@misc{PanzerBenderGronau2022,
  author    = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert},
  title     = {Neural agent-based production planning and control},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-60477},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-604777},
  pages     = {26},
  year      = {2022},
  abstract  = {Nowadays, production planning and control must cope with mass customization, increased fluctuations in demand, and high competition pressures. Despite prevailing market risks, planning accuracy and increased adaptability in the event of disruptions or failures must be ensured, while simultaneously optimizing key process indicators. To manage that complex task, neural networks that can process large quantities of high-dimensional data in real time have been widely adopted in recent years. Although these are already extensively deployed in production systems, a systematic review of applications and implemented agent embeddings and architectures has not yet been conducted. The main contribution of this paper is to provide researchers and practitioners with an overview of applications and applied embeddings and to motivate further research in neural agent-based production. Findings indicate that neural agents are not only deployed in diverse applications, but are also increasingly implemented in multi-agent environments or in combination with conventional methods — leveraging performances compared to benchmarks and reducing dependence on human experience. This not only implies a more sophisticated focus on distributed production resources, but also broadening the perspective from a local to a global scale. Nevertheless, future research must further increase scalability and reproducibility to guarantee a simplified transfer of results to reality.},
  language  = {en}
}
@article{PanzerBenderGronau2022,
  author    = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert},
  title     = {Neural agent-based production planning and control},
  series = {Journal of Manufacturing Systems},
  volume    = {65},
  journal   = {Journal of Manufacturing Systems},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0278-6125},
  doi       = {10.1016/j.jmsy.2022.10.019},
  pages     = {743 -- 766},
  year      = {2022},
  abstract  = {Nowadays, production planning and control must cope with mass customization, increased fluctuations in demand, and high competition pressures. Despite prevailing market risks, planning accuracy and increased adaptability in the event of disruptions or failures must be ensured, while simultaneously optimizing key process indicators. To manage that complex task, neural networks that can process large quantities of high-dimensional data in real time have been widely adopted in recent years. Although these are already extensively deployed in production systems, a systematic review of applications and implemented agent embeddings and architectures has not yet been conducted. The main contribution of this paper is to provide researchers and practitioners with an overview of applications and applied embeddings and to motivate further research in neural agent-based production. Findings indicate that neural agents are not only deployed in diverse applications, but are also increasingly implemented in multi-agent environments or in combination with conventional methods — leveraging performances compared to benchmarks and reducing dependence on human experience. This not only implies a more sophisticated focus on distributed production resources, but also broadening the perspective from a local to a global scale. Nevertheless, future research must further increase scalability and reproducibility to guarantee a simplified transfer of results to reality.},
  language  = {en}
}
@incollection{TeichmannLassUllrichetal.2022,
  author    = {Teichmann, Malte and Lass, Sander and Ullrich, Andr{\´e} and Gronau, Norbert},
  title     = {Modellfabriken als Enabler flexibler Lehr- und Lernsituationen f{\"u}r die Kompetenzentwicklung im Fabrikkontext},
  series = {Faktor Mensch},
  booktitle = {Faktor Mensch},
  editor    = {Weber, Kristin and Reinheimer, Stefan},
  publisher = {Springer Fachmedien},
  address   = {Wiesbaden},
  isbn      = {978-3-658-34523-5},
  doi       = {10.1007/978-3-658-34524-2_10},
  pages     = {173 -- 196},
  year      = {2022},
  abstract  = {Dieses Kapitel diskutiert die Notwendigkeit einer st{\"a}rkeren Praxisorientierung f{\"u}r die Schaffung konkreter Lehr- und Lernr{\"a}ume in Unternehmen und zeigt die Vorteile einer Lernfabrik vor dem Hintergrund der stattfindenden Digitalisierung als Mittel zur Kompetenzentwicklung auf. Die technologiebedingt erweiterten Weiterbildungsziele erfordern die Nutzung geeigneter Konzepte und L{\"o}sungen. Dahingehend erfolgt die zielorientierte Konkretisierung der Kreation geeigneter Lehr- und Lernsituationen. Die Darstellung der Nutzbarmachung einer Modellfabrik als Lernfabrik der betrieblichen Weiterbildungspraxis zeigt nicht nur eine L{\"o}sung f{\"u}r die intendierte Bereitstellung flexibler Lehr- und Lernsituationen, sondern liefert ebenso Handlungsempfehlungen und Best-Practices f{\"u}r die erfolgreiche Kompetenzentwicklung. Insbesondere Praktiker profitieren von der Darstellung der Lernfabrik: aus dieser k{\"o}nnen sowohl betriebliche Weiterbildner als auch Gesch{\"a}ftsverantwortliche Implikationen f{\"u}r die didaktische Transformation betrieblicher Arbeitsorte in betriebliche Lern-Orte ableiten. Die detaillierte Darstellung einer Tagesschulung zum Thema Auswirkungen von Industrie 4.0 auf die Arbeit der Mitarbeiter sowie Illustration eines Lernszenarios geben reale Einblicke, wie betriebliche Weiterbildung abseits von Lehr-Lern-Kurzschluss-orientierter Didaktik gelingt.},
  language  = {de}
}
@incollection{Gronau2022,
  author    = {Gronau, Norbert},
  title     = {K{\"u}nstliche Intelligenz in der Produktionssteuerung},
  series = {Handbuch Digitalisierung},
  booktitle = {Handbuch Digitalisierung},
  editor    = {Roth, Stefan and Corsten, Hans},
  publisher = {Verlag Franz Vahlen},
  address   = {M{\"u}nchen},
  isbn      = {978-3-8006-6562-4},
  pages     = {629 -- 650},
  year      = {2022},
  language  = {de}
}
@article{VladovaGronau2022,
  author    = {Vladova, Gergana and Gronau, Norbert},
  title     = {KI-basierte Assistenzsysteme in betrieblichen Lernprozessen},
  series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  volume    = {38},
  journal   = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  number    = {2},
  publisher = {GITO mbH Verlag f{\"u}r Industrielle Informationstechnik und Organisation},
  address   = {Berlin},
  issn      = {2364-9216},
  doi       = {10.30844/I40M_22-2_11-14},
  pages     = {11 -- 14},
  year      = {2022},
  abstract  = {Assistenzsysteme finden im Kontext der digitalen Transformation immer mehr Einsatz. Sie k{\"o}nnen Besch{\"a}ftigte in industriellen Produktionsprozessen sowohl in der Anlern- als auch in der aktiven Arbeitsphase unterst{\"u}tzen. Kompetenzen k{\"o}nnen so arbeitsplatz- und prozessnah sowie bedarfsorientiert aufgebaut werden. In diesem Beitrag wird der aktuelle Forschungsstand zu den Einsatzm{\"o}glichkeiten dieser Assistenzsysteme diskutiert und mit Beispielen illustriert. Es werden unter anderem auch Herausforderungen f{\"u}r den Einsatz aufgezeigt. Am Ende des Beitrags werden Potenziale f{\"u}r die zuk{\"u}nftige Nutzung von AS in industriellen Lernprozessen und f{\"u}r die Forschung identifiziert.},
  language  = {de}
}
@inproceedings{BenderGronau2022,
  author    = {Bender, Benedict and Gronau, Norbert},
  title     = {Introduction to the Minitrack on towards the future of enterprise systems},
  series = {Proceedings of the 55th Hawaii International Conference on System Sciences},
  booktitle = {Proceedings of the 55th Hawaii International Conference on System Sciences},
  editor    = {Bui, Tung},
  publisher = {Hawaii International Conference on System Sciences},
  address   = {Honolulu, HI},
  isbn      = {978-0-9981331-5-7},
  doi       = {10.24251/HICSS.2022.869},
  pages     = {7232 -- 7233},
  year      = {2022},
  abstract  = {Enterprise systems have long played an important role in businesses of various sizes. With the increasing complexity of today's business relationships, specialized application systems are being used more and more. Moreover, emerging technologies such as artificial intelligence are becoming accessible for enterprise systems. This raises the question of the future role of enterprise systems. This minitrack covers novel ideas that contribute to and shape the future role of enterprise systems with five contributions.},
  language  = {en}
}
@misc{BenderGronau2022,
  author    = {Bender, Benedict and Gronau, Norbert},
  title     = {Introduction to the Minitrack on towards the future of enterprise systems},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  editor    = {Bui, Tung},
  isbn      = {978-0-9981331-5-7},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-60540},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605406},
  pages     = {4},
  year      = {2022},
  abstract  = {Enterprise systems have long played an important role in businesses of various sizes. With the increasing complexity of today's business relationships, pecialized application systems are being used more and more. Moreover, emerging technologies such as artificial intelligence are becoming accessible for enterprise systems. This raises the question of the future role of enterprise systems. This minitrack covers novel ideas that contribute to and shape the future role of enterprise systems with five contributions.},
  language  = {en}
}
@book{Gronau2022,
  author    = {Gronau, Norbert},
  title     = {Gesch{\"a}ftsprozessmanagement in Wirtschaft und Verwaltung},
  edition   = {3. Aufl.},
  publisher = {Gito},
  address   = {Berlin},
  isbn      = {978-3-95545-399-2},
  pages     = {x, 383},
  year      = {2022},
  abstract  = {Dieses Standardwerk zu Geschäftsprozessmanagement in Wirtschaft und Verwaltung gibt gleichzeitig einen Überblick {\"u}ber den aktuellen Stand der Forschung zu diesem Thema und f{\"u}hrt Interessierte wie Studierende oder Praktiker in das Thema und seine Facetten ein. Aktuelle Entwicklungen wie Robotic Process Automation und Process Mining werden aufgegriffen. Im Mittelpunkt stehen die drei wesentlichen GPM- Blickwinkel Technik, Organisation und Mensch. Aus Sicht der Forschung werden innovative Methoden zur Modellierung und Analyse von Geschäftsprozessen beschrieben. Aus Sicht der Lehre dient das Buch als Einstiegslekt{\"u}re und liefert Ansatzpunkte f{\"u}r die vertiefte Befassung mit einzelnen Aspekten des Geschäftsprozessmanagements. F{\"u}r die Praxis beschreibt dieses Werk die dort bestehenden konzeptionellen und methodischen Hindernisse des Prozessmanagements und zeigt Wege zur Überwindung dieser Hindernisse. Die vorliegende Auflage wurde vollständig {\"u}berarbeitet und stark erweitert, u. a. mit neuen Kapiteln zu Software f{\"u}r das Geschäftsprozessmanagement und zum Change Management.},
  language  = {de}
}
@incollection{Gronau2022,
  author    = {Gronau, Norbert},
  title     = {Errors in the process of modeling business processes},
  series = {Business modeling and software design : 12th International Symposium, BMSD 2022, Fribourg, Switzerland, June 27-29, 2022, proceedings},
  volume    = {453},
  booktitle = {Business modeling and software design : 12th International Symposium, BMSD 2022, Fribourg, Switzerland, June 27-29, 2022, proceedings},
  editor    = {Shishkov, Boris},
  publisher = {Springer International Publishing},
  address   = {Cham},
  isbn      = {978-3-031-11509-7},
  doi       = {10.1007/978-3-031-11510-3_13},
  pages     = {221 -- 229},
  year      = {2022},
  abstract  = {Process models are the basic ingredient for many attempts to improve business processes. The graphical depiction of otherwise not observable behavior in an enterprise is one of the most important techniques in the digital society. They help to enable decision making in the design of processes and workflows. Nevertheless it is not easy to correctly model business processes. Some approaches try to detect errors by an automated analysis of the process model. This contribution focuses on the creation of the first model from scratch. Which errors occur most frequently and how can these be avoided?},
  language  = {en}
}
@misc{GrumKoerppenKorjahnetal.2022,
  author    = {Grum, Marcus and K{\"o}rppen, Tim and Korjahn, Nicolas and Gronau, Norbert},
  title     = {Entwicklung eines KI-ERP-Indikators},
  publisher = {Center for Enterprise Research, Universit{\"a}t Potsdam},
  address   = {Potsdam},
  pages     = {27},
  year      = {2022},
  abstract  = {K{\"u}nstliche Intelligenz (KI) gewinnt in zahlreichen Branchen rasant an Bedeutung und wird zunehmend auch in Enterprise Resource Planning (ERP)-Systemen als Anwendungsbereich erschlossen. Die Idee, dass Maschinen die kognitiven F{\"a}higkeiten des Menschen imitieren k{\"o}nnen, indem Wissen durch Lernen auf Basis von Beispielen in Daten, Informationen und Erfahrungen generiert wird, ist heute ein Schl{\"u}sselelement der digitalen Transformation. Jedoch charakterisiert der Einsatz von KI in ERP-System einen hohen Komplexit{\"a}tsgrad, da die KI als Querschnittstechnologie zu verstehen ist, welche in unterschiedlichen Unternehmensbereichen zum Einsatz kommen kann. Auch die Anwendungsgrade k{\"o}nnen sich dabei erheblich voneinander unterscheiden. Um trotz dieser Komplexit{\"a}t den Einsatz der KI in ERP-Systemen erfassen und systembezogen vergleichen zu k{\"o}nnen, wurde im Rahmen dieser Studie ein Reifegradmodell entwickelt. Dieses bildet die Ausgangsbasis zur Ermittlung der KI-Reife in ERP-Systemen und grenzt dabei die folgenden vier KI- bzw. systembezogenen Ebenen voneinander ab: 1) Technische M{\"o}glichkeiten, 2) Datenreife, 3) Funktionsreife und 4) Erkl{\"a}rf{\"a}higkeit des Systems.},
  language  = {de}
}
@article{UllrichVladovaMarquartetal.2022,
  author    = {Ullrich, Andr{\´e} and Vladova, Gergana and Marquart, Danny and Braun, Andreas and Gronau, Norbert},
  title     = {An overwiew of benefits and risks in open innovation projects and the influence of intermediary participation, decision-making authority, experience, and position on their perception},
  series = {International journal of innovation management : IJIM},
  volume    = {26},
  journal   = {International journal of innovation management : IJIM},
  number    = {02},
  publisher = {World Scientific Publ.},
  address   = {Singapore},
  issn      = {1363-9196},
  doi       = {10.1142/S1363919622500128},
  pages     = {41},
  year      = {2022},
  abstract  = {This paper presents an exploratory study investigating the influence of the factors (1) intermediary participation, (2) decision-making authority, (3) position in the enterprise, and (4) experience in open innovation on the perception and assessment of the benefits and risks expected from participating in open innovation projects. For this purpose, an online survey was conducted in Germany, Austria and Switzerland. The result of this paper is an empirical evidence showing whether and how these factors affect the perception of potential benefits and risks expected within the context of open innovation project participation. Furthermore, the identified effects are discussed against the theory. Existing theory regarding the benefits and risks of open innovation is expanded by (1) finding that they are perceived mostly independently of the factors, (2) confirming the practical relevance of benefits and risks, and (3) enabling a finer distinction between their degrees of relevance according to respective contextual specifics.},
  language  = {en}
}
@incollection{GronauWeberWanderetal.2022,
  author    = {Gronau, Norbert and Weber, Edzard and Wander, Paul and Ullrich, Andr{\´e}},
  title     = {A regional remanufacturing network approach},
  series = {Digitization of the work environment for sustainable production},
  booktitle = {Digitization of the work environment for sustainable production},
  editor    = {Plapper, Peter},
  publisher = {GITO Verlag},
  address   = {Berlin},
  isbn      = {978-3-95545-407-4},
  doi       = {10.30844/WGAB_2022_8},
  pages     = {145 -- 170},
  year      = {2022},
  abstract  = {Manufacturing companies still have relatively few points of contact with the circular economy. Especially, extending life time of whole products or parts via remanufacturing is an promising approach to reduce waste. However, necessary cost-efficient assessment of the condition of the individual parts is challenging and assessment procedures are technically complex (e.g., scanning and testing procedures). Furthermore, these assessment procedures are usually only available after the disassembly process has been completed. This is where conceptualization, data acquisition and simulation of remanufacturing processes can help. One major constraining aspect of remanufacturing is reducing logistic efforts, since these also have negative external effects on the environment. Thus regionalization is an additional but in the end consequential challenge for remanufacturing. This article aims to fill a gap by providing an regional remanufacturing approach, in particular the design of local remanufacturing chains. Thereby, further focus lies on modeling and simulating alternative courses of action, including feasibility study and eco-nomic assessment.},
  language  = {en}
}
@article{BenderBertheauKoerppenetal.2022,
  author    = {Bender, Benedict and Bertheau, Clementine and K{\"o}rppen, Tim and Lauppe, Hannah and Gronau, Norbert},
  title     = {A proposal for future data organization in enterprise systems},
  series = {Information systems and e-business management},
  volume    = {20},
  journal   = {Information systems and e-business management},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {1617-9846},
  doi       = {10.1007/s10257-022-00555-6},
  pages     = {441 -- 494},
  year      = {2022},
  abstract  = {The digital transformation sets new requirements to all classes of enterprise systems in companies. ERP systems in particular, which represent the dominant class of enterprise systems, are struggling to meet the new requirements at all levels of the architecture. Therefore, there is an urgent need to reconsider the overall architecture of the systems and address the root of the related issues. Given that many restrictions ERP pose on their adaptability are related to the standardization of data, the database layer of ERP systems is addressed. Since database serve as the foundation for data storage and retrieval, they limit the flexibility of enterprise systems and the chance to adapt to new requirements accordingly. So far, relational databases are widely used. Using a systematic literature approach, recent requirements for ERP systems were identified. Prominent database approaches were assessed against the 23 requirements identified. The results reveal the strengths and weaknesses of recent database approaches. To this end, the results highlight the demand to combine multiple database approaches to fulfill recent business requirements. From a conceptual point of view, this paper supports the idea of federated databases which are interoperable to fulfill future requirements and support business operation. This research forms the basis for renewal of the current generation of ERP systems and proposes to ERP vendors to use different database concepts in the future.},
  language  = {en}
}