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 - GEN A1 - Ullrich, André A1 - Weber, Edzard A1 - Gronau, Norbert T1 - Regionale Refabrikationsnetzwerke BT - Potenziale und Herausforderungen der lokalen Wiederaufarbeitung von Produkten T2 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe 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. T3 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 183 KW - Refabrikation KW - Regionale Ansätze KW - Remanufacturing Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-604510 SN - 2364-9208 SN - 1867-5808 IS - 2 ER - TY - CHAP A1 - Thim, Christof A1 - Gronau, Norbert A1 - Haase, Jennifer A1 - Grum, Marcus A1 - Schüffler, Arnulf A1 - Roling, Wiebke A1 - Kluge, Annette ED - Shishkov, Boris T1 - Modeling change in business processes T2 - Business modeling and software design N2 - Business processes are regularly modified either to capture requirements from the organization’s environment or due to internal optimization and restructuring. Implementing the changes into the individual work routines is aided by change management tools. These tools aim at the acceptance of the process by and empowerment of the process executor. They cover a wide range of general factors and seldom accurately address the changes in task execution and sequence. Furthermore, change is only framed as a learning activity, while most obstacles to change arise from the inability to unlearn or forget behavioural patterns one is acquainted with. Therefore, this paper aims to develop and demonstrate a notation to capture changes in business processes and identify elements that are likely to present obstacles during change. It connects existing research from changes in work routines and psychological insights from unlearning and intentional forgetting to the BPM domain. The results contribute to more transparency in business process models regarding knowledge changes. They provide better means to understand the dynamics and barriers of change processes. KW - intentional forgetting KW - routines KW - business processes KW - unlearning Y1 - 2023 SN - 978-3-031-36756-4 SN - 978-3-031-36757-1 U6 - https://doi.org/10.1007/978-3-031-36757-1_1 SP - 3 EP - 17 PB - Springer Nature CY - Cham ER - TY - JOUR A1 - Teichmann, Malte A1 - Vladova, Gergana A1 - Gronau, Norbert T1 - Conception of subject-oriented learning BT - ameso-didactic design framework for learning scenarios for manufacturing JF - SSRN eLibrary / Social Science Research Network N2 - Competence development must change at all didactic levels to meet the new requirements triggered by digitization. Unlike classic learning theories and the resulting popular approaches (e.g., sender-receiver model), future-oriented vocational training must include new learning theory impulses in the discussion about competence acquisition. On the one hand, these impulses are often very well elaborated on the theoretical side, but the transfer into innovative learning environments - such as learning factories - is often still missing. On the other hand, actual learning factory (design) approaches often concentrate primarily on the technical side. Subject-oriented learning theory enables the design of competence development-oriented vocational training projectsin learning factories in which persons can obtain relevant competencies for digitization. At the same time, such learning theory approaches assume a potentially infinite number of learning interests and reasons. Following this, competence development is always located in an institutional or organizational context. The paper conceptionally answers how this theoryimmanent challenge is synthesizable with the reality of organizationally competence development requirements. KW - subject-oriented learning KW - learning scenario for manufacturing KW - didactic framework KW - action problems KW - didactic concept Y1 - 2023 U6 - https://doi.org/10.2139/ssrn.4457995 SN - 1556-5068 PB - Social Science Electronic Publ. CY - [Erscheinungsort nicht ermittelbar] ER - TY - CHAP A1 - Teichmann, Malte A1 - Busse, Jana A1 - Gonnermann, Jana A1 - Reimann, Daniela A1 - Ritterbusch, Georg David A1 - Langemeyer, Ines A1 - Gronau, Norbert ED - Nitsch, Verena ED - Brandl, Christopher ED - Häußling, Roger ED - Roth, Philip ED - Gries, Thomas ED - Schmenk, Bernhard T1 - Konzeption, Erstellung und Evaluation von VR-Räumen für die betriebliche Weiterbildung in KMU BT - Erfahrungen und Handlungsempfehlungen aus dem Forschungsprojekt API-KMU T2 - Digitalisierung der Arbeitswelt im Mittelstand 3 N2 - Der Beitrag adressiert die Erstellung von Virtual-Reality gestützten (Lehr- und Lern-) Räumen für die betriebliche Weiterbildung im Rahmen eines Forschungsprojektes. Der damit verbundene Konzeptions- und Umsetzungsprozess ist mit verschiedenen Herausforderungen verbunden: einerseits ist Virtual-Reality ein vergleichsweise neues Lehr- und Lernmedium, womit wenig praktische Handreichungen zur praktischen Umsetzung existieren. Andererseits existieren theoretisch-konzeptionelle Ansätze zur Gestaltung digitaler Lehr- und Lernarrangements, die jedoch 1) oft Gefahr laufen, an den realen Bedürfnissen der Praxis „vorbei“ zu gehen und 2) zumeist nicht konkret Virtual-Reality bzw. damit verbundene Lehr- und Lernumgebungen adressieren. In dieser Folge sind Best-Practice Beispiele basierend auf erfolgreichen Umsetzungsvorhaben, die nachfolgenden Projekten als „Wegweiser“ dienen könnten, äußerst rar. Der Beitrag setzt an dieser Stelle an: basierend auf zwei real existierenden betrieblichen Anwendungsfällen aus den Bereichen Natursteinbearbeitung sowie Einzel- und Sondermaschinenbau werden Herausforderungen und Lösungswege des Erstellungsprozesses von Virtual-Reality gestützten (Lehr- und Lern-)Räumen beschrieben. Ebenfalls werden basierend auf den gemachten Projekterfahrungen Handlungsempfehlungen für die gelingende Konzeption, Umsetzung und Evaluation dieser Räume formuliert. Betriebliche Beschäftigte aus den Bereichen Aus- und Weiterbildung, Management oder Human Ressources, die in eigenen Projekten im Bereich Virtual Reality aktiv werden wollen, profitieren von den herausgestellten praktischen Handreichungen. Forschende Personen sollen Anregungen für weiterführende Forschungsvorhaben erhalten. Y1 - 2023 SN - 978-3-662-67023-1 SN - 978-3-662-67024-8 U6 - https://doi.org/10.1007/978-3-662-67024-8_5 SP - 155 EP - 204 PB - Springer Vieweg CY - Berlin ER - TY - JOUR A1 - Rojahn, Marcel A1 - Weber, Edzard A1 - Gronau, Norbert T1 - Towards a standardization in scheduling models BT - assessing the variety of homonyms JF - International journal of industrial and systems engineering N2 - Terminology is a critical instrument for each researcher. Different terminologies for the same research object may arise in different research communities. By this inconsistency, many synergistic effects get lost. Theories and models will be more understandable and reusable if a common terminology is applied. This paper examines the terminological (in)consistence for the research field of job-shop scheduling by a literature review. There is an enormous variety in the choice of terms and mathematical notation for the same concept. The comparability, reusability and combinability of scheduling methods is unnecessarily hampered by the arbitrary use of homonyms and synonyms. The acceptance in the community of used variables and notation forms is shown by means of a compliance quotient. This is proven by the evaluation of 240 scientific publications on planning methods. KW - job-shop scheduling KW - JSP KW - terminology KW - notation KW - standardization Y1 - 2023 UR - https://publications.waset.org/10013137/pdf SN - 1748-5037 SN - 1748-5045 VL - 17 IS - 6 SP - 401 EP - 408 PB - Inderscience Enterprises CY - Genève ER - TY - CHAP A1 - Rojahn, Marcel A1 - Gronau, Norbert T1 - Digital platform concepts for manufacturing companies BT - a review T2 - 10th International Conference on Future Internet of Things and Cloud (FiCloud) N2 - Digital Platforms (DPs) has established themself in recent years as a central concept of the Information Technology Science. Due to the great diversity of digital platform concepts, clear definitions are still required. Furthermore, DPs are subject to dynamic changes from internal and external factors, which pose challenges for digital platform operators, developers and customers. Which current digital platform research directions should be taken to address these challenges remains open so far. The following paper aims to contribute to this by outlining a systematic literature review (SLR) on digital platform concepts in the context of the Industrial Internet of Things (IIoT) for manufacturing companies and provides a basis for (1) a selection of definitions of current digital platform and ecosystem concepts and (2) a selection of current digital platform research directions. These directions are diverted into (a) occurrence of digital platforms, (b) emergence of digital platforms, (c) evaluation of digital platforms, (d) development of digital platforms, and (e) selection of digital platforms. Y1 - 2023 SN - 979-8-3503-1635-3 U6 - https://doi.org/10.1109/FiCloud58648.2023.00030 SP - 149 EP - 158 PB - IEEE CY - [Erscheinungsort nicht ermittelbar] ER - TY - CHAP A1 - Rojahn, Marcel A1 - Ambros, Maximilian A1 - Biru, Tibebu A1 - Krallmann, Hermann A1 - Gronau, Norbert A1 - Grum, Marcus ED - Rutkowski, Leszek ED - Scherer, Rafał ED - Korytkowski, Marcin ED - Pedrycz, Witold ED - Tadeusiewicz, Ryszard ED - Zurada, Jacek M. T1 - Adequate basis for the data-driven and machine-learning-based identification T2 - Artificial intelligence and soft computing N2 - Process mining (PM) has established itself in recent years as a main method for visualizing and analyzing processes. However, the identification of knowledge has not been addressed adequately because PM aims solely at data-driven discovering, monitoring, and improving real-world processes from event logs available in various information systems. The following paper, therefore, outlines a novel systematic analysis view on tools for data-driven and machine learning (ML)-based identification of knowledge-intensive target processes. To support the effectiveness of the identification process, the main contributions of this study are (1) to design a procedure for a systematic review and analysis for the selection of relevant dimensions, (2) to identify different categories of dimensions as evaluation metrics to select source systems, algorithms, and tools for PM and ML as well as include them in a multi-dimensional grid box model, (3) to select and assess the most relevant dimensions of the model, (4) to identify and assess source systems, algorithms, and tools in order to find evidence for the selected dimensions, and (5) to assess the relevance and applicability of the conceptualization and design procedure for tool selection in data-driven and ML-based process mining research. KW - data mining KW - knowledge engineering KW - various applications Y1 - 2023 SN - 978-3-031-42504-2 SN - 978-3-031-42505-9 U6 - https://doi.org/10.1007/978-3-031-42505-9_48 SP - 570 EP - 588 PB - Springer CY - Cham ER - TY - GEN A1 - Panzer, Marcel A1 - Bender, Benedict A1 - Gronau, Norbert T1 - A deep reinforcement learning based hyper-heuristic for modular production control T2 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe 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. T3 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 173 KW - production control KW - modular production KW - multi-agent system KW - deep reinforcement learning KW - deep learning KW - multi-objective optimisation Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-605642 SN - 1867-5808 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 - CHAP A1 - Klippert, Monika A1 - Stolpmann, Robert A1 - Grum, Marcus A1 - Thim, Christof A1 - Gronau, Norbert A1 - Albers, Albert T1 - Knowledge transfer quality improvement BT - the quality enhancement of knowledge transfers in product engineering T2 - Procedia CIRP N2 - Developing a new product generation requires the transfer of knowledge among various knowledge carriers. Several factors influence knowledge transfer, e.g., the complexity of engineering tasks or the competence of employees, which can decrease the efficiency and effectiveness of knowledge transfers in product engineering. Hence, improving those knowledge transfers obtains great potential, especially against the backdrop of experienced employees leaving the company due to retirement, so far, research results show, that the knowledge transfer velocity can be raised by following the Knowledge Transfer Velocity Model and implementing so-called interventions in a product engineering context. In most cases, the implemented interventions have a positive effect on knowledge transfer speed improvement. In addition to that, initial theoretical findings describe factors influencing the quality of knowledge transfers and outline a setting to empirically investigate how the quality can be improved by introducing a general description of knowledge transfer reference situations and principles to measure the quality of knowledge artifacts. To assess the quality of knowledge transfers in a product engineering context, the Knowledge Transfer Quality Model (KTQM) is created, which serves as a basis to develop and implement quality-dependent interventions for different knowledge transfer situations. As a result, this paper introduces the specifications of eight situation-adequate interventions to improve the quality of knowledge transfers in product engineering following an intervention template. Those interventions are intended to be implemented in an industrial setting to measure the quality of knowledge transfers and validate their effect. KW - knowledge transfer KW - product generation engineering KW - improvement KW - quality KW - intervention Y1 - 2023 U6 - https://doi.org/10.1016/j.procir.2023.02.171 SN - 2212-8271 VL - 119 SP - 919 EP - 925 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Haase, Jennifer A1 - Hanel, Paul H. P. A1 - Gronau, Norbert T1 - Creativity enhancement methods for adults BT - a meta-analysis JF - Psychology of aesthetics, creativity, and the arts N2 - This meta-analysis synthesizes 332 effect sizes of various methods to enhance creativity. We clustered all studies into 12 methods to identify the most effective creativity enhancement methods. We found that, on average, creativity can be enhanced, Hedges’ g = 0.53, 95% CI [0.44, 0.61], with 70.09% of the participants in the enhancement conditions being more creative than the average person in the control conditions. Complex training courses, meditation, and cultural exposure were the most effective (gs = 0.66) while the use of cognitive manipulation drugs was the least and also noneffective, g = 0.10. The type of training material was also important. For instance, figural methods were more effective in enhancing creativity, and enhancing converging thinking was more effective than enhancing divergent thinking. Study effect sizes varied considerably across all studies and for many subgroup analyses, suggesting that researchers can plausibly expect to find reversed effects occasionally. We found no evidence of publication bias. We discuss theoretical implications and suggest future directions for best practices in enhancing creativity. (PsycInfo Database Record (c) 2023 APA, all rights reserved) KW - manipulation KW - enhancement KW - assessment KW - effectiveness KW - creativity training Y1 - 2023 U6 - https://doi.org/10.1037/aca0000557 SN - 1931-3896 SN - 1931-390X PB - American Psychological Association CY - Washington, DC ER - TY - CHAP A1 - Grum, Marcus A1 - Thim, Christof A1 - Roling, Wiebke A1 - Schüffler, Arnulf A1 - Kluge, Annette A1 - Gronau, Norbert ED - Masrour, Tawfik ED - El Hassani, Ibtissam ED - Barka, Noureddine T1 - AI case-based reasoning for artificial neural networks T2 - Artificial intelligence and industrial applications N2 - Faced with the triad of time-cost-quality, the realization of production tasks under economic conditions is not trivial. Since the number of Artificial-Intelligence-(AI)-based applications in business processes is increasing more and more nowadays, the efficient design of AI cases for production processes as well as their target-oriented improvement is essential, so that production outcomes satisfy high quality criteria and economic requirements. Both challenge production management and data scientists, aiming to assign ideal manifestations of artificial neural networks (ANNs) to a certain task. Faced with new attempts of ANN-based production process improvements [8], this paper continues research about the optimal creation, provision and utilization of ANNs. Moreover, it presents a mechanism for AI case-based reasoning for ANNs. Experiments clarify continuously improving ANN knowledge bases by this mechanism empirically. Its proof-of-concept is demonstrated by the example of four production simulation scenarios, which cover the most relevant use cases and will be the basis for examining AI cases on a quantitative level. KW - case-based reasoning KW - neural networks KW - industry 4.0 Y1 - 2023 SN - 978-3-031-43523-2 SN - 978-3-031-43524-9 U6 - https://doi.org/10.1007/978-3-031-43524-9_2 VL - 771 SP - 17 EP - 35 PB - Springer CY - Cham 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 - JOUR A1 - Gronau, Norbert A1 - Abendroth, Adrian A1 - Fattah-Weil, Jasmin T1 - ERP-Upgrade oder ERP-Neuauswahl? JF - Is-Report : Zeitschrift für betriebswirtschaftliche Informationssysteme N2 - Neben kleineren, meist automatisierten Update-Aktivitäten zur Fehlerbehebung und zur Steigerung der Performance von ERP-Systemen, gibt es größere Updates mit umfangreicheren Aktualisierungen und Erweiterungen der Software – auch „Updateprojekte“ oder „Upgrades“ genannt. Ein ERP-Upgrade beschreibt einen größeren Änderungsprozess, der die Nutzung neuer Technologien ermöglicht und das System mit (neuen) Geschäftsstrategien in Einklang bringt. Upgrades tragen zur Verbesserung der Software bei und sind klar zu unterscheiden von geringfügigen Änderungen innerhalb einer Version eines ERP-Systems. Y1 - 2023 SN - 1437-7942 VL - 27 IS - Sonderausgabe Mai SP - 10 EP - 14 PB - is report Online & Guides (Rauch & Weckerlein GbR) CY - München ER - TY - BOOK A1 - Gronau, Norbert T1 - Handbuch der ERP-Auswahl BT - Einfach, schnell und sicher T3 - Handbücher ERP Management Y1 - 2023 SN - 978-3-95545-410-4 PB - Gito CY - Berlin ET - 3. überarbeitete und stark erweiterte ER - TY - JOUR A1 - Gronau, Norbert T1 - Umstieg auf S/4HANA BT - oder doch auf ein anderes ERP-System? JF - ERP-Management : Auswahl, Einführung und Betrieb von ERP-Systemen N2 - Sehr viele langjährige R/3-Nutzer stehen derzeit vor der Frage, wie sie sich hinsichtlich des Upgrades auf S/4HANA entscheiden sollen. Die Wartung für R/3 endet absehbar in den nächsten Jahren, und mit S/4 kommen neue Möglichkeiten, aber auch neue Herausforderungen. Dieser Beitrag beschreibt die Entscheidungen, die bei der Prüfung eines Umstiegs auf S/4HANA getroffen werden müssen und zeigt diese am Beispiel eines Multi-Channel-Handelsunternehmens. Y1 - 2023 UR - https://www.wiso-net.de/document/BLIS__8f327521f0635ca4fd8bdec54b86580b5a5fe540 SN - 1860-6725 VL - 19 IS - 1 SP - 32 EP - 37 PB - GITO CY - Berlin ER - TY - JOUR A1 - Gronau, Norbert T1 - Geschäftsprozessorientierte Softwaresysteme BT - Planung und Anwendung JF - Handbuch IT-Management : Konzepte, Methoden, Lösungen und Arbeitshilfen für die Praxis Y1 - 2023 SN - 978-3-446-47372-0 SN - 978-3-446-47464-2 U6 - https://doi.org/10.3139/9783446474642.006 SP - 291 EP - 320 PB - Hanser CY - München ET - 8., überarbeitete Aufl. ER - TY - JOUR A1 - Gronau, Norbert T1 - Großer Marktüberblick BT - die besten ERP-Berater JF - ERP-Management : Auswahl, Einführung und Betrieb von ERP-Systemen N2 - Der Beratermarkt ist ähnlich undurchsichtig wie der ERP-Markt selbst. Daher veröffentlichen wir in dieser Ausgabe einen umfassenden Marktüberblick zu ERP-Beratungen mit 24 Unternehmen vom Spezialisten zum Generalisten, aber immer fokussiert auf das Thema ERP. Sehr spannend ist z. B. die Bandbreite der Antworten, mit der ERP-Berater den Nutzen von ERP bei der ERP-Auswahl bewerten. Auch Auswahlportale stoßen nicht überall auf große Gegenliebe. Manche Antworten mussten aus Platzgründen leider gekürzt werden. Alle Abonnenten von ERP Management finden die vollständigen Antworten zum Download im Webauftritt. KW - Digitalisierung KW - Prozessmanagement KW - Projektmanagement KW - Unternehmen KW - Unternehmensberatung KW - ERP-System Y1 - 2023 UR - https://www.wiso-net.de/document/ERP__a3f3dec7ac284053e125d43383b072d4cf95f4eb SN - 1860-6725 VL - 19 IS - 3 SP - 72 EP - 90 PB - GITO mbH Verlag CY - Berlin ER - TY - CHAP A1 - Gonnermann, Jana A1 - Brandenburger, Bonny A1 - Vladova, Gergana A1 - Gronau, Norbert ED - Bui, Tung X. T1 - To what extent can individualisation in terms of different types of mode improve learning outcomes and learner satisfaction? BT - a pre-study T2 - Proceedings of the 56th Annual Hawaii International Conference on System Sciences January 3-6, 2023 N2 - With the latest technological developments and associated new possibilities in teaching, the personalisation of learning is gaining more and more importance. It assumes that individual learning experiences and results could generally be improved when personal learning preferences are considered. To do justice to the complexity of the personalisation possibilities of teaching and learning processes, we illustrate the components of learning and teaching in the digital environment and their interdependencies in an initial model. Furthermore, in a pre-study, we investigate the relationships between the learner's ability to (digital) self-organise, the learner’s prior- knowledge learning in different variants of mode and learning outcomes as one part of this model. With this pre-study, we are taking the first step towards a holistic model of teaching and learning in digital environments. KW - advances in teaching and learning technologies KW - digital learning KW - digital teaching KW - experimental design KW - personalised learning KW - teaching and learning model Y1 - 2023 SN - 978-0-9981331-6-4 SP - 123 EP - 132 PB - Department of IT Management Shidler College of Business University of Hawaii CY - Honolulu, HI ER - TY - CHAP A1 - Bender, Benedict A1 - Gronau, Norbert A1 - Winter, Robert ED - Bui, Tung X. T1 - Minitrack introduction enterprise-level information systems BT - research minitrack T2 - Proceedings of the 56th Hawaii International Conference on System Sciences N2 - While Information Systems (IS) Research on the individual and workgroup level of analysis is omnipresent, research on the enterprise-level IS is less frequent. Even though research on Enterprise Systems and their management is established in academic associations and conference programs, enterprise-level phenomena are underrepresented. This minitrack provides a forum to integrate existing research streams that traditionally needed to be attached to other topics (such as IS management or IS governance). The minitrack received broad attention. The three selected papers address different facets of the future role of enterprise-wide IS including aspects such as carbonization, ecosystem integration, and technology-organization fit. KW - information systems research KW - enteprise-level KW - enterprise systems Y1 - 2023 SN - 978-0-9981331-6-4 SN - 2572-6862 SP - 5809 EP - 5810 PB - Hawaii International Conference on System Sciences CY - Honolulu, HI ER -