TY - JOUR A1 - Weber, Edzard A1 - Stein, Maureen A1 - Gronau, Norbert T1 - Demokratieorientierte eGovernment-Systeme Y1 - 2009 SN - 1436 - 3011 ER - TY - JOUR A1 - Gronau, Norbert A1 - Fröming, Jane A1 - Schmid, Simone A1 - Rüssbüldt, Uwe T1 - Approach for requirement oriented team building in industrial processes N2 - This contribution presents an approach for requirement oriented team building in industrial processes like product development. This will be based on the knowledge modelling and description language (KMDL(R)) that enables the modelling and analysis of knowledge intensive business processes. First the basic elements of the modelling technique are described, presenting the concept and the description language. Furthermore it is shown how the KMDL(R) process models can be used as a basis for the team building component. Therefore, an algorithm was developed that is able to propose a team composition for a specific task by analyzing the knowledge and skills of the employees, which will be contrasted to the process requirements. This can be used as guidance for team building decisions. Y1 - 2007 UR - http://www.sciencedirect.com/science/journal/01663615 U6 - https://doi.org/10.1016/j.compind.2006.09.011 ER - TY - JOUR A1 - Gronau, Norbert A1 - Fröming, Jane T1 - KMDL : eine semiformale Beschreibungssprache zur Modellierung von Wissenskonversionen Y1 - 2006 UR - http://www.springerlink.com/content/0937-6429 U6 - https://doi.org/10.1007/s11576-006-0080-4 SN - 0937-6429 ER - TY - JOUR A1 - Gronau, Norbert T1 - Mobility creates process proximity Y1 - 2009 SN - 1434-2308 ER - TY - JOUR A1 - Gronau, Norbert T1 - Determining the appropriate degree of autonomy in cyber-physical production systems JF - CIRP Journal of Manufacturing Science and Technology N2 - Existing factories face multiple problems due to their hierarchical structure of decision making and control. Cyber-physical systems principally allow to increase the degree of autonomy to new heights. But which degree of autonomy is really useful and beneficiary? This paper differentiates diverse definitions of autonomy and approaches to determine them. Some experimental findings in a lab environment help to answer the question raised in this paper. KW - Cyber-phyiscal system KW - Degree of autonomy KW - Simulation KW - Production system Y1 - 2019 U6 - https://doi.org/10.1016/j.cirpj.2019.05.001 SN - 1755-5817 VL - 26 SP - 70 EP - 80 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Vladova, Gergana A1 - Ullrich, André A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Students’ acceptance of technology-mediated teaching – How it was influenced during the COVID-19 Pandemic in 2020 BT - A study from Germany JF - Frontiers in psychology / Frontiers Research Foundation N2 - In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring–summer 2020 semester. Our study focused on (1) the students’ acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study’s results and derive short- and long-term implications for science and practice. KW - COVID-19 KW - digital learning KW - discipline differences KW - e-learning KW - TAM KW - technology acceptance KW - technology-mediated teaching KW - university teaching Y1 - 2020 U6 - https://doi.org/10.3389/fpsyg.2021.636086 SN - 1664-1078 VL - 12 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Grum, Marcus A1 - Bender, Benedict A1 - Alfa, A. S. A1 - Gronau, Norbert T1 - A decision maxim for efficient task realization within analytical network infrastructures JF - Decision support systems : DSS ; the international journal N2 - Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, time dependent workloads in its components, and intelligent, flexible task distribution between local systems and cloud services is attractive. With the aim of developing a flexible and efficient design for analytical infrastructures, this paper proposes a flexible architecture model, which allocates tasks following a machine-specific decision heuristic. A simulation benchmarks this system with existing strategies and identifies the new decision maxim as superior in a first scenario-based simulation. KW - Analytics KW - Architecture concepts KW - Cyber-physical systems KW - Internet of things KW - Task realization strategies KW - Simulation Y1 - 2018 U6 - https://doi.org/10.1016/j.dss.2018.06.005 SN - 0167-9236 SN - 1873-5797 VL - 112 SP - 48 EP - 59 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Gronau, Norbert A1 - Schaefer, Martin T1 - Why metadata matters for the future of copyright JF - European Intellectual Property Review N2 - In the copyright industries of the 21st century, metadata is the grease required to make the engine of copyright run smoothly and powerfully for the benefit of creators, copyright industries and users alike. However, metadata is difficult to acquire and even more difficult to keep up to date as the rights in content are mostly multi-layered, fragmented, international and volatile. This article explores the idea of a neutral metadata search and enhancement tool that could constitute a buffer to safeguard the interests of the various proprietary database owners and avoid the shortcomings of centralised databases. KW - copyright KW - databases KW - metadata KW - music industry Y1 - 2021 SN - 0142-0461 VL - 43 IS - 8 SP - 488 EP - 494 PB - Sweet & Maxwell CY - London ER - TY - JOUR A1 - Schüffler, Arnulf A1 - Thim, Christof A1 - Haase, Jennifer A1 - Gronau, Norbert A1 - Kluge, Annette T1 - Information processing in work environment 4.0 and the beneficial impact of intentional forgetting on change management T1 - Informationsverarbeitung in der Industrie 4.0 und die vorteilhafte Wirkung von intentionalem Vergessen für das Change Management JF - Zeitschrift für Arbeits- und Organisationspsychologie : german journal of work and organizational psychology N2 - Industry 4.0, based on increasingly progressive digitalization, is a global phenomenon that affects every part of our work. The Internet of Things (IoT) is pushing the process of automation, culminating in the total autonomy of cyber-physical systems. This process is accompanied by a massive amount of data, information, and new dimensions of flexibility. As the amount of available data increases, their specific timeliness decreases. Mastering Industry 4.0 requires humans to master the new dimensions of information and to adapt to relevant ongoing changes. Intentional forgetting can make a difference in this context, as it discards nonprevailing information and actions in favor of prevailing ones. Intentional forgetting is the basis of any adaptation to change, as it ensures that nonprevailing memory items are not retrieved while prevailing ones are retained. This study presents a novel experimental approach that was introduced in a learning factory (the Research and Application Center Industry 4.0) to investigate intentional forgetting as it applies to production routines. In the first experiment (N = 18), in which the participants collectively performed 3046 routine related actions (t1 = 1402, t2 = 1644), the results showed that highly proceduralized actions were more difficult to forget than actions that were less well-learned. Additionally, we found that the quality of cues that trigger the execution of routine actions had no effect on the extent of intentional forgetting. N2 - Industrie 4.0 ist basierend auf fortschreitender Digitalisierung eine globale Entwicklung, die in allen Bereichen uns heute bekannter Arbeits- und Lebenswelten Einzug halten wird. Das Internet der Dinge beschleunigt Automatisierung bis hin zu autonomen cyber-physischen Systemen. Dieser Prozess wird begleitet von einer weiteren Zunahme von Daten. Gleichzeitig reduziert sich die Aktualität der Daten und damit die Dauer ihrer Relevanz. Die Herausforderungen im Umfeld von Industrie 4.0 zu meistern bedeutet für Menschen in Organisationen diese wachsenden Datenmengen und Anpassung an fortwährende Veränderung zu bewältigen. Intentionales Vergessen kann hier unterstützen. Intentionales Vergessen fokussiert das Vergessen irrelevanter Informationen und Verhaltensweisen zu Gunsten relevanter. In diesem Artikel stellen wir einen experimentellen Ansatz zur Erforschung von Prozessen des intentionalen Vergessens in Organisationen in einer Laborumgebung (Anwendungszentrum Industrie 4.0) vor. Im Fokus der Untersuchung steht dabei das Vergessen einer ungültig gewordenen Produktions-Routine und das Ausführen der neuen, jetzt gültigen. Wir beschreiben dabei zunächst das innovative experimentelle Design zur Untersuchung von Vergessensprozessen. In einer ersten Untersuchung mit N = 18 Personen, die insgesamt 3046 Handlungen zu t1 (1402) und t2 (1644) ausführen, zeigte sich, dass hoch gelernte (prozeduralisierte) Handlungen schwerer zu vergessen sind als ohnehin nicht prozeduralisierte. Es zeigt sich aber kein Unterschied hinsichtlich der Art der Handlungen und der Hinweisreize, durch die sie aufgerufen werden. KW - intentional forgetting KW - retrieval cues KW - production routine KW - intentionales Vergessen KW - Produktions-Routine KW - Hinweisreize Y1 - 2019 U6 - https://doi.org/10.1026/0932-4089/a000307 SN - 0932-4089 SN - 2190-6270 VL - 64 IS - 1 SP - 17 EP - 29 PB - Hogrefe CY - Göttingen ER - TY - JOUR A1 - Thim, Christof A1 - Ullrich, André A1 - Eigelshoven, Felix A1 - Gronau, Norbert A1 - Ritter, Ann-Carolin T1 - Crowdsourcing bei industriellen Innovationen T1 - Crowdsourcing for industrial innovations BT - Lösungsansätze und Herausforderung für KMU BT - solutions and challenges for SMEs JF - Industrie 4.0 Management : Gegenwart und Zukunft industrieller Geschäftsprozesse N2 - Die Innovationstätigkeit im industriellen Umfeld verlagert sich durch die Digitalisierung hin zu Produkt-Service-Systemen. Kleine und mittlere Unternehmen haben sich in ihrer Entwicklungstätigkeit bisher stark auf die Produktentwicklung bezogen. Der Umstieg auf „smarte“ Produkte und die Kopplung an Dienstleistungen erfordert häufig personelle und finanzielle Ressourcen, welche KMU nicht aufbringen können. Crowdsourcing stellt eine Möglichkeit dar, den Innovationsprozess für externe Akteure zu öffnen und Kosten- sowie Geschwindigkeitsvorteile zu realisieren. Bei der Integration von Crowdsourcing-Elementen ist jedoch einigen Herausforderungen zu begegnen. Dieser Beitrag zeigt sowohl die Potenziale als auch die Barrieren einer Crowdsourcing-Nutzung im industriellen Umfeld auf. N2 - Innovation activity in the industrial environment is shifting towards product-service systems as a result of digitalisation. Small and medium-sized enterprises have so far focused their development activities strongly on product development. The switch to “smart” products and the coupling to services often requires personnel and financial resources that SMEs cannot provide. Crowdsourcing is one way of opening up the innovation process to external actors and realising cost and speed advantages. However, the integration of crowdsourcing elements faces several challenges. This article shows both the potentials and the barriers of crowdsourcing in the industrial environment. KW - Crowdsourcing KW - industrielle Innovationen KW - KMU KW - industrial innovation KW - SMEs Y1 - 2020 U6 - https://doi.org/10.30844/I40M_20-6_S9-13 SN - 2364-9208 VL - 36 IS - 6 SP - 9 EP - 13 PB - GITO mbH Verlag CY - Berlin ER - TY - JOUR A1 - Thim, Christof A1 - Ullrich, André A1 - Gronau, Norbert T1 - Process model driven learning scenario implementation JF - Procedia manufacturing N2 - The implementation of learning scenarios is a diversely challenging, frequently purely manual and effortful undertaking. In this contribution a process based view is used in scenario generation to overcome communication, coordination and technical gaps. A framework is provided to identify, define and integrate technological artefacts and learning content as modular, reusable building blocks along a modeled production process. The specific contribution is twofold: 1) the theoretical framework represents a unique basis for modularization of content and technology in order to enhance reusability, 2) the model based scenario definition is a starting point for automated implementation of learning scenarios in industrial learning environments that has not been created before. KW - learning factories KW - learning scenario implementation KW - process modelling Y1 - 2020 U6 - https://doi.org/10.1016/j.promfg.2020.04.071 SN - 2351-9789 VL - 45 SP - 522 EP - 527 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Ullrich, André A1 - Teichmann, Malte A1 - Gronau, Norbert T1 - Fast trainable capabilities in software engineering-skill development in learning factories JF - Ji suan ji jiao yu = Computer Education / Qing hua da xue N2 - The increasing demand for software engineers cannot completely be fulfilled by university education and conventional training approaches due to limited capacities. Accordingly, an alternative approach is necessary where potential software engineers are being educated in software engineering skills using new methods. We suggest micro tasks combined with theoretical lessons to overcome existing skill deficits and acquire fast trainable capabilities. This paper addresses the gap between demand and supply of software engineers by introducing an actionoriented and scenario-based didactical approach, which enables non-computer scientists to code. Therein, the learning content is provided in small tasks and embedded in learning factory scenarios. Therefore, different requirements for software engineers from the market side and from an academic viewpoint are analyzed and synthesized into an integrated, yet condensed skills catalogue. This enables the development of training and education units that focus on the most important skills demanded on the market. To achieve this objective, individual learning scenarios are developed. Of course, proper basic skills in coding cannot be learned over night but software programming is also no sorcery. KW - learning factory KW - programming skills KW - software engineering KW - training Y1 - 2021 U6 - https://doi.org/10.16512/j.cnki.jsjjy.2020.12.002 SN - 1672-5913 IS - 12 SP - 2 EP - 10 PB - [Verlag nicht ermittelbar] CY - Bei jing shi ER - TY - JOUR A1 - Vladova, Gergana A1 - Wotschack, Philip A1 - Lareiro, Patricia de Paiva A1 - Gronau, Norbert A1 - Thim, Christof T1 - Lernen mit Assistenzsystemen T1 - Learning with assistance systems BT - vor lauter Aufgaben den Prozess nicht sehen? BT - not seeing the process for the tasks? JF - Industrie 4.0 Management : Gegenwart und Zukunft industrieller Geschäftsprozesse N2 - Der Beitrag beschreibt die Konzeption und Durchführung und bietet einen Einblick in die ersten Ergebnisse einer Untersuchung mit experimentellem Design in einer simulierten Prozessumgebung im Forschungs- und Anwendungszentrum Industrie 4.0 in Potsdam. Im Mittelpunkt stehen Anlernprozesse im Bereich der Einfacharbeit (Helfertätigkeiten) und ihre Gestaltung durch den Einsatz digitaler Assistenzsysteme. In der Arbeitsforschung finden sich Hinweise darauf, dass mit dem Einsatz dieser Systeme Prozesswissen verloren geht, im Sinne einer guten Kenntnis des gesamten Arbeitsprozesses, in den die einzelnen Tätigkeiten eingebettet sind. Das kann sich als Problem erweisen, vor allem wenn unvorhersehbare Situationen oder Fehler eintreten. Um die Rolle von Prozesswissen beim Einsatz von digitalen Assistenzsystemen zu untersuchen, wird im Experiment eine echte Fabriksituation simuliert. Die Probanden werden über ein Assistenzsystem Schritt für Schritt in ihre Aufgabentätigkeit angelernt, einem Teil der Probanden wird allerdings am Anfang zusätzlich Prozesswissen im Rahmen einer kurzen Schulung vermittelt. N2 - The paper describes the conception and implementation as well as offers an insight into the first results of a study with experimental design in a simulated process environment at the Research and Application Center Industry 4.0 in Potsdam. The focus is on learning processes in the field of simple work and their organization through the use of digital assistance systems. In labour research, there are indications that process knowledge is lost with the use of these systems, in the sense of a good knowledge of the entire work process in which the individual activities are embedded. To investigate the role of process knowledge in the use of digital assistance systems, a real factory situation is simulated in the experiment. KW - Assistenzsysteme KW - Industrie 4.0 KW - Prozesswissen KW - Lernfabrik KW - assistance systems KW - industry 4.0 KW - process knowledge KW - learning factory Y1 - 2020 U6 - https://doi.org/10.30844/I40M_20-3_S16-20 SN - 2364-9208 VL - 36 IS - 3 SP - 16 EP - 20 PB - GITO mbH Verlag CY - Berlin ER - TY - JOUR A1 - Schüffler, Arnulf A1 - Thim, Christof A1 - Haase, Jennifer A1 - Gronau, Norbert A1 - Kluge, Annette T1 - Willentliches Vergessen T1 - Intentional forgetting - precondition for flexibility and adaptivity in a permanent changing world BT - Voraussetzung für Flexibilität und Veränderungsfähigkeit in einer sich permanent verändernden Welt JF - Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO) N2 - Dieser Beitrag im Journal Gruppe. Interaktion. Organisation. stellt dar, wie willentliches Vergessen die Anpassung an notwendige Veränderungen für Individuen, Gruppen und Organisationen verbessert und wie willentliches Vergessen bewusst und gezielt gestaltet werden kann. Damit Verhalten in Folge einer notwendigen Veränderung angepasst wird, reicht es nicht aus, dass Menschen wissen was zu tun ist, willens und in der Lage sind ihr Verhalten zu verändern. Eine Veränderung gelingt nur dann, wenn nur noch das neue Verhalten zur Anwendung kommt und nicht mehr das Alte, wenn das alte Verhalten vergessen wird. Der notwendige Prozess des willentlichen Vergessens ist durch Entfernen von Hinweisreizen, die die Erinnerung des zu Vergessenden und durch Platzierung von Hinweisreizen, die die Aktivierung des Neuen auslösen, gestaltbar. Der vorliegende Beitrag stellt die förderliche Wirkung von Hinweisreizen auf willentliches Vergessen dar, stellt sie im Rahmen des Berichts einer experimentellen Studie unter Beweis und gibt praktische Implikationen, wie für Individuen, Gruppen und Organisationen willentliches Vergessen gestaltet werden kann. N2 - This paper in the journal Gruppe. Interaktion. Organisation. illustrates how intentional forgetting can improve the adaptation to necessary changes for individuals, groups and organizations, and how intentional forgetting can be consciously and purposefully designed.In order for behavior to be adapted as aresult of necessary change, it is not enough for people to know what to do, to be willing and able to change their behavior. Achange succeeds only if the new behavior is activated and not the old one, if the old behavior is forgotten. The necessary process of intentional forgetting can be designed by removing cues that retrieve memory items to be forgotten and placing cues that trigger the retrieval of the new.This paper presents the beneficial effects of cues on intentional forgetting, proves them in the context of areport of an experimental study and gives practical implications on how to design intentional forgetting for individuals, groups and organizations. KW - Intentional forgetting KW - Retrieval cues KW - Change KW - Adaptation KW - Behavior KW - Willentliches Vergessen KW - Hinweisreize KW - Veränderung KW - Anpassung KW - Verhalten Y1 - 2019 U6 - https://doi.org/10.1007/s11612-019-00466-0 SN - 2366-6145 SN - 2366-6218 VL - 50 IS - 2 SP - 197 EP - 209 PB - Springer CY - Wiesbaden ER - TY - JOUR A1 - Panzer, Marcel A1 - Bender, Benedict A1 - Gronau, Norbert T1 - A deep reinforcement learning based hyper-heuristic for modular production control JF - International journal of production research N2 - In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios. KW - production control KW - modular production KW - multi-agent system KW - deep reinforcement learning KW - deep learning KW - multi-objective optimisation Y1 - 2023 U6 - https://doi.org/10.1080/00207543.2023.2233641 SN - 0020-7543 SN - 1366-588X SN - 0278-6125 SP - 1 EP - 22 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Adelhelm, Silvia A1 - Braun, Andreas A1 - Gronau, Norbert A1 - Lürig, Detlef A1 - Müller, Elisabeth A1 - Vladova, Gergana A1 - Wagner, Dieter T1 - Mit Open Innovation zum Erfolg BT - So verbessern mittelständische Pharmaunternehmen ihre Innovationsprozesse JF - Handbuch prozessorientiertes Wissensmanagment Y1 - 2014 SN - 978-3-95545-026-7 SP - 211 EP - 226 PB - GITO CY - Berlin ER - TY - JOUR A1 - Ullrich, André A1 - Vladova, Gergana A1 - Marquart, Danny A1 - Braun, Andreas A1 - Gronau, Norbert T1 - 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 JF - International journal of innovation management : IJIM N2 - 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. KW - Open innovation KW - intermediaries KW - benefits KW - decision-making KW - experience; KW - risks Y1 - 2022 U6 - https://doi.org/10.1142/S1363919622500128 SN - 1363-9196 SN - 1757-5877 VL - 26 IS - 02 PB - World Scientific Publ. CY - Singapore ER - TY - JOUR A1 - Ullrich, André A1 - Weber, Edzard A1 - Gronau, Norbert T1 - Regionale Refabrikationsnetzwerke BT - Potenziale und Herausforderungen der lokalen Wiederaufarbeitung von Produkten JF - Industrie 4.0 Management : Gegenwart und Zukunft industrieller Geschäftsprozesse N2 - Die Herstellung von Produkten bindet Energie sowie auch materielle Ressourcen. Viel zu langsam entwickeln sich sowohl das Bewusstsein der Konsumenten sowie der Produzenten als auch gesetzgebende Aktivitäten, um zu einem nachhaltigen Umgang mit den zur Verfügung stehenden Ressourcen zu gelangen. In diesem Beitrag wird ein lokaler Remanufacturing-Ansatz vorgestellt, der es ermöglicht, den Ressourcenverbrauch zu reduzieren, lokale Unternehmen zu fördern und effiziente Lösungen für die regionale Wieder- und Weiterverwendung von Gütern anzubieten. KW - Refabrikation KW - Regionale Ansätze KW - Remanufacturing Y1 - 2023 U6 - https://doi.org/10.30844/IM_23-2_11-14 SN - 2364-9208 VL - 39 IS - 2 SP - 11 EP - 14 PB - GITO mbH Verlag CY - Berlin ER - TY - JOUR A1 - Panzer, Marcel A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Neural agent-based production planning and control BT - an architectural review JF - Journal of Manufacturing Systems N2 - 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. KW - production planning and control KW - machine learning KW - neural networks KW - systematic literature review KW - taxonomy Y1 - 2022 U6 - https://doi.org/10.1016/j.jmsy.2022.10.019 SN - 0278-6125 SN - 1878-6642 VL - 65 SP - 743 EP - 766 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Grum, Marcus A1 - Hiessl, Werner A1 - Maresch, Karl A1 - Gronau, Norbert T1 - Design of a neuronal training modeling language BT - exemplified with the AI-based dynamic GUI adaption JF - AIS-Transactions on enterprise systems N2 - As the complexity of learning task requirements, computer infrastruc- tures and knowledge acquisition for artificial neuronal networks (ANN) is in- creasing, it is challenging to talk about ANN without creating misunderstandings. An efficient, transparent and failure-free design of learning tasks by models is not supported by any tool at all. For this purpose, particular the consideration of data, information and knowledge on the base of an integration with knowledge- intensive business process models and a process-oriented knowledge manage- ment are attractive. With the aim of making the design of learning tasks express- ible by models, this paper proposes a graphical modeling language called Neu- ronal Training Modeling Language (NTML), which allows the repetitive use of learning designs. An example ANN project of AI-based dynamic GUI adaptation exemplifies its use as a first demonstration. KW - AI and business informatics KW - development of AI-based systems KW - AI-based decision support system KW - cooperative AI (human-in-the-loop) KW - process-oriented knowledge acquisition KW - modeling language Y1 - 2021 UR - https://www.aes-journal.com/index.php/ais-tes/article/view/20/18 U6 - https://doi.org/10.30844/aistes.v5i1.20 SN - 1867-7134 VL - 5 IS - 1 PB - GITO-Publ., Verl. für Industrielle Informationstechnik und Organisation CY - Berlin ER - TY - JOUR A1 - Bender, Benedict A1 - Korjahn, Nicolas A1 - Gronau, Norbert T1 - Erfolgreich auf Handelsplattformen BT - Einblicke in die Marktstudie Handelsplattformen 2023/2024 JF - ERP-Management : Auswahl, Einführung und Betrieb von ERP-Systemen N2 - Obwohl Handelsplattformen zunehmend an Bedeutung gewinnen, besteht im deutschsprachigen Raum ein Mangel an umfassenden Marktübersichten. Dadurch fehlt es Verkäufern, potenziellen Plattformbetreibern und Kunden an einer soliden Grundlage für fundierte Entscheidungen. Das ändern wir mit folgendem Beitrag. Erfahren Sie hier das Wichtigste über den rasant wachsenden Markt der Handelsplattformen. Y1 - 2024 UR - https://www.wiso-net.de/document/ERP__714baef53e6bcc9690fd3c7c72605cc171f35f62 UR - https://erp-management.de/artikel/erfolgreich-auf-handelsplattformen/ SN - 1860-6725 VL - 20 IS - 1 SP - 76 EP - 82 PB - GITO mbH - Verlag für Industrielle Informationstechnik und Organisation CY - Berlin ER - TY - JOUR A1 - Vladova, Gergana A1 - Gronau, Norbert T1 - KI-basierte Assistenzsysteme in betrieblichen Lernprozessen JF - Industrie 4.0 Management : Gegenwart und Zukunft industrieller Geschäftsprozesse N2 - Assistenzsysteme finden im Kontext der digitalen Transformation immer mehr Einsatz. Sie können Beschäftigte in industriellen Produktionsprozessen sowohl in der Anlern- als auch in der aktiven Arbeitsphase unterstützen. Kompetenzen können so arbeitsplatz- und prozessnah sowie bedarfsorientiert aufgebaut werden. In diesem Beitrag wird der aktuelle Forschungsstand zu den Einsatzmöglichkeiten dieser Assistenzsysteme diskutiert und mit Beispielen illustriert. Es werden unter anderem auch Herausforderungen für den Einsatz aufgezeigt. Am Ende des Beitrags werden Potenziale für die zukünftige Nutzung von AS in industriellen Lernprozessen und für die Forschung identifiziert. KW - KI KW - kognitive Assistenzsysteme KW - betriebliche Lernprozesse KW - Weiterbildung Y1 - 2022 U6 - https://doi.org/10.30844/I40M_22-2_11-14 SN - 2364-9216 SN - 2364-9208 VL - 38 IS - 2 SP - 11 EP - 14 PB - GITO mbH Verlag für Industrielle Informationstechnik und Organisation CY - Berlin ER - TY - JOUR A1 - Roling, Wiebke M. A1 - Grum, Marcus A1 - Gronau, Norbert A1 - Kluge, Annette T1 - The roots of errors in adaptive performance BT - clustering behavioral patterns after the introduction of a change JF - Journal of workplace learning N2 - Purpose The purpose of this study was to investigate work-related adaptive performance from a longitudinal process perspective. This paper clustered specific behavioral patterns following the introduction of a change and related them to retentivity as an individual cognitive ability. In addition, this paper investigated whether the occurrence of adaptation errors varied depending on the type of change content. Design/methodology/approach Data from 35 participants collected in the simulated manufacturing environment of a Research and Application Center Industry 4.0 (RACI) were analyzed. The participants were required to learn and train a manufacturing process in the RACI and through an online training program. At a second measurement point in the RACI, specific manufacturing steps were subject to change and participants had to adapt their task execution. Adaptive performance was evaluated by counting the adaptation errors. Findings The participants showed one of the following behavioral patterns: (1) no adaptation errors, (2) few adaptation errors, (3) repeated adaptation errors regarding the same actions, or (4) many adaptation errors distributed over many different actions. The latter ones had a very low retentivity compared to the other groups. Most of the adaptation errors were made when new actions were added to the manufacturing process. Originality/value Our study adds empirical research on adaptive performance and its underlying processes. It contributes to a detailed understanding of different behaviors in change situations and derives implications for organizational change management. KW - adaptive performance KW - behavioral patterns KW - change KW - process perspective KW - quantitative KW - retentivity KW - rype of change content Y1 - 2024 U6 - https://doi.org/10.1108/JWL-10-2023-0168 SN - 1366-5626 VL - 36 IS - 4 SP - 267 EP - 281 PB - Emerald CY - Bradford ER - TY - JOUR A1 - Grum, Marcus A1 - Gronau, Norbert T1 - The impact of knowledge characteristics on process performance BT - experimenting with the conversion perspective on knowledge transfer velocity JF - Business process management journal N2 - Purpose With shorter product cycles and a growing number of knowledge-intensive business processes, time consumption is a highly relevant target factor in measuring the performance of contemporary business processes. This research aims to extend prior research on the effects of knowledge transfer velocity at the individual level by considering the effect of complexity, stickiness, competencies, and further demographic factors on knowledge-intensive business processes at the conversion-specific levels. Design/methodology/approach We empirically assess the impact of situation-dependent knowledge transfer velocities on time consumption in teams and individuals. Further, we issue the demographic effect on this relationship. We study a sample of 178 experiments of project teams and individuals applying ordinary least squares (OLS) for regression analysis-based modeling. Findings The authors find that time consumed at knowledge transfers is negatively associated with the complexity of tasks. Moreover, competence among team members has a complementary effect on this relationship and stickiness retards knowledge transfers. Thus, while demographic factors urgently need to be considered for effective and speedy knowledge transfers, these influencing factors should be addressed on a conversion-specific basis so that some tasks are realized in teams best while others are not. Guidelines and interventions are derived to identify best task realization variants, so that process performance is improved by a new kind of process improvement method. Research limitations/implications This study establishes empirically the importance of conversion-specific influence factors and demographic factors as drivers of high knowledge transfer velocities in teams and among individuals. The contribution connects the field of knowledge management to important streams in the wider business literature: process improvement, management of knowledge resources, design of information systems, etc. Whereas the model is highly bound to the experiment tasks, it has high explanatory power and high generalizability to other contexts. Practical implications Team managers should take care to allow the optimal knowledge transfer situation within the team. This is particularly important when knowledge sharing is central, e.g. in product development and consulting processes. If this is not possible, interventions should be applied to the individual knowledge transfer situation to improve knowledge transfers among team members. Social implications Faster and more effective knowledge transfers improve the performance of both commercial and non-commercial organizations. As nowadays, the individual is faced with time pressure to finalize tasks, the deliberated increase of knowledge transfer velocity is a core capability to realize this goal. Quantitative knowledge transfer models result in more reliable predictions about the duration of knowledge transfers. These allow the target-oriented modification of knowledge transfer situations so that processes speed up, private firms are more competitive and public services are faster to citizens. Originality/value Time consumption is an increasingly relevant factor in contemporary business but so far not been explored in experiments at all. This study extends current knowledge by considering quantitative effects on knowledge velocity and improved knowledge transfers. KW - knowledge transfer KW - time consumption KW - knowledge transfer velocity KW - knowledge KW - experimentation KW - process improvement KW - process simulation KW - process design Y1 - 2024 U6 - https://doi.org/10.1108/BPMJ-10-2023-0853 SN - 1463-7154 VL - 30 IS - 4 SP - 1088 EP - 1110 PB - Emerald CY - Bingley ER -