TY - CHAP A1 - Gronau, Norbert A1 - Rojahn, Marcel ED - Leupold, Andreas ED - Wiebe, Andreas ED - Glossner, Silke T1 - Das Industrial Internet of Things (IIOT) T2 - IT-Recht : Recht, Wirtschaft und Technik der digitalen Transformation Y1 - 2021 UR - https://beck-online.beck.de/Bcid/Y-400-W-LeupoldGlossnerHdbITR-GL-Teil10-1 SN - 978-3-406-74458-7 SP - 1115 EP - 1124 PB - C.H. Beck CY - München ET - 4., überarbeitet und erweitert ER - TY - CHAP A1 - Gronau, Norbert A1 - Weber, Edzard A1 - Wander, Paul A1 - Ullrich, André ED - Plapper, Peter T1 - A regional remanufacturing network approach BT - modeling and simulation of circular economy processes in the era of industry 4.0 T2 - Digitization of the work environment for sustainable production N2 - 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. KW - regional network KW - remanufacturing KW - scenario modeling Y1 - 2022 SN - 978-3-95545-407-4 U6 - https://doi.org/10.30844/WGAB_2022_8 SP - 145 EP - 170 PB - GITO Verlag CY - Berlin ER - TY - CHAP A1 - Gronau, Norbert ED - Shishkov, Boris T1 - Modeling the handling of knowledge for Industry 4.0 T2 - Business modeling and software design : 11th International Symposium, BMSD 2021, Sofia, Bulgaria, July 5–7, 2021, Proceedings N2 - Industry 4.0, i.e. the connection of cyber-physical systems via the Internet in production and logistics, leads to considerable changes in the socio-technical system of the factory. The effects range from a considerable need for further training, which is exacerbated by the current shortage of skilled workers, to an opening of the previously inaccessible boundaries of the factory to third-party access, an increasing merging of office IT and manufacturing IT, and a new understanding of what machines can do with their data. This results in new requirements for the modeling, analysis and design of information processing and performance mapping business processes. In the past, procedures were developed under the name of “process-oriented knowledge management” with which the exchange and use of knowledge in business processes could be represented, analyzed and improved. However, these approaches were limited to the office environment. A method that makes it possible to document, analyze and jointly optimize the new possibilities of knowledge processing by using artificial intelligence and machine learning in production and logistics in the same way and in a manner compatible with the approach in the office environment does not exist so far. The extension of the modeling language KMDL, which is described in this paper, will contribute to close this research gap. This paper describes first approaches for an analysis and design method for a knowledge management integrating man and machine in the age of Industry 4.0. KW - 4th industrial revolution KW - knowledge management KW - business process management Y1 - 2021 SN - 978-3-030-79975-5 SN - 978-3-030-79976-2 U6 - https://doi.org/10.1007/978-3-030-79976-2_12 VL - 422 SP - 207 EP - 223 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Grum, Marcus A1 - Kotarski, David A1 - Ambros, Maximilian A1 - Biru, Tibebu A1 - Krallmann, Hermann A1 - Gronau, Norbert ED - Shishkov, Boris T1 - Managing knowledge of intelligent systems BT - the design of a chatbot using domain-specific knowledge T2 - Business modeling and software design : 11th International Symposium, BMSD 2021, Sofia, Bulgaria, July 5–7, 2021, Proceedings N2 - Since more and more business tasks are enabled by Artificial Intelligence (AI)-based techniques, the number of knowledge-intensive tasks increase as trivial tasks can be automated and non-trivial tasks demand human-machine interactions. With this, challenges regarding the management of knowledge workers and machines rise [9]. Furthermore, knowledge workers experience time pressure, which can lead to a decrease in output quality. Artificial Intelligence-based systems (AIS) have the potential to assist human workers in knowledge-intensive work. By providing a domain-specific language, contextual and situational awareness as well as their process embedding can be specified, which enables the management of human and AIS to ease knowledge transfer in a way that process time, cost and quality are improved significantly. This contribution outlines a framework to designing these systems and accounts for their implementation. KW - domain-specific language KW - morphologic box KW - explainability Y1 - 2021 SN - 978-3-030-79975-5 SN - 978-3-030-79976-2 U6 - https://doi.org/10.1007/978-3-030-79976-2_5 VL - 422 SP - 78 EP - 96 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Grum, Marcus A1 - Gronau, Norbert ED - Shishkov, Boris T1 - Quantification of knowledge transfers BT - the design of an experiment setting for the examination of knowledge transfers T2 - Business modeling and software design : 11th International Symposium, BMSD 2021, Sofia, Bulgaria, July 5–7, 2021, Proceedings N2 - Faced with the triad of time-cost-quality, the realization of knowledge-intensive tasks at economic conditions is not trivial. Since the number of knowledge-intensive processes is increasing more and more nowadays, the efficient design of knowledge transfers at business processes as well as the target-oriented improvement of them is essential, so that process outcomes satisfy high quality criteria and economic requirements. This particularly challenges knowledge management, aiming for the assignment of ideal manifestations of influence factors on knowledge transfers to a certain task. Faced with first attempts of knowledge transfer-based process improvements [1], this paper continues research about the quantitative examination of knowledge transfers and presents a ready-to-go experiment design that is able to examine quality of knowledge transfers empirically and is suitable to examine knowledge transfers on a quantitative level. Its use is proven by the example of four influence factors, which namely are stickiness, complexity, competence and time pressure. KW - knowledge management KW - knowledge transfer KW - conversion KW - empirical examination KW - experiment Y1 - 2021 SN - 978-3-030-79975-5 SN - 978-3-030-79976-2 U6 - https://doi.org/10.1007/978-3-030-79976-2_13 VL - 422 SP - 224 EP - 242 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Gronau, Norbert ED - Shishkov, Boris T1 - Errors in the process of modeling business processes T2 - Business modeling and software design : 12th International Symposium, BMSD 2022, Fribourg, Switzerland, June 27–29, 2022, proceedings N2 - 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? KW - business process modeling KW - errors in modeling KW - process of modeling Y1 - 2022 SN - 978-3-031-11509-7 SN - 978-3-031-11510-3 SN - 978-3-031-11511-0 U6 - https://doi.org/10.1007/978-3-031-11510-3_13 VL - 453 SP - 221 EP - 229 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Langemeyer, Ines A1 - Gronau, Norbert A1 - Schmid-Walz, Sabrina A1 - Kotarski, David A1 - Reimann, Daniela A1 - Teichmann, Malte T1 - From employee to expert BT - towards a corona-sensitive approach for data collection T2 - 2021 Crossing Boundaries Muttenz/Basel and Bern : 4th International VET Conference Crossing Boundaries 8 to 9 April 2021, online, Muttenz and Bern, Switzerland N2 - In the context of the collaborative project Ageing-appropriate, process-oriented and interactive further training in SME (API-KMU), innovative solutions for the challenges of demographic change and digitalisation are being developed for SMEs. To this end, an approach to age-appropriate training will be designed with the help of AR technology. In times of the corona pandemic, a special research design is necessary for the initial survey of the current state in the companies, which will be systematically elaborated in this paper. The results of the previous methodological considerations illustrate the necessity of a mix of methods to generate a deeper insight into the work processes. Video-based retrospective interviews seem to be a suitable instrument to adequately capture the employees' interpretative perspectives on their work activities. In conclusion, the paper identifies specific challenges, such as creating acceptance among employees, open questions, e.g., how a transfer or generalization of the results can succeed, and hypotheses that will have to be tested in the further course of the research process. KW - cross self-confrontation KW - recording of workplaces KW - corona-sensitive data collection KW - age-appropriate vocational training KW - augmented reality Y1 - 2021 U6 - https://doi.org/10.5281/zenodo.4590196 SP - 226 EP - 231 ER - TY - CHAP A1 - Gronau, Norbert A1 - Teichmann, Malte A1 - Weber, Edzard ED - Shishkov, Boris T1 - Serious game-based haptic modeling BT - an application-oriented approach for sequentially developing new business models from tacit knowledge T2 - Business modeling and software design N2 - The authors propose that while tacit knowledge is a valuable resource for developing new business models, its externalization presents several challenges. One major challenge is that individuals often don’t recognize their tacit knowledge resources, while another is the reluctance to share one’s knowledge with others. Addressing these challenges, the authors present an application-oriented serious game-based haptic modeling approach for externalize tacit knowledge, which can be used to develop the first versions of business models based on tacit knowledge. Both conceptual and practical design fundamentals are presented based on elaborated theoretical approaches, which were developed with the help of a design science approach. The development of the research process is presented step by step, whereby we focused on the high accessibility of the presented research. Practitioners are presented with guidelines for implementing their serious game projects. Scientists benefit from starting points for their research topics of externalization, internalization, and socialization of tacit knowledge, development of business models, and serious games or gamification. The paper concludes with open research desiderata and questions from the presented research process. KW - serious game KW - tacit knowledge KW - business model KW - SECI-model KW - conversion sequences KW - design science Y1 - 2023 SN - 978-3-031-36756-4 U6 - https://doi.org/10.1007/978-3-031-36757-1_3 SP - 32 EP - 55 PB - Springer Nature CY - Cham ER - TY - CHAP A1 - Gronau, Norbert ED - Freitag, Michael T1 - Modellieren des Umgangs mit Wissen für Industrie 4.0 T2 - Mensch-Technik-Interaktion in der digitalisierten Arbeitswelt Y1 - 2020 SN - 978-3-95545-353-4 U6 - https://doi.org/10.30844/wgab_2020 SP - 79 EP - 101 PB - GITO mbH Verlag CY - Berlin ER - TY - CHAP A1 - Grum, Marcus A1 - Gronau, Norbert ED - Shishkov, Boris T1 - Adaptable knowledge-driven information systems improving knowledge transfers BT - design of context-sensitive, AR-enabled furniture assemblies T2 - Business modeling and software design : 10th International Symposium, BMSD 2020, Berlin, Germany, July 6-8, 2020, Proceedings N2 - A growing number of business processes can be characterized as knowledge-intensive. The ability to speed up the transfer of knowledge between any kind of knowledge carriers in business processes with AR techniques can lead to a huge competitive advantage, for instance in manufacturing. This includes the transfer of person-bound knowledge as well as externalized knowledge of physical and virtual objects. The contribution builds on a time-dependent knowledge transfer model and conceptualizes an adaptable, AR-based application. Having the intention to accelerate the speed of knowledge transfers between a manufacturer and an information system, empirical results of an experimentation show the validity of this approach. For the first time, it will be possible to discover how to improve the transfer among knowledge carriers of an organization with knowledge-driven information systems (KDIS). Within an experiment setting, the paper shows how to improve the quantitative effects regarding the quality and amount of time needed for an example manufacturing process realization by an adaptable KDIS. KW - augmented reality KW - knowledge transfers KW - empirical studies KW - context-aware computing KW - adaptable software systems KW - business process improvement Y1 - 2020 SN - 978-3-030-52305-3 SN - 978-3-030-52306-0 U6 - https://doi.org/10.1007/978-3-030-52306-0_13 VL - 391 SP - 202 EP - 220 PB - Springer International Publishing CY - Cham ER -