@inproceedings{7068, abstract = {Adopting digital twin technologies in small andmedium-sized enterprises (SMEs) is often hinderedby heterogeneous, poorly documented productiondata. Current semantic type detection approachesrequire massive labeled datasets making themimpractical for resource-constrained SMEs. Wepropose a zero-shot hybrid framework combiningpattern-based classification with selective largelanguage model (LLM) reasoning formanufacturing-specific data types. The two-stagearchitecture uses rule-based patterns for high-confidence cases, forwarding ambiguous columnsto a multi-step LLM reasoner. Evaluation on fourmanufacturing datasets shows the hybrid approachachieves weighted F1 within 7 24 percentagepoints of pure LLM classification performancewhile reducing LLM invocations by 39% onaverage. Processing time decreased by up to 2.8×.Our framework addresses a critical gap: automated,computationally efficient data type recognition formanufacturing SMEs without requiring trainingdata, contributing to automated simulation anddigital twin construction.}, author = {Döring, Lina and Trojahn, Sebastian and Reusch, Pascal}, booktitle = {19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management}, editor = {Behrendt, Fabian and Zadek, Hartmut and Janmontree, Jettarat and Trojahn, Sebastian and Lang, Sebastian}, keywords = {Semantic Data Type Detection, DigitalTwin, Manufacturing SMEs, Zero-shot Learning, Hybrid AI, LLM}, location = {Magdeburg}, publisher = {Otto von Guericke University Library, Magdeburg, Germany}, title = {{Smart data adapter: A hybrid pattern-LLM approach}}, doi = {10.25673/123544}, year = {2026}, } @inproceedings{7036, author = {Schwede, Christian and Schipper, Lennart and Cirullies, Jan}, booktitle = {Proceedings of the 2026 9th International Conference on Computers in Management and Business}, isbn = {9798400722288}, location = {Tokyo Japan}, pages = {102--106}, publisher = {ACM}, title = {{Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI}}, doi = {10.1145/3802463.3802479}, year = {2026}, } @inproceedings{7029, author = {Kobert, Maria and Brade, Jennifer and Mandl, Sarah and Vitt, Valeska and Lischka, Susanne and Strobel, Anja and Klimant, Franziska and Süße, Thomas}, booktitle = {2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)}, location = {Vienna, Austria}, pages = {192--197}, publisher = {IEEE}, title = {{Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration}}, doi = {10.1109/ARSO68304.2026.11536141}, year = {2026}, } @inproceedings{6803, author = {Günther, Felix and Süße, Thomas}, location = {Kassel}, title = {{Resilience of work systems: Conducting a design science research approach to synthesize theory and design a conceptual model for manufacturing SMEs}}, year = {2026}, } @inproceedings{6804, author = {Komorowski, Tim and Süße, Thomas}, location = {Kassel}, title = {{Zur beruflichen Nutzung generativer KI in Deutschland: Zusammenhänge mit Arbeitsmerkmalen, Autonomie und Führungsverantwortung in der Unternehmensorganisation}}, year = {2026}, } @inproceedings{6898, abstract = {The labeling process for supervised learning is costly and time-consuming, and is often impractical to scale due to real-world constraints. Active learning (AL) addresses this challenge by strategically selecting representative and informative data points to reduce labeling efforts. This paper focuses on an AL scenario in which only a very limited number of labels can be acquired. We propose an algorithm operating in two phases: (1) an exploration phase that prioritizes representative and diverse data points using density-driven criteria, and (2) an exploitation phase that combines predictive uncertainty with density weighting to select informative samples from densely populated regions. This enhances both representativeness and informativeness. Our results demonstrate significant improvements in model quality compared to other algorithms typically employed for this scenario, across various scenarios involving imbalanced data in classification tasks and skewness in regression tasks. Through this work, we aim to provide a new algorithm for this scenario and investigate general principles for AL. While most AL studies focus on either classification or regression, our work applies the algorithms to both. Therefore, we can analyze the differences between classification and regression problems and their effects on AL strategies. Furthermore, we explore different categories of AL criteria and their effectiveness in the low-budget regime. These results also provide insight into the cold-start problem, which involves selecting an initial labeled set and is faced by many model-based AL methods.}, author = {Jaster, Bjarne and Tharwat, Alaa and Sheikh, Eiram Mahera and Kohlhase, Martin and Schenck, Wolfram}, booktitle = {Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part IV}, editor = {Koprinska, Irena and Mendes-Moreira, João and Branco, Paula}, isbn = {978-3-032-19104-5}, issn = {1865-0937}, location = {Porto, Portugal}, pages = {5--21}, publisher = {Springer Nature Switzerland}, title = {{Low Query Budget Active Learning for Classification and Regression}}, doi = {10.1007/978-3-032-19105-2_1}, year = {2026}, } @article{6655, author = {Tharwat, Alaa and Jaster, Bjarne and Schenck, Wolfram and Kohlhase, Martin}, issn = {09521976}, journal = {Engineering Applications of Artificial Intelligence}, publisher = {Elsevier BV}, title = {{Active learning evaluation metrics for classification and regression frameworks}}, doi = {10.1016/j.engappai.2026.114295}, volume = {171}, year = {2026}, } @inproceedings{6904, abstract = {Der Berufsstand der Wirtschaftsprüfer und das Rechnungswesen von Unternehmen kämpfen aktuell mit einem sinkenden Image sowie einem massiven Fachkräftemangel. Als zentrale Antwort darauf gilt die fortschreitende Digitalisierung und der Einsatz von KI, die bereits heute zu einer weitgehenden Automatisierung operativer Kernprozesse wie dem „Purchase-to-Pay“-Porzess führen. Während das Institut für Arbeitsmarkt- und Berufsforschung (IAB) für Buchhaltungstätigkeiten ein Automatisierungspotenzial von 100 % sieht, liegt dieses in der Wirtschaftsprüfung bei etwa 57 %. In der Prüfungspraxis verschiebt sich der Fokus von Routineaufgaben hin zu risikoorientierten Datenanalysen, IT-Systemprüfungen und der Nachhaltigkeitsberichterstattung, wobei das finale Urteil weiterhin beim Menschen verbleibt („Human-in-the-Loop“). Für die Hochschulausbildung bedeutet diese Transformation, dass neben den klassischen Basiskompetenzen vermehrt Spezialwissen in der Datenanalyse sowie übergreifende Meta-Kompetenzen wie „Data Literacy“ und grundlegendes KI-Verständnis vermittelt werden müssen. Hochschulen sind daher gefordert, diesen Wandel durch neue Lehrformate und Kooperationen mit der Praxis aktiv mitzugestalten, um den steigenden qualitativen Anforderungen an künftige Mitarbeitende gerecht zu werden.}, author = {Kampe, Tim}, booktitle = {46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.}, keywords = {Wirtschaftsprüfung, Rechnungswesen, Künstliche Intelligenz, Fachkräftemangel, Hochschullehre, Data Literacy, Automatisierung}, location = {Bad Mergentheim}, title = {{Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung}}, year = {2026}, } @article{6297, author = {Katter, Vincent and Huperz, Carolin and Kohlhase, Martin and Bartsch, J. and Özlü, Ismail and Regier, M and Amelung, R.I. and Klemme, B.}, issn = {0340-5591}, journal = {Orthopädie Technik}, keywords = {Diabetisches Fußsyndrom (DFS), Smarte Orthese, Plantardruckmessung, Anomalieerkennung, Künstliche Intelligenz}, number = {11}, pages = {68 -- 73}, publisher = {Verlag Orthopädie-Technik}, title = {{Sensorintegration in Orthesen zur Versorgung des Diabetischen Fußsyndroms: eine technische Betrachtung}}, year = {2025}, } @article{6222, author = {Süße, Thomas and Kobert, Maria and Siderska, Julia}, issn = {2543-912X}, journal = {Engineering Management in Production and Services}, number = {3}, pages = {51--67}, publisher = {Walter de Gruyter GmbH}, title = {{Key elements of digital competence in professional sales & service work: Development and evaluation of a self-assessment scale for frontline employees}}, doi = {10.2478/emj-2025-0019}, volume = {17}, year = {2025}, } @inbook{6805, author = {Korte, Philipp and Carminati, Luca and Süße, Thomas and Kobert, Maria and Cimini, Chiara and Lagorio, Alexandra and Pirola, Fabiana}, booktitle = {Hybrid Human-AI Collaborative Networks. 26th IFIP WG 5.5 SOCOLNET Working Conference on Virtual Enterprises, PRO-VE 2025, Porto, Portugal, October 27-29, 2025, Proceedings, Part II}, editor = {Camarinha-Matos, Luis M. and Ortiz, Angel and Boucher, Xavier and Soares, Antonio Lucas}, isbn = {978-3-032-05680-1}, issn = {1868-422X}, pages = {137--153}, publisher = {Springer Nature Switzerland}, title = {{Educational Pathways for Industry 5.0: Development and Evaluation of a Collaborative Learning Cube Defining Learning Objectives, Curriculum Structure, and Certification Processes Across Different Professional Levels}}, doi = {10.1007/978-3-032-05681-8_9}, year = {2025}, } @article{6225, author = {Korte, Philipp and Süße, Thomas and Kobert, Maria and Kries, Caroline and Voigt, Bernd-Friedrich}, issn = {1758-9568}, journal = {Strategy & Leadership}, keywords = {Transformational leadership, Digital competence, Virtual leadership, COVID-19 pandemic, Virtual work design}, number = {1}, pages = {1--22}, publisher = {emerald insight}, title = {{Perception of transformational leadership and digital competence with varying degrees of permanence of virtual work: insights on work virtualization during the COVID-19 lockdown}}, doi = {10.1108/SL-03-2025-0051}, volume = {54}, year = {2025}, } @inproceedings{5407, author = {Schultenkämper, Sergej and Vovchenko, Viktoriia and Bäumer, Frederik}, booktitle = {The 13th IEEE International Workshop on Semantic Computing for Social Networking: from user information to social knowledge and ethical AI}, location = {Laguna Hills, CA}, title = {{Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking}}, doi = {10.1109/ICSC64641.2025.00045}, year = {2025}, } @inproceedings{6797, author = {Schipper, Lennart and Schwede, Christian}, booktitle = {Simulation in Produktion und Logistik 2025}, editor = {Rank , Sebastian and Kühn , Mathias and Schmidt, Thorsten }, isbn = {978-3-86780-806-4}, location = {Dresden}, publisher = {Technische Universität Dresden, Professur für Technische Logistik }, title = {{Automated Adaptation of Digital Twins for Production Line Design by Adapting Existing Models Through LLM-Guided Expert Interviews}}, doi = {10.25368/2025.247}, year = {2025}, } @inproceedings{6796, author = {Farwick, Patrick and Schwede, Christian}, booktitle = {2025 Winter Simulation Conference (WSC)}, location = {Seattle, WA, USA}, pages = {1466--1477}, publisher = {IEEE}, title = {{Reinforcement Learning in Production Planning and Control: a Review on State, Action and Reward Design in Order Release and Production Scheduling}}, doi = {10.1109/WSC68292.2025.11338874}, year = {2025}, } @book{6439, author = {Köhler, Gerhard and Roth, Werner and Schmidtmann, Achim}, isbn = {978-3-658-49725-5}, issn = {2192-810X}, publisher = {Springer Nature}, title = {{Adaptive IT Service Tendering. The Path to Agile and Effective IT Outsourcing}}, doi = {10.1007/978-3-658-49726-2}, year = {2025}, } @inbook{6349, author = {Schmidtmann, Achim and Babić, Marina and Chlopek-Duljević, Sonia Anna and Kunasegaram, Theepika}, booktitle = {Disrupt or Be Disrupted: How does AI shape the Future of Business and Politics?}, editor = {Öztürk, Riza and Auschner, Eika}, location = {Bielefeld}, pages = {32}, publisher = {Shaker Verlag}, title = {{Artificial Intelligence in Recruiting: A Balancing Act Between Innovation and Ethics}}, year = {2025}, } @inproceedings{5972, author = {Döring, Lina and Trojahn, Sebastian and Reusch, Pascal}, booktitle = {18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management}, keywords = {Digital Twin, Small and medium sized companies, SME, production optimization}, location = {Magdeburg}, publisher = {Otto von Guericke University Library, Magdeburg, Germany}, title = {{Partial Twin – Pragmatic Digital Twin Adoption for SMEs}}, doi = {10.57720/5972}, volume = {18}, year = {2025}, } @inproceedings{6037, author = {Döring, Lina and Trojahn, Sebastian and Reusch, Pascal}, booktitle = {18th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management}, keywords = {Digital Twin, Small and medium sized companies, SME, production optimization}, location = {Magdeburg}, publisher = {Otto von Guericke University Library, Magdeburg, Germany}, title = {{Partial Twin – Pragmatic Digital Twin Adoption for SMEs}}, doi = {10.57720/6037}, volume = {18}, year = {2025}, } @article{5871, author = {Beese, Nils O. and Dümke, Lennart and Döll, Yannic N. and Reinhard, René and Spilski, Jan and Lachmann, Thomas and Müller, Kerstin}, issn = {1362-3001}, journal = {Behaviour & Information Technology}, number = {6}, pages = {1124--1135 }, publisher = {Informa UK Limited}, title = {{Feel me, hear me: vibrotactile and auditory feedback cues in an invisible object search in virtual reality}}, doi = {10.1080/0144929X.2025.2459248}, volume = {44}, year = {2025}, }