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  • 351.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Jugel, Dierk
    Reutlingen University, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Bogner, Justus
    Reutlingen University, Germany.
    Kehrer, Stefan
    Reutlingen University, Germany.
    Multi-Perspective Decision Management for Digitization Architecture and Governance2016In: 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), IEEE, 2016, p. 1-9Conference paper (Refereed)
    Abstract [en]

    The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility Systems, Analytics for Big Data, and Cloud environments are emerging to support smart connected i.e. digital products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for selfoptimizing and resilient run-time environments for intelligent business services and related distributed information systems with service-oriented digitization architectures. We are investigating mechanisms for flexible adaptation and evolution of information systems with digital architecture in the context of the ongoing digital transformation. Our aim is to support flexibility and agile transformation for both business and related information systems through adaptation and dynamical evolution of their digital architectures. The present research paper investigates mechanisms of decision analytics for digitization architectures, putting a spotlight to Internet of Things architectures, by extending original enterprise architecture reference models with digitization architectures and their multiperspective architectural decision management.

  • 352.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Schweda, Christian M.
    Reutlingen University, Germany.
    Möhring, Michael
    Munich University, Germany.
    Architectural Decision Management for Digital Transformation of Products and Services2016In: Complex Systems Informatics and Modeling Quarterly, ISSN 2255-9922, Vol. 6, p. 31-53Article in journal (Refereed)
    Abstract [en]

    The digitization of our society changes the way we live, work, learn, communicate, and collaborate. The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility systems, Analytics for Big Data, and Cloud services environments are emerging to support smart connected products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and service-oriented enterprise architectures. Our aim is to support flexibility and agile transformations for both business domains and related information technology. The present research paper investigates mechanisms for decision analytics in the context of multi-perspective explorations of enterprise services and their digital enterprise architectures by extending original architecture reference models with state of art elements for agile architectural engineering for the digitization and collaborative architectural decision support. The paper’s context focuses on digital transformations of business and IT and integrates fundamental mappings between adaptable digital enterprise architectures and service-oriented information systems. We are putting a spotlight on the example domain – Internet of Things.

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  • 353. Zimmermann, Alfred
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Pretz, Michael
    Falkenthal, Michael
    Jugel, Dierk
    Wißotzki, Matthias
    Metamodell-basierte Integration von Service-orientierten EA-Referenzarchitekturen2013Conference paper (Refereed)
  • 354. Zimmermann, Alfred
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Pretz, Michael
    Falkenthal, Michael
    Jugel, Dierk
    Wißotzki, Matthias
    Towards an integrated service-oriented reference enterprise architecture2013In: Proceedings of the 2013 International Workshop on Ecosystem Architectures, ACM Digital Library, 2013, p. 26-30Conference paper (Refereed)
    Abstract [en]

    New business information systems are integrating emerging cloud infrastructures with service-oriented platforms and intelligent user-centered mobile systems. Both architecture engineering and management of service-oriented enterprise architectures is complex and has to integrate synergistic disciplines like EAM - Enterprise Architecture and Management for Services & Cloud Computing, Semantic-based Decision Support through Ontologies and Knowledge-based Systems, Big Data Management, as well as Mobility and Collaboration Systems. It is necessary to identify affected decisions by runtime changes of a service-oriented runtime environment and architecture. We have to make transparent the impact of these changes over the integral landscape of affected EAM-capabilities, like directly and transitively impacted business categories, processes, applications, services, platforms and infrastructures. The paper describes a new Metamodel-based integration approach for Service-oriented Reference Enterprise Architectures.

  • 355. Zimmermann, Alfred
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Rainer, Schmidt
    Jugel, Dierk
    Wißotzki, Matthias
    Michael, Möhring
    Adaptive Digitale Enterprise Architekturen für Big Data und Cloud-Systeme2014In: Lecture Notes on Informatics: Volume P-232, Gesellschaft für Informatik, 2014Conference paper (Refereed)
  • 356.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Schmidt, Rainer
    Munich University of Applied Sciences, Germany.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Schweda, Christian
    Reutlingen University, Germany.
    Möhring, Michael
    Munich University of Applied Sciences, Germany.
    Bogner, Justus
    Reutlingen University and Hewlett Packard Enterprise, Germany.
    Decision Case Management for Digital Enterprise Architectures with the Internet of Things2016In: Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part II / [ed] Ireneusz Czarnowski, Alfonso Mateos Caballero, Robert J. Howlett, Lakhmi C. Jain, Springer, 2016, p. 27-37Conference paper (Refereed)
    Abstract [en]

    The Internet of Things (IoT), Enterprise Social Networks, Adaptive Case Management, Mobility systems, Analytics for Big Data, and Cloud services environments are emerging to support smart connected products and services and the 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 investigating mechanisms for flexible adaptation and evolution for the next digital enterprise architecture systems in the context of the digital transformation. Our aim is to support flexibility and agile transformation for both business and related enterprise systems through adaptation and dynamical evolution of digital enterprise architectures. The present research paper investigates mechanisms for decision case management 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 for the digitization and architectural decision support.

  • 357. Zimmermann, Alfred
    et al.
    Schmidt, Rainer
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Enterprise Composition Architecture for Micro-Granular Digital Services and Products2018In: Designing Digitalization, Association for Information Systems , 2018Conference paper (Refereed)
  • 358. Zimmermann, Alfred
    et al.
    Schmidt, Rainer
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Enterprise Composition Architecture for Micro-Granular Digital Services and Products2018In: Designing Digitalization, AIS , 2018Conference paper (Refereed)
  • 359. Zimmermann, Alfred
    et al.
    Schmidt, Rainer
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Multiple Perspectives of Digital Enterprise Architecture2019In: Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2019, Heraklion, Crete, Greece, May 4-5, 2019, 2019, p. 547-554Conference paper (Refereed)
  • 360.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    El-Sheikh, Eman
    University of West Florida, USA.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Schweda, Christian M.
    Reutlingen University, Germany.
    Möhring, Michael
    Munich University, Germany.
    Wißotzki, Matthias
    University of Rostock, Germany.
    Lantow, Birger
    University of Rostock, Germany.
    Leveraging Analytics for Digital Transformation of Enterprise Services and Architectures2016In: Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures, Springer, 2016, Vol. 111, p. 91-112Chapter in book (Refereed)
    Abstract [en]

    The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. The digitization of software-intensive products and services is enabled basically by four megatrends: Cloud Computing, Big Data Mobile Systems, and Social Technologies. This disruptive change interacts with all information processes and systems that are important business enablers for the current digital transformation. The Internet of Things, Social Collaboration Systems for Adaptive Case Management, Mobility Systems and Services for Big Data in Cloud Services environments are emerging to support intelligent user-centered and social community systems. Modern enterprises see themselves confronted with an ever growing design space to engineer business models of the future as well as their IT support, respectively. The decision analytics in this field becomes increasingly complex and decision support, particularly for the development and evolution of sustainable enterprise architectures (EA), is duly needed. With the advent of intelligent user-centered and social community systems, the challenging decision processes can be supported in more flexible and intuitive ways. Tapping into these systems and techniques, the engineers and managers of the enterprise architecture become part of a viable enterprise, i.e. a resilient and continuously evolving system that develops innovative business models.

  • 361. Zimmermann, Alfred
    et al.
    Schmidt, Rainer
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Jugel, Dierk
    Intelligent Decision Management for Architecting Service-Dominant Digital Products2019In: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, Budapest, Hungary, 4-6 September 2019, 2019, p. 2120-2129Conference paper (Refereed)
  • 362. Zimmermann, Alfred
    et al.
    Schmidt, Rainer
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Jugel, Dierk
    Bogner, Justus
    Möhring, Michael
    Decision-oriented Composition Architecture for Digital Transformation2018In: Intelligent Decision Technologies 2018, Springer , 2018Conference paper (Refereed)
  • 363. Zimmermann, Alfred
    et al.
    Schmidt, Rainer
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Jugel, Dierk
    Bogner, Justus
    Möhring, Michael
    Evolution of Enterprise Architecture for Digital Transformation2018In: 22nd IEEE International Enterprise Distributed Object Computing Workshop, EDOC Workshops 2018, Stockholm, Sweden, October 16-19, 2018, IEEE Computer Society , 2018, p. 87-96Conference paper (Refereed)
  • 364.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. University of Rostock, Germany.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Bogner, Justus
    Reutlingen University and Hewlett Packard Enterprise, Germany.
    Möhring, Michael
    Munich University, Germany.
    Multi-perspective Digitization Architecture for the Internet of Things2017In: BIS 2016 International Workshops, Leipzig, July 6-8, 2016. / [ed] Witold Abramowicz, Rainer Alt, Bogdan Franczyk, Springer, 2017, Vol. 263, p. 289-298Conference paper (Refereed)
    Abstract [en]

    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.

  • 365. Zimmermann, Alfred
    et al.
    Schmidt, Rainer
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Jugel, Dierk
    Bogner, Justus
    Möhring, Michael
    Open Integration of Digital Architecture Models for Micro-granular Systems and Services2017In: Digital Enterprise Computing (DEC 2017) / [ed] A. Rossmann & A. Zimmermann, Bonn: Gesellschaft für Informatik, 2017, p. 37-47Conference paper (Refereed)
    Abstract [en]

    The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. This disruptive change drive current and next information processes and systems that are important business enablers for the context of digitization since years. Our aim is to support flexibility and agile transformations for both business domains and related information technology with more flexible enterprise information systems through adaptation and evolution of digital architectures. The present research paper investigates the continuous bottom-up integration of micro-granular architectures for a huge amount of dynamically growing systems and services, like Microservices and the Internet of Things, as part of a new composed digital architecture. To integrate micro-granular architecture models into living architectural model versions we are extending enterprise architecture reference models by state of art elements for agile architectural engineering to support digital products, services, and processes.

  • 366.
    Zimmermann, Alfred
    et al.
    Reutlingen University.
    Schmidt, Rainer
    Munich University.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Wißotzki, Matthias
    University of Rostock.
    Jugel, Dierk
    Reutlingen University.
    Möhring, Michael
    Munich University.
    Digital Enterprise Architecture - Transformation for the Internet of Things2015In: 19th IEEE International Enterprise Distributed Object Computing Workshop, EDOC Workshops 2015, Adelaide, Australia, September 21-25, 2015. / [ed] Jens Kolb, Barbara Weber, Sylvain Hallé, Wolfgang Mayer, Aditya Ghose and Georg Grossmann, IEEE, 2015, p. 130-138Conference paper (Refereed)
    Abstract [en]

    Excellence in IT is both a driver and a key enabler of the digital transformation. The digital transformation changes the way we live, work, learn, communicate, and collaborate. The Internet of Things (IoT) fundamentally influences today's digital strategies with disruptive business operating models and fast changing markets. New business information systems are integrating emerging Internet of Things infrastructures and components. With the huge diversity of Internet of Things technologies and products organizations have to leverage and extend previous Enterprise Architecture efforts to enable business value by integrating Internet of Things architectures. Both architecture engineering and management of current information systems and business models are complex and currently integrating beside the Internet of Things synergistic subjects, like Enterprise Architecture in context with services & cloud computing, semantic-based decision support through ontologies and knowledge-based systems, big data management, as well as mobility and collaboration networks. To provide adequate decision support for complex business/IT environments, we have to make transparent the impact of business and IT changes over the integral landscape of affected architectural capabilities, like directly and transitively impacted IoT-objects, business categories, processes, applications, services, platforms and infrastructures. The paper describes a new metamodel-based approach for integrating Internet of Things architectural objects, which are semi-automatically federated into a holistic Digital Enterprise Architecture environment.

  • 367.
    Öhgren, Annika
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Do SME Need Ontologies?: Results from a Survey among Small and Medium-sized Enterprises2008In: Proceedings of the 10th International Conference on Enterprise Information Systems - ICEIS 2008, 2008Conference paper (Refereed)
    Abstract [en]

    During the last years, an increasing number of successful cases of using ontologies in industrial application scenarios have been reported, the majority of these cases stem from large enterprises. The intention of this paper is to contribute to an understanding of potentials and limits of ontology-based solutions in small and medium-sized enterprises (SME). The focus is on identifying application areas for ontologies, which motivate the development of specialised ontology construction methods. The paper is based on results from a survey performed among 113 SME in Sweden, most of them from manufacturing industries. The results of the survey indicate a need from SME in three application areas: (1) management of product configuration and variability, (2) information search and retrieval, and (3) management of project documents.

  • 368.
    Öhgren, Annika
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Information Overload in Industrial Enterprises - Results of an Empirical Investigation2008In: Proceedings of the 2nd European Conference on Information Management and Evaluation, Reading: Academic Publishing Limited , 2008, p. 343-350Conference paper (Refereed)
    Abstract [en]

    The work presented is part of the research field information logistics, which investigates and develops concepts and technologies for improving information flow in organisations. The intention of this paper is to contribute to an understanding of information management problems in enterprises, and also improvement potentials of current information systems. The paper presents results of a study focusing on information overload in industrial enterprises, an area that previously has attracted little academic attention. Two areas are investigated: is information overload perceived as a problem in enterprises, and which application areas of enterprise information management should be prioritised for improvement activities? The survey was sent to 436 enterprises in the South of Sweden, most of them small and medium-sized enterprises, and received 164 valid responses. The sample used for the paper includes industrial enterprises from manufacturing, construction, and electronics industries, which accounts for approximately 80% of the responses.When analysing the data from the study, the paper follows the opinion of various scholars in the field that the complexity of an application case is an essential parameter to take into account when deciding on improvement potential. The more complex the application scenario is, the more likely is the usefulness of IT solutions for improving information flow. Research on complexity of projects proposes to define complexity as “consisting of many varied interrelated parts”, to distinguish between organisational and technological complexity, and to operationalise this in terms of “differentiation and interdependence”.One result of the study is a clear indication that information overload is perceived as a problem in industrial enterprises, which surfaces in problems such as finding the right information needed for a work task, and in the time needed to structure and store information. Furthermore, the results indicate two application areas that offer improvement potential: information management with focus on search and retrieval, and management of product information.

  • 369.
    Öhgren, Annika
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Towards a Methodology for Ontology Development in Small and Medium-Sized Enterprises2005In: IADIS Conference on Applied Computing, Algarve, Portugal, February 2005., 2005Conference paper (Other (popular science, discussion, etc.))
5678 351 - 369 of 369
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