650 Management
Refine
Document Type
- Journal article (137)
- Book chapter (82)
- Conference proceeding (47)
- Book (41)
- Doctoral Thesis (5)
- Anthology (5)
- Working Paper (5)
- Review (2)
- Report (1)
Is part of the Bibliography
- yes (325)
Institute
- ESB Business School (241)
- Informatik (54)
- Texoversum (23)
- Technik (6)
- Life Sciences (2)
Publisher
- Springer (102)
- MIT Center for Information Systems Research (14)
- Erich Schmidt Verlag (11)
- Schäffer-Poeschel (11)
- Haufe (10)
- Wiley (10)
- Elsevier (9)
- Verlagsgruppe Handelsblatt (7)
- Emerald (6)
- Center for Promoting Education and Research (5)
- Shaker Verlag (5)
- Fraunhofer Verlag (4)
- IEEE (4)
- RWTH Aachen (4)
- VCW (4)
- Academy of Management (3)
- Association for Information Systems (3)
- Common Ground Publishing (3)
- Deutscher Fachverlag (3)
- Hampp (3)
- Hanser (3)
- Hochschule Reutlingen (3)
- Sage Publishing (3)
- UVK Verlagsgesellschaft (3)
- Verlag IFZ – Hochschule Luzern (3)
- Academic Conferences International (2)
- American Marketing Association (2)
- CSW-Verlag (2)
- Duncker & Humblot (2)
- Gabler (2)
- Haufe-Lexware (2)
- IGI Global (2)
- Kohlhammer (2)
- MDPI (2)
- MIT (2)
- Nomos Verlagsgesellschaft (2)
- Solutions by Handelsblatt Media Group GmbH (2)
- University of Novi Sad (2)
- VDI Fachmedien (2)
- dtv (2)
- ibidem-Verlag (2)
- medhochzwei (2)
- Access Press UK (1)
- AfM Arbeitsgemeinschaft für Marketing (1)
- BME (1)
- Baltic Management Development Association (BMDA) (1)
- Beck (1)
- Books on Demand (1)
- Bundesministerium für Bildung und Forschung (1)
- Business Perspectives (1)
- Circle International (1)
- Curran Associates Inc. (1)
- De Gruyter (1)
- Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. (1)
- Deutsche Gesellschaft für Personalführung (1)
- Dialogum GmbH (1)
- Duale Hochschule Baden-Württemberg (1)
- EuroMed Press (1)
- European Accounting Association (1)
- Fraunhofer-Verbund Innovationsforschung (1)
- Haupt (1)
- Huss-Verlag (1)
- IDL GmbH Mitte (1)
- INFORMS (1)
- IdW-Verlag (1)
- Inderscience Enterprises (1)
- International Academy of Business Disciplines (1)
- International Management Development Association (IMDA) (1)
- J. B. Metzler (1)
- MHP Management- und IT-Beratung GmbH (1)
- Marken-Institut München (1)
- Metropolis-Verlag (1)
- Middle Tennessee State University (1)
- New Business Verlag (1)
- Nova Science Publishers (1)
- Pallas Press (1)
- Pearson (1)
- Routledge (1)
- SciKA (1)
- SciKa (1)
- SciTePress (1)
- Sciamus GmbH (1)
- Scientific Research Publishing (1)
- Symposion Publishing (1)
- System Dynamics Society (1)
- TeDo-Verlag (1)
- UVK (1)
- UVW, Universitätsverlag Verlag Webler (1)
- University of Minho (1)
- Universität St. Gallen (1)
- Universität Ulm (1)
- VDE Verlag (1)
- Virtus Interpress (1)
- managerSeminare Verlags GmbH (1)
- uni-edition (1)
Automatic classification of rotating machinery defects using Machine Learning (ML) algorithms
(2020)
Electric machines and motors have been the subject of enormous development. New concepts in design and control allow expanding their applications in different fields. The vast amount of data have been collected almost in any domain of interest. They can be static; that is to say, they represent real-world processes at a fixed point of time. Vibration analysis and vibration monitoring, including how to detect and monitor anomalies in vibration data are widely used techniques for predictive maintenance in high-speed rotating machines. However, accurately identifying the presence of a bearing fault can be challenging in practice, especially when the failure is still at its incipient stage, and the signal-to-noise ratio of the monitored signal is small. The main objective of this work is to design a system that will analyze the vibration signals of a rotating machine, based on recorded data from sensors, in the time/frequency domain. As a consequence of such substantial interest, there has been a dramatic increase of interest in applying Machine Learning (ML) algorithms to this task. An ML system will be used to classify and detect abnormal behavior and recognize the different levels of machine operation modes. The proposed solution can be deployed as predictive maintenance for Industry 4.0.
Our paper gives first answers on a fundamental question: how can the design of architectures of intelligent digital systems and services be accomplished methodologically? Intelligent systems and services are the goals of many current digitalization efforts today and part of massive digital transformation efforts based on digital technologies. Digital systems and services are the foundation of digital platforms and ecosystems. Digtalization disrupts existing businesses, technologies, and economies and promotes the architecture of open environments. This has a strong impact on new value-added opportunities and the development of intelligent digital systems and services. Digital technologies such as artificial intelligence, the Internet of Things, services computing, cloud computing, big data with analytics, mobile systems, and social enterprise networks systems are important enablers of digitalization. The current publication presents our research on the architecture of intelligent digital ecosystems and products and services influenced by the service-dominant logic. We present original methodological extensions and a new reference model for digital architectures with an integral service and value perspective to model intelligent systems and services that effectively align digital strategies and architectures with artificial intelligence as main elements to support intelligent digitalization.
Enterprises are currently transforming their strategy, processes, and their information systems to extend their degree of digitalization. The potential of the Internet and related digital technologies, like Internet of Things, services computing, cloud computing, artificial intelligence, big data with analytics, mobile systems, collaboration networks, and cyber physical systems both drives and enables new business designs. Digitalization deeply disrupts existing businesses, technologies and economies and fosters the architecture of digital environments with many rather small and distributed structures. This has a strong impact for new value producing opportunities and architecting digital services and products guiding their design through exploiting a Service-Dominant Logic. The main result of the book chapter extends methods for integral digital strategies with value-oriented models for digital products and services which are defined in the framework of a multi-perspective digital enterprise architecture reference model.
Social networks, smart portable devices, Internet of Things (IoT) on base of technologies like analytics for big data and cloud services are emerging to support flexible connected products and agile services as the new wave of digital transformation. Biological metaphors of living and adaptable ecosystems with service-oriented enterprise architectures provide the foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems. We are extending Enterprise Architecture (EA) with mechanisms for flexible adaptation and evolution of information systems having distributed IoT and other micro-granular digital architecture to support next digitization products, services, and processes. Our aim is to support flexibility and agile transformation for both IT and business capabilities through adaptive digital enterprise architectures. The present research paper investigates additionally decision mechanisms in the context of multi-perspective explorations of enterprise services and Internet of Things architectures by extending original enterprise architecture reference models with state of art elements for architectural engineering and digitization.
An operation room is a stressful work environment. Nevertheless, all involved persons have to work safely as there is no space for making mistakes. To ensure a high level of concentration and seamless interaction, all involved persons have to know their own tasks and tasks of their colleagues. The entire team must work synchronously at all times. However, the operation room (OR) is a noisy environment and the actors have to set their focus on their work. To optimize the overall workflow, a task manager supporting the team was developed. Each actor is equipped with a client terminal showing a summary of their own tasks. Moreover, a big screen displays all tasks of all actors. The architecture is a distributed system based on a communication framework that supports the interaction of all clients with the task manager. A prototype of the task manager and several clients have been developed and implemented. The system represents a proof-of-concept for further development. This paper describes the concept of the task manager.
Die ideale Ergänzung zum Lehrbuch. Anhand von Übungen und Fallstudien lassen sich in diesem Band die zentralen Kapitel und Themen des erfolgreichen Lehrbuchs "Einführung in das Controlling" optimal wiederholen und vertiefen. Der Aufbau des Übungsbuchs orientiert sich an den wichtigsten im Lehrbuch vorgestellten Controlling-Instrumenten. Zu jedem Werkzeug bietet es Aufgaben und Fragestellungen aus der Praxis. Mithilfe der umfangreichen Fallstudie der X-presso AG, die jetzt auch in Englisch dargestellt wird, können die Studierenden sich die englische Terminologie und Fachsprache aneignen. Zusätzlich werden zusammenhängende und anspruchsvollere Aufgabenstellungen auf Prüfungsniveau angeboten. Hier können die Studierenden trainieren, das gesamte Controlling-Instrumentarium sicher zu beherrschen und anzuwenden. Zur Überprüfung gibt es ausführliche Lösungsvorschläge zu jeder Aufgabe.
Anhand von Übungen und Fallstudien lassen sich in diesem Band die zentralen Kapitel und Themen des Lehrbuchs optimal wiederholen und vertiefen.
Der Aufbau des Übungsbuchs orientiert sich an den wichtigsten im Lehrbuch vorgestellten Controlling- Instrumenten. Zu jedem Werkzeug bietet es Aufgaben und Fragestellungen aus der Praxis.
Mithilfe der umfangreichen Fallstudie der X-presso AG, die auch in Englisch dargestellt wird, können die Studierenden sich die englische Terminologie aneignen. Zusätzlich werden zusammenhängende und anspruchsvollere Aufgabenstellungen auf Prüfungsniveau angeboten.
Mit ausführlichen Lösungsvorschlägen zu jeder Aufgabe. Die 3. Auflage greift alle Aktualisierungen des Lehrbuchs auf.
Mit den Aufgaben und Fallstudien des Übungsbuchs lassen sich gezielt die zentralen Kapitel und Themen des Lehrbuchs wiederholen, vertiefen und auf Problemstellungen der Unternehmnespraxis übertraggen. Die detaillierten Lösungshinweise zu allen Aufgabenstellungen sind durch zahlreiche Abbildungen und Tabellen unmittelbar nachvollziehbar. Damit ermöglicht das Übungsbuch insbesondere eine optimale Prüfungsvorbereitung.
Mit den Aufgaben und Fallstudien des Übungsbuchs lassen sich die zentralen Kapitel und Themen des Lehrbuchs gezielt wiederholen und vertiefen. Es bietet zu jedem Werkzeug Aufgaben und Fragestellungen aus der Praxis. Zusätzlich werden komplexe Anwendungsfälle namhafter deutscher und internationaler Unternehmen wie Ernst & Young, HUGO BOSS, Alfred Kärcher und Bayer angeboten.
Turning students into Industry 4.0 entrepreneurs: design and evaluation of a tailored study program
(2022)
Startups in the field of Industry 4.0 could be a huge driver of innovation for many industry sectors such as manufacturing. However, there is a lack of education programs to ensure a sufficient number of well-trained founders and thus a supply of such startups. Therefore, this study presents the design, implementation, and evaluation of a university course tailored to the characteristics of Industry 4.0 entrepreneurship. Educational design-based research was applied with a focus on content and teaching concept. The study program was first implemented in 2021 at a German university of applied sciences with 25 students, of which 22 participated in the evaluation. The evaluation of the study program was conducted with a pretest–posttest-design targeting three areas: (1) knowledge about the application domain, (2) entrepreneurial intention and (3) psychological characteristics. The entrepreneurial intention was measured based on the theory of planned behavior. For measuring psychological characteristics, personality traits associated with entrepreneurship were used. Considering the study context and the limited external validity of the study, the following can be identified in particular: The results show that a university course can improve participants' knowledge of this particular area. In addition, perceived behavioral control of starting an Industry 4.0 startup was enhanced. However, the results showed no significant effects on psychological characteristics.