Grum, M. and Gronau, N. (2024). The Meaningfulness of Knowledge for the Design of Sustainable AI. International Journal of Knowledge Management (IJKM), vol. 20, no. 1, pp. 1-45. https://doi.org/10.4018/IJKM.350409

Grum, M. and Gronau, N. (2024). The impact of knowledge characteristics on process performance: experimenting with the conversion perspective on knowledge transfer velocity. Business Process Management Journal (BPMJ), vol. 30 no. 4, pp. 1088-1110. https://doi.org/10.1108/BPMJ-10-2023-0853

Roling, W. M., Grum, M., Gronau, N., & Kluge, A. (2024). The roots of errors in adaptive performance: clustering behavioral patterns after the introduction of a change. Journal of Workplace Learning, vol. 36, no. (4), pp. 267-281. https://doi.org/10.1108/JWL-10-2023-0168

Grum, M. (2024). Researching Multi-Site Artificial Neural Networks’ Activation Rates and Activation Cycles. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2024. Lecture Notes in Business Information Processing, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-031-64073-5_12

Grum, M. (2024). Managing Multi-site Artificial Neural Networks’ Activation Rates and Activation Cycles. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2024. Lecture Notes in Business Information Processing, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-031-64073-5_17

Marcus Grum, Nicolas Korjahn. (2023). Artificial Intelligence in ERP Systems. Industry 4.0 Science, vol. 39, no. 1, pp.100-105. https://doi.org/10.30844/I4SE.23.1.100

Grum, M. (2023). Learning Representations by Crystallized Back-Propagating Errors. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2023. Lecture Notes in Computer Science(), vol 14125. Springer, Cham. https://doi.org/10.1007/978-3-031-42505-9_8

Grum, M., Thim, C., Roling, W.M., Schueffler, A., Kluge, A., Gronau, N. (2023). AI Case-Based Reasoning for Artificial Neural Networks. In: Masrour, T., El Hassani, I., Barka, N. (eds) Artificial Intelligence and Industrial Applications. A2IA 2023. Lecture Notes in Networks and Systems, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-031-43524-9_2

Thim, C., Gronau, N., Haase, J., Grum, M., Schüffler, A., Roling, W., & Kluge, A. (2023). Modeling Change in Business Processes. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2023. Lecture Notes in Business Information Processing, vol 483. Springer, Cham. https://doi.org/10.1007/978-3-031-36757-1_1

Rojahn, M., Ambros, M., Biru, T., Krallmann, H., Gronau, N., Grum, M. (2023). Adequate Basis for the Data-Driven and Machine-Learning-Based Identification. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2023. Lecture Notes in Computer Science, vol. 14125. Springer, Cham. https://doi.org/10.1007/978-3-031-42505-9_48

Roling, W. M., Schüffler, A. S., Thim, C., Grum, M., Gronau, N., & Kluge, A. (2023). Human behavior in the context of continuous change-an exploratory analysis in a research and application center industry 4.0. Proceedings of the 56th Hawaii International Conference on System Sciences (HICS23). https://hdl.handle.net/10125/103221

Klippert, M., Stolpmann, R., Grum, M., Thim, C., Gronau, N., & Albers, A. (2023). Knowledge Transfer Quality Improvement -The Quality Enhancement of Knowledge Transfers in Product Engineering. Procedia CIRP, vol. 119, 919-925. https://doi.org/10.1016/j.procir.2023.02.171

Grum M. (2022). Construction of a Concept of Neuronal Modeling. Springer Gabler Wiesbaden, pp. 1-848. https://doi.org/10.1007/978-3-658-35999-7

Grum, M. (2022). Context-Aware, Intelligent Musical Instruments for Improving Knowledge-Intensive Business Processes. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2022. Lecture Notes in Business Information Processing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-11510-3_5

Grum, M., Thim, C., Gronau, N. (2022). Aiming for Knowledge-Transfer-Optimizing Intelligent Cyber-Physical Systems. In: Andersen, AL., et al. Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. CARV MCPC 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90700-6_16

Thim, C., Grum, M., Schüffler, A., Roling, W., Kluge, A., Gronau, N. (2022). A Concept for a Distributed Interchangeable Knowledge Base in CPPS. In: Andersen, AL., et al. Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. CARV MCPC 2021 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90700-6_35

Grum, M., Korjahn, N. (2022). Künstliche Intelligenz in ERP-Systemen: Entwicklungspotenziale und Benchmarking. ERP Management, vol. 18, pp. 56–61. https://doi.org/10.30844/ERP_22-4_56-61

Grum, M., Klippert, M., Albers, A., Gronau, N., & Thim, C. (2021). Examining The Quality of Knowledge Transfers - The Draft of an Empirical Research. Proceedings of the Design Society, 1, 1431–1440. https://doi.org/10.1017/pds.2021.404

Grum, M., Kotarski, D., Ambros, M., Biru, T., Krallmann, H., Gronau, N. (2021). Managing Knowledge of Intelligent Systems. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2021. Lecture Notes in Business Information Processing, vol. 422. Springer, Cham. https://doi.org/10.1007/978-3-030-79976-2_5

Grum, M., Gronau, N. (2021). Quantification of Knowledge Transfers. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2021. Lecture Notes in Business Information Processing, vol. 422. Springer, Cham. https://doi.org/10.1007/978-3-030-79976-2_13

Bender, B. and Grum, M. (2021) Gamification and Dynamisation of the Continous Improvement Processes: Design and Realization of a Gamification Platform for Continous Improvement. 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa, pp. 1-7. https://doi.org/10.1109/ICECET52533.2021.9698530

Grum, M., Hiessl, W., Maresch, K., & Gronau, N. (2020). Design of a Neuronal Training Modeling Language: Exemplified with the AI-Based Dynamic GUI Adaption. AIS Transactions on Enterprise Systems (AIS TES), vol. 5, no. 1, pp. 1-16. https://doi.org/10.30844/aistes.v5i1.20

Ploner, T., Heß, S., Grum, M., Drewe-Boss, P., & Walker, J. (2020). Using gradient boosting with stability selection on health insurance claims data to identify disease trajectories in chronic obstructive pulmonary disease. Statistical Methods in Medical Research (SMMR), vol. 29, no. 12, pp. 3684-3694. https://doi.org/10.1177/0962280220938088

Grum, M., Gronau, N. (2020). Adaptable Knowledge-Driven Information Systems Improving Knowledge Transfers. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2020. Lecture Notes in Business Information Processing, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-030-52306-0_13

Grum, M. (2020). Managing Human and Artificial Knowledge Bearers. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2020. Lecture Notes in Business Information Processing, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-030-52306-0_12

Grum, M., Bender, B., Gronau, N., & Alfa, A. S. (2020). Efficient Task Realizations in Networked Production Infrastructures. In Proceedings of the Conference on Production Systems and Logistics: CPSL 2020. Hannover: publish-Ing. https://doi.org/10.15488/9682

Grum, M., Sultanow, E., Friedmann, D., Ullrich, A., & Gronau, N. (2020). Tools des Maschinellen Lernens. GITO Verlag. https://doi.org/10.30844/grum_2020

B. Bender, M. Grum, N. Gronau, A. Alfa and B. T. Maharaj (2019). Design of a Worldwide Simulation System for Distributed Cyber-Physical Production Networks. IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Valbonne Sophia-Antipolis, France, 2019, pp. 1-7. https://doi.org/10.1109/ICE.2019.8792609

Grum, M., Rapp, S., Gronau, N., Albers, A. (2019). Accelerating Knowledge. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2019. Lecture Notes in Business Information Processing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-030-24854-3_7

Gronau, N., & Grum, M. (2019). Knowledge Transfer Speed Optimizations in Product Development Contexts: Results of a Research Project. GITO mbH Verlag.

Grum, M., Bender, B., Alfa, A. S., & Gronau, N. (2018). A decision maxim for efficient task realization within analytical network infrastructures. Decision Support Systems (DSS), vol. 112, pp. 48-59. https://doi.org/10.1016/j.dss.2018.06.005

Grum, M., Gronau, N. (2018). A Visionary Way to Novel Process Optimizations. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2017. Lecture Notes in Business Information Processing, vol. 309. Springer, Cham. https://doi.org/10.1007/978-3-319-78428-1_1

Grum, M., Gronau, N. (2018). Process Modeling Within Augmented Reality. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2018. Lecture Notes in Business Information Processing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-94214-8_7

Ullrich, A., Vladova, G., Grum, M., & Marquart, D. (2018). Does size matter? The effects of enterprise size on the perception of benefits and risks of open innovation projects. Journal of Innovation Management (JIM), vol. 6, no. 2, pp. 71-101. https://doi.org/10.24840/2183-0606_006.002_0005

Albers, A., Gronau, N., Rapp, S., Grum, M., Zaiser, A., Bursac, N., & Weber, E. (2018). Influencing factors and methods for knowledge transfer situations in Product Generation Engineering based on the SECI model. DS 91: Proceedings of NordDesign 2018, Linköping, Sweden.

Grum, M., Bender, B. and Alfa, A. (2017) The construction of a common objective function for analytical infrastructures. 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), Madeira, Portugal, pp. 219-225, https://doi.org/10.1109/ICE.2017.8279892

Ullrich, A., Vladova, G., & Grum, M. 2017. OI-risk and chances: Theoretical evidence meets practical relevance. In: ISPIM Innovation Symposium, The International Society for Professional Innovation Management (ISPIM), pp. 1-9.

Grum, M., Glaschke, C. (2017). Entwicklung einer Methode zur Priorisierung von Anforderungen unter Berücksichtigung von Synergieeffekten. In: Lecture Notes in Informatics (LNI) - INFORMATIK 2017 - Unternehmensarchitektur in Forschung und Praxis. Gesellschaft für Informatik, Bonn, pp. 2127-2138. https://doi.org/10.18420/in2017_212

Grum, M., & Gronau, N. (2017). Integration of augmented reality technologies in process modeling. Proceedings of the Seventh International Symposium on Business Modeling and Software Design, pp. 206-215.

Gronau, N., & Grum, M. (2016). Wissensmanagement im Zeitalter der Digitalisierung. GITO mbH Verlag.

Bender, B., & Grum, M. (2016). Entwicklung eines Architekturkonzepts zum flexiblen Einsatz von Analytics. Informatik 2016, pp. 815-824. Gesellschaft für Informatik eV.

Gronau, N., Grum, M. & Bender, B. (2016). Determining the optimal level of autonomy in cyber-physical production systems. 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), Poitiers, France, 2016, pp. 1293-1299. https://doi.org/10.1109/INDIN.2016.7819367