Algorithms. 2023 - 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence. ISMSI, International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence. https://irf.fhnw.ch/handle/11654/48186

Jäger, J., Korkut, S., Inglese, T., & Schmiedel, T. (2023). Introducing case study audio podcasts in business and information systems studies. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), EDULEARN23. Conference proceedings. 15th International Conference on Education and New Learning Technologies, Palma (Spain), 3rd-5th of July, 2023 (pp. 4097–4105). https://doi.org/10.21125/edulearn.2023.1098

Sahebi, H., Khodoomi, M. R., Seif, M., Pishvaee, M., & Hanne, T. (2023). The benefits of peer-to-peer renewable energy trading and battery storage backup for local grid. Journal of Energy Storage, 63, 106970. https://doi.org/10.1016/j.est.2023.106970

Schneider, B., Asprion, P., Misyura, I., Jonkers, N., & Zaugg, E. (2023). Persona-oriented data protection impact assessment for small businesses. Proceedings of Society 5.0 Conference 2023, 152–163. https://doi.org/10.29007/5lfs

Le Cunff, E., & Schlick, S. (2023). A system of customer co-creation for new product development of digital products with a pilot study of the Swiss media industry. In A. Gerber & K. Hinkelmann (Eds.), Proceedings of Society 5.0 Conference 2023. https://doi.org/10.29007/p7mp

Espona, L., Vichalkovski, A., Steingartner, W., & Pustulka, E. (2023). Automatic indexing for MongoDB. In A. Abelló, P. Vassiliadis, O. Romero, R. Wrembel, F. Bugiotti, J. Gamper, G. Vargas Solar, & E. Zumpano (Eds.), New trends in database and information systems. ADBIS 2023 short Papers, doctoral consortium and workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, roceedings (pp. 535–543). Springer. https://doi.org/10.1007/978-3-031-42941-5_46

Duhan, R., Pande, C., & Martin, A. (2023). A flexible, extendable and adaptable model to support AI coaching. In K. Hinkelmann, F. J. López-Pellicer, & A. Polini (Eds.), Perspectives in business informatics research (pp. 172–187). Springer. https://doi.org/10.1007/978-3-031-43126-5_13

Wolter, J., & Hanne, T. (2023). Prediction of service time for home delivery services using machine learning. Soft Computing, 28, 5045–5056. https://doi.org/10.1007/s00500-023-09220-7

Bendel, O., Puljic, A., Heiz, R., Tömen, F., & De Paola, I. (2023). Increasing well-being through robotic hugs. In T. Kido & K. Takadama (Eds.), Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023) (pp. 63–72). https://doi.org/10.26041/fhnw-7470

Yazdi, A. K., Muneeb, F. M., Wanke, P. F., Hanne, T., & Ali, A. (2023). How, when, & where temporary hospitals fit in turbulent times: a hybrid MADM optimization in the middle east. Computers & Industrial Engineering, 175, 108761. https://doi.org/10.1016/j.cie.2022.108761

Dannecker, A. (2023). Business atudents invest their time in complex and challenging process digitalization tasks instead of preparing for the exam. EDULEARN23. Conference Proceedings, 8461–8467. https://doi.org/10.21125/edulearn.2023.2219

Asprion, P., Grieder, H., & Grimberg, F. (2023). Building digital trust to protect whistleblowers - A blockchain-based reporting channel. Proceedings of the 56th Hawaii International Conference on System Sciences, 4328–4337. https://doi.org/10.26041/fhnw-7360

Rordorf, D. H.-P., Käser, J., Crego Corot, A. E., & Laurenzi, E. (2023). A hybrid intelligent approach combining machine learning and a knowledge graph to support academic journal publishers addressing the Reviewer Assignment Problem (RAP). In A. Martin, H.-G. Fill, A. Gerber, K. Hinkelmann, D. Lenat, R. Stolle, & F. Harmelen (Eds.), Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023) (pp. 1–19). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-11149

Schmid, C., Laurenzi, E., Michelucci, U., & Venturini, F. (2023). Explainable AI for the olive oil industry. In K. Hinkelmann, F. J. López-Pellicer, & A. Polini (Eds.), Proceedings of the 22nd International Conference on Business Informatics Research, BIR 2023 (pp. 158–171). Springer. https://doi.org/10.1007/978-3-031-43126-5_12

Mancuso, M. C., & Laurenzi, E. (2023). An approach for knowledge graphs-based user stories in agile methodologies. In K. Hinkelmann, F. J. López-Pellicer, & A. Polini (Eds.), Perspectives in Business Informatics Research. BIR 2023 (pp. 133–141). Springer. https://doi.org/10.1007/978-3-031-43126-5_10

Fedeli, A., Beutling, N., Laurenzi, E., & Polini, A. (2023). Comparison of general-purpose and domain-specific modeling languages in the IoT domain: A case study from the OMiLAB community. In A. Morichetta, R. A. Buchmann, K. Sandkuhl, U. Seigerroth, M. Kirikova, C. Møller, P. Forbrig, A. Gutschmidt, A.-M. Ghiran, A. Marcelletti, F. Härer, B. Re, & B. Johansson (Eds.), Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023) (pp. 145–157). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-11146

Laurenzi, E. (2023). A methodological approach for ontology-based meta-modelling. In A. Morichetta, R. A. Buchmann, K. Sandkuhl, U. Seigerroth, M. Kirikova, C. Møller, P. Forbrig, A. Gutschmidt, A.-M. Ghiran, A. Marcelletti, F. Härer, B. Re, & B. Johansson (Eds.), Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023) (pp. 55–64). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-11145

Afonina, V., Hinkelmann, K., & Montecchiari, D. (2023). Enriching enterprise architecture models with healthcare domain knowledge. Advanced Information Systems Engineering Workshops. CAiSE 2023 International Workshops, 17–28. https://doi.org/10.1007/978-3-031-34985-0_2

Baumann, F., Hinkelmann, K., & Montecchiari, D. (2023). Supporting reuse of business process models by semantic annotation. Advanced Information Systems Engineering Workshops. CAiSE 2023 International Workshops, 29–35. https://doi.org/10.1007/978-3-031-34985-0_3

Heiniger, N., Massaro, G., Hanne, T., & Dornberger, R. (2023). Solving the nurse scheduling problem in crisis situations applying a genetic algorithm. 2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI 2023), 65–71. https://doi.org/10.1109/ISCMI59957.2023.10458617

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Kierans, G., Jüngling, S., & Schütz, D. (2023). A first step towards a “smart city brain” for sustainable development - turning experiences of two cities into replicable processes. In A. Gerber & K. Hinkelmann (Eds.), Proceedings of Society 5.0 Conference 2023 (pp. 82–96). https://doi.org/10.29007/zrbr

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