@inproceedings{ZimmermannSchmidtJugeletal.2015, author = {Zimmermann, Alfred and Schmidt, Rainer and Jugel, Dierk and M{\"o}hring, Michael}, title = {Evolving enterprise architectures for digital transformations}, series = {Digital Enterprise Computing (DEC 2015) : June 25-26, 2015, B{\"o}blingen, Germany}, booktitle = {Digital Enterprise Computing (DEC 2015) : June 25-26, 2015, B{\"o}blingen, Germany}, editor = {Zimmermann, Alfred and Rossmann, Alexander}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Bonn}, isbn = {978-3-88579-638-1}, url = {http://nbn-resolving.de/urn:nbn:de:bsz:rt2-opus4-6099}, pages = {183 -- 194}, year = {2015}, abstract = {The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. This disruptive change interacts with all information processes and systems that are important business enablers for the digital transformation since years. 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. They will shape future trends of business innovation and the next wave of information and communication technology. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems with service-oriented enterprise architectures. The present research investigates mechanisms for flexible adaptation and evolution of digital enterprise architectures in the context of integrated synergistic disciplines like distributed service-oriented architectures and information systems, EAM - Enterprise Architecture and Management, metamodeling, semantic echnologies, web services, cloud computing and Big Data technology. Our aim is to support flexibility and agile transformations for both business domains and related enterprise systems through adaptation and evolution of digital enterprise architectures. The present research paper investigates digital transformations of business and IT and integrates fundamental mappings between adaptable digital enterprise architectures and service-oriented information systems.}, language = {en} } @inproceedings{MoehringSchmidtHaertingetal.2015, author = {M{\"o}hring, Michael and Schmidt, Rainer and H{\"a}rting, Ralf-Christian and B{\"a}r, Florian and Zimmermann, Alfred}, title = {Classification framework for context data from business processes}, series = {Business Process Management Workshops : BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers}, booktitle = {Business Process Management Workshops : BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers}, editor = {Fournier, Fabiana}, publisher = {Springer}, address = {Cham}, isbn = {978-331-91589-5-2}, doi = {10.1007/978-3-319-15895-2_37}, pages = {440 -- 445}, year = {2015}, abstract = {New business concepts such as Enterprise 2.0 foster the use of social software in enterprises. Especially social production significantly increases the amount of data in the context of business processes. Unfortunately, these data are still an unearthed treasure in many enterprises. Due to advances in data processing such as Big Data, the exploitation of context data becomes feasible. To provide a foundation for the methodical exploitation of context data, this paper introduces a classification, based on two classes, intrinsic and extrinsic data.}, language = {en} } @inproceedings{SchmidtZimmermannMoehringetal.2015, author = {Schmidt, Rainer and Zimmermann, Alfred and M{\"o}hring, Michael and Jugel, Dierk and B{\"a}r, Florian and Schweda, Christian}, title = {Social-software-based support for enterprise architecture management processes}, series = {Business Process Management Workshops : BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers}, booktitle = {Business Process Management Workshops : BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers}, editor = {Fournier, Fabiana and Mendling, Jan}, publisher = {Springer}, address = {Cham}, isbn = {978-331-91589-5-2}, doi = {10.1007/978-3-319-15895-2_39}, pages = {452 -- 462}, year = {2015}, abstract = {Modern enterprises reshape and transform continuously by a multitude of management processes with different perspectives. They range from business process management to IT service management and the management of the information systems. Enterprise Architecture (EA) management seeks to provide such a perspective and to align the diverse management perspectives. Therefore, EA management cannot rely on hierarchic - in a tayloristic manner designed - management processes to achieve and promote this alignment. It, conversely, has to apply bottom-up, information-centered coordination mechanisms to ensure that different management processes are aligned with each other and enterprise strategy. Social software provides such a bottom-up mechanism for providing support within EAM-processes. Consequently, challenges of EA management processes are investigated, and contributions of social software presented. A cockpit provides interactive functions and visualization methods to cope with this complexity and enable the practical use of social software in enterprise architecture management processes.}, language = {en} } @inproceedings{SchmidtMoehringHaertingetal.2015, author = {Schmidt, Rainer and M{\"o}hring, Michael and H{\"a}rting, Ralf-Christian and Zimmermann, Alfred and Heitmann, Jan and Blum, Franziska}, title = {Leveraging textual information for improving decision making in the business process lifecycle}, series = {Intelligent Decision Technologies : Proceedings of the 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015)}, booktitle = {Intelligent Decision Technologies : Proceedings of the 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015)}, editor = {Neves-Silva, Rui}, publisher = {Springer}, address = {Cham}, isbn = {978-331-91985-7-6}, doi = {10.1007/978-3-319-19857-6_48}, pages = {563 -- 574}, year = {2015}, abstract = {Business process implementations fail, because requirements are elicited incompletely. At the same time, a huge amount of unstructured data is not used for decision-making during the business process lifecycle. Data from questionnaires and interviews is collected but not exploited because the effort doing so is too high. Therefore, this paper shows how to leverage textual information for improving decision making in the business process lifecycle. To do so, text mining is used for analyzing questionnaires and interviews.}, language = {en} } @inproceedings{ZimmermannJugelSchmidtetal.2015, author = {Zimmermann, Alfred and Jugel, Dierk and Schmidt, Rainer and Schweda, Christian and M{\"o}hring, Michael}, title = {Collaborative decision support for adaptive digital enterprise architecture}, series = {Joint Proceedings of the BIR 2015 Workshops and Doctoral Consortium (BIR-WS 2015), Tartu, Estonia, August 26-28, 2015 : CEUR workshop proceedings ; 1420}, booktitle = {Joint Proceedings of the BIR 2015 Workshops and Doctoral Consortium (BIR-WS 2015), Tartu, Estonia, August 26-28, 2015 : CEUR workshop proceedings ; 1420}, editor = {Matulevičius, Raimundas}, publisher = {RWTH}, address = {Aachen}, issn = {1613-0073}, url = {http://nbn-resolving.de/urn:nbn:de:bsz:rt2-opus4-5784}, pages = {24 -- 35}, year = {2015}, abstract = {The digitization of our society changes the way we live, work, learn, communicate, and collaborate. This disruptive change interacts with all 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 and enterprise systems through adaptation and evolution of digital enterprise architectures. The present research paper investigates collaborative decision mechanisms for adaptive 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.}, language = {en} } @inproceedings{ZimmermannSchmidtSandkuhletal.2015, author = {Zimmermann, Alfred and Schmidt, Rainer and Sandkuhl, Kurt and Wißotzki, Matthias and Jugel, Dierk and M{\"o}hring, Michael}, title = {Digital enterprise architecture - transformation for the Internet of Things}, series = {19th IEEE International Enterprise Distributed Object Computing Conference workshops, EDOCW 2015 : 22-25 September 2015, Adelaide, Australia : proceedings}, booktitle = {19th IEEE International Enterprise Distributed Object Computing Conference workshops, EDOCW 2015 : 22-25 September 2015, Adelaide, Australia : proceedings}, editor = {Kolb, Jens}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-4673-9331-7}, doi = {10.1109/EDOCW.2015.16}, pages = {130 -- 138}, year = {2015}, abstract = {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.}, language = {en} } @inproceedings{SchmidtMoehringHaertingetal.2015, author = {Schmidt, Rainer and M{\"o}hring, Michael and H{\"a}rting, Ralf-Christian and Reichstein, Christopher and Zimmermann, Alfred and Luceri, Sandro}, title = {Benefits of enterprise architecture management - insights from European experts}, series = {The Practice of Enterprise Modeling : 8th IFIP WG 8.1. Working Conference, PoEM 2015, Valencia, Spain, November 10-12, 2015, Proceedings}, booktitle = {The Practice of Enterprise Modeling : 8th IFIP WG 8.1. Working Conference, PoEM 2015, Valencia, Spain, November 10-12, 2015, Proceedings}, editor = {Ralyt{\´e}, Jolita}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-25897-3}, doi = {10.1007/978-3-319-25897-3_15}, pages = {223 -- 236}, year = {2015}, abstract = {Excellence in IT is a key enabler for the digital transformation of enterprises. To realize the vision of digital enterprises it is necessary to cope with changing business requirements and to align business and IT. In order to evaluate the contribution of enterprise architecture management to these goals, our paper explores the impact of various factors to the perceived benefit of EAM in enterprises. Based on literature, we build an empirical research model. It is tested with empirical data of European EAM experts using a structural equation modelling approach. It is shown that changing business requirements, IT business alignment, the complexity of information technology infrastructure as well as enterprise architecture knowledge of information technology employees are crucial impact factors to the perceived benefit of EAM in enterprises.}, language = {en} }