@inproceedings{RojahnGronau2024,
  author    = {Rojahn, Marcel and Gronau, Norbert},
  title     = {Openness indicators for the evaluation of digital platforms between the launch and maturity phase},
  series = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences},
  booktitle = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences},
  editor    = {Bui, Tung X.},
  publisher = {Department of IT Management Shidler College of Business University of Hawaii},
  address   = {Honolulu, HI},
  isbn      = {978-0-99813-317-1},
  pages     = {4516 -- 4525},
  year      = {2024},
  abstract  = {In recent years, the evaluation of digital platforms has become an important focus in the field of information systems science. The identification of influential indicators that drive changes in digital platforms, specifically those related to openness, is still an unresolved issue. This paper addresses the challenge of identifying measurable indicators and characterizing the transition from launch to maturity in digital platforms. It proposes a systematic analytical approach to identify relevant openness indicators for evaluation purposes. The main contributions of this study are the following (1) the development of a comprehensive procedure for analyzing indicators, (2) the categorization of indicators as evaluation metrics within a multidimensional grid-box model, (3) the selection and evaluation of relevant indicators, (4) the identification and assessment of digital platform architectures during the launch-to-maturity transition, and (5) the evaluation of the applicability of the conceptualization and design process for digital platform evaluation.},
  language  = {en}
}
@article{PanzerGronau2024,
  author    = {Panzer, Marcel and Gronau, Norbert},
  title     = {Enhancing economic efficiency in modular production systems through deep reinforcement learning},
  series = {Procedia CIRP},
  volume    = {121},
  journal   = {Procedia CIRP},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2212-8271},
  doi       = {10.1016/j.procir.2023.09.229},
  pages     = {55 -- 60},
  year      = {2024},
  abstract  = {In times of increasingly complex production processes and volatile customer demands, the production adaptability is crucial for a company's profitability and competitiveness. The ability to cope with rapidly changing customer requirements and unexpected internal and external events guarantees robust and efficient production processes, requiring a dedicated control concept at the shop floor level. Yet in today's practice, conventional control approaches remain in use, which may not keep up with the dynamic behaviour due to their scenario-specific and rigid properties. To address this challenge, deep learning methods were increasingly deployed due to their optimization and scalability properties. However, these approaches were often tested in specific operational applications and focused on technical performance indicators such as order tardiness or total throughput. In this paper, we propose a deep reinforcement learning based production control to optimize combined techno-financial performance measures. Based on pre-defined manufacturing modules that are supplied and operated by multiple agents, positive effects were observed in terms of increased revenue and reduced penalties due to lower throughput times and fewer delayed products. The combined modular and multi-staged approach as well as the distributed decision-making further leverage scalability and transferability to other scenarios.},
  language  = {en}
}
@book{Gronau2024,
  author    = {Gronau, Norbert},
  title     = {Knowledge Modeling and Description Language (KMDL) 3.0},
  publisher = {GITO mbH Verlag},
  address   = {Berlin},
  isbn      = {978-3-95545-416-6},
  pages     = {135},
  year      = {2024},
  language  = {en}
}
@article{BenderKorjahnGronau2024,
  author    = {Bender, Benedict and Korjahn, Nicolas and Gronau, Norbert},
  title     = {Erfolgreich auf Handelsplattformen},
  series = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen},
  volume    = {20},
  journal   = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen},
  number    = {1},
  publisher = {GITO mbH - Verlag f{\"u}r Industrielle Informationstechnik und Organisation},
  address   = {Berlin},
  issn      = {1860-6725},
  pages     = {76 -- 82},
  year      = {2024},
  abstract  = {Obwohl Handelsplattformen zunehmend an Bedeutung gewinnen, besteht im deutschsprachigen Raum ein Mangel an umfassenden Markt{\"u}bersichten. Dadurch fehlt es Verk{\"a}ufern, potenziellen Plattformbetreibern und Kunden an einer soliden Grundlage f{\"u}r fundierte Entscheidungen. Das {\"a}ndern wir mit folgendem Beitrag. Erfahren Sie hier das Wichtigste {\"u}ber den rasant wachsenden Markt der Handelsplattformen.},
  language  = {de}
}
@inproceedings{AbendrothBenderGronau2024,
  author    = {Abendroth, Adrian and Bender, Benedict and Gronau, Norbert},
  title     = {The evolution of original ERP customization},
  series = {Proceedings of the 26th International Conference on Enterprise Information Systems},
  volume    = {1},
  booktitle = {Proceedings of the 26th International Conference on Enterprise Information Systems},
  publisher = {SCITEPRESS - Science and Technology Publications},
  address   = {Set{\´u}bal},
  isbn      = {978-989-758-692-7},
  issn      = {2184-4992},
  doi       = {10.5220/0012305500003690},
  pages     = {17 -- 27},
  year      = {2024},
  abstract  = {Enterprise Resource Planning (ERP) system customization is often necessary because companies have unique processes that provide their competitive advantage. Despite new technological advances such as cloud computing or model-driven development, technical ERP customization options are either outdated or ambiguously formulated in the scientific literature. Using a systematic literature review (SLR) that analyzes 137 definitions from 26 papers, the result is an analysis and aggregation of technical customization types by providing clearance and aligning with future organizational needs. The results show a shift from ERP code modification in on-premises systems to interface and integration customization in cloud ERP systems, as well as emerging technological opportunities as a way for customers and key users to perform system customization. The study contributes by providing a clear understanding of given customization types and assisting ERP users and vendors in making customization decisions.},
  language  = {en}
}