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  • 301.
    Smirnov, Alexander
    et al.
    SPIIRAS, St.Petersburg, Russian Federation.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Shilov, Nikolay
    SPIIRAS, St.Petersburg, Russian Federation.
    SOA-Based Product Knowledge Management for Collaborative Engineering in Virtual Enterprises2010In: 2010 IEEE International Technology Management Conference, ICE 2010, Lugano: IEEE , 2010Conference paper (Refereed)
    Abstract [en]

    The paper addresses the problem of product knowledge management in virtual enterprises. The proposed approach is based on the idea of representing virtual enterprise members via services provided by them. This makes it possible to abstract from real virtual enterprise members and to deal with a Web service network instead. The C3S3P (Concept Study, Scaffolding, Scoping, and Requirements Modelling) methodology is used for product knowledge modeling. These best practices were represented as active knowledge models. Capturing organisational knowledge is facilitated via usage of the concept of task patterns based on the industrial case taken from product development in automotive supplier industries. Since the evaluation was of just one year and included only four industrial companies from two different domains, future work is planned to include a comparison between different industries and also include experiences from a larger number of task pattern developments.

  • 302.
    Smirnov, Alexander V.
    et al.
    St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Context-Oriented Knowledge Management for Decision Support in Business Networks: Modern Requirements and Challenges2015In: Joint Proceedings of the BIR 2015 Workshops and Doctoral Consortium co-located with 14th International Conference on Perspectives in Business Informatics Research (BIR 2015), Tartu, Estonia, August 26-28, 2015, CEUR-WS , 2015, Vol. 1420, p. 9-23Conference paper (Refereed)
    Abstract [en]

    In many industrial sectors, business networks emerged as collaborative partnerships for tackling challenges caused by globalization and changing market needs. These networks are bundling competence and knowledge of different partners for co-operations in development or manufacturing projects. In such networks and collaborations, management of knowledge, competences and capacities at the different network members is crucial. This paper investigates requirements and challenges to knowledge management for business networks and argues that context-orientation is a key feature of modern approaches. The focus on our work is on decision support.

  • 303.
    Smirnov, Alexander V.
    et al.
    St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Russia.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Institute of Computer Science, Rostock University, Germany.
    Shilov, Nikolay
    St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Russia.
    Kashevnik, Alexey
    St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Russia.
    "Product-Process-Machine" System Modeling: Approach and Industrial Case Studies2013In: The Practice of Enterprise Modeling - 6th IFIP WG 8.1 Working Conference, PoEM 2013, Riga, Latvia, November 6-7, 2013, Proceedings / [ed] Janis Grabis, Marite Kirikova, Jelena Zdravkovic, Janis Stirna, Berlin: Springer Berlin/Heidelberg, 2013, p. 251-265Conference paper (Refereed)
  • 304.
    Smirnov, Alexander V.
    et al.
    SPIIRAS, ITMO University.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Shilov, Nikolay
    SPIIRAS, ITMO University.
    Teslya, Nikolay
    SPIIRAS, ITMO University.
    Context Variation for Service Self-contextualization in Cyber-Physical Systems2015In: Business Information Systems - 18th International Conference, BIS 2015, Poznan, Poland, June 24-26, 2015., Springer, 2015, Vol. 208, p. 309-320Conference paper (Refereed)
    Abstract [en]

    Operation and configuration of Cyber-Physical Systems (CPSs) require approaches for managing the variability at design time and the dynamics at runtime caused by a multitude of component types and changing application environments. As a contribution to this area, this paper proposes to integrate concepts for variability management with approaches for self-organization in intelligent systems. Our approach exploits the idea of self-contextualization to autonomously adapt behaviors of multiple services to the current situation. More concrete, we put the “context” of CPS into the conceptual focus of our approach and propose context variants for use in self-contextualization of CPS. The main contributions of this paper are to identify challenges in variability management of CPS based on an industrial case, the integration of context variants into the reference model for selfcontextualizing services and an initial validation using a case study

  • 305. Smirnov, Alexander V.
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Shilov, Nikolay
    Teslya, Nikolay
    Service Self-Contextualization in Cyber-Physical Systems based on Context Modeling and Context Variation2018In: Joint Proceedings of the BIR 2018 Short Papers, Workshops and Doctoral Consortium co-located with 17th International Conference Perspectives in Business Informatics Research (BIR 2018), Stockholm, Sweden, September 24-26, 2018, CEUR-WS.org , 2018, Vol. 2218, p. 94-105Conference paper (Refereed)
  • 306. Sonnenberger, Anna
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    EA Management in the German Public Sector: An Initial Perspective on Priorities2018In: Joint Proceedings of the BIR 2018 Short Papers, Workshops and Doctoral Consortium co-located with 17th International Conference Perspectives in Business Informatics Research (BIR 2018), Stockholm, Sweden, September 24-26, 2018, CEUR-WS.org , 2018, Vol. 2218, p. 120-129Conference paper (Refereed)
  • 307.
    Stamer, Dirk
    et al.
    Rostock University, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Rostock University, Germany.
    Information Demand Pattern for Teams: Structure and Content2016In: Joint Proceedings of the BIR 2016 Workshops and Doctoral Consortium co-located with 15th International Conference on Perspectives in Business Informatics Research (BIR 2016), Prague, September 14 - 16, 2016. / [ed] Björn Johansson, Filip Vencovský, CEUR-WS , 2016, Vol. 1684Conference paper (Refereed)
    Abstract [en]

    Organizations experience today an increasing amount of information, which leads to a perceived information overload. This information overload is the cause for more and more wrong decisions and has therefore economic consequences. Especially decision-makers and knowledge intensive workers are affected. They often work in teams with several persons who have to share information relevant for their tasks. Information demand patterns have been suggested as a possibility to reduce the information overload in organizations. Such patterns offer the possibility to reuse knowledge about information demands of a role. This work is guided by the question how the concept of information demand pattern for individual roles can be applied to a team. The contributions of this work are (1) a description of the structure of information demand patterns for teams; (2) a presentation of the correlation between information demand pattern for individuals and teams and (3) a team pattern definition.

  • 308.
    Stamer, Dirk
    et al.
    University of Rostock.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Borchardt, Ulrike
    University of Rostock.
    Timm, Felix
    University of Rostock.
    Entwicklung einer Balanced-Scorecard zur Nutzenbewertung eines Lehr-Lern-Portals für die wissenschaftliche Weiterbildung2015In: Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015, CEUR-WS , 2015, Vol. 1458, p. 304-315Conference paper (Refereed)
    Abstract [de]

    Lehr-Lern-Portale können eingesetzt werden, um Lernende durch das Bereitstellen von relevanten Informationen an einem zentralen Ort sinnvoll zu unterstützen. Es stellt sich jedoch schnell die Frage, wie der intuitiv erwartete Mehrwert bezüglich des Nutzens eines solchen Portals objektiv gemessen werden kann? Ansätze zur Qualitätsbewertung von Software fokussieren sich häufig auf einzelne Teilaspekte wie den wahrgenommenen Nutzen. Diese Arbeit präsentiert als ganzheitlichen Ansatz zur Nutzenbewertung eines Lehr-Lern-Portals eine angepasste Balanced-Scorecard am Beispiel des Portals „myKosmos“. Diese Arbeit entstand im Rahmen des Projekts KOSMOS, das darauf abzielt, ein Konzept für das Lebenslange Lernen an Hochschulen zu entwickeln, um traditionellen und nicht-traditionellen Zielgruppen individuell angepasste Studienmöglichkeiten auf universitärem Niveau anzubieten.

  • 309.
    Stamer, Dirk
    et al.
    Rostock 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. Rostock University, Germany.
    Zeiner, Veronika
    Rostock University, Germany.
    Information Demand Pattern for Teams2016In: Complex Systems Informatics and Modeling Quarterly, ISSN 2255-9922, Vol. 6, p. 54-72Article in journal (Refereed)
    Abstract [en]

    Modern organizations face the challenge of having to manage an increasing amount of information. The resulting information overload leads more and more to problems in decision making with potentially negative economic consequences. Decision-makers and knowledge intensive workers are especially affected. To address this problem, information demand patterns were proposed which capture organizational knowledge about the information demand of single roles. This work extends the concept of information demand patterns from single roles to teams. Using the knowledge intensive field of project management, the paper shows how to apply the concept of information demand patterns for a whole team. The contributions of this work are (1) the methodical approach to develop information demand patterns for teams, (2) an actual information demand pattern for a steering committee in the context of project management, (3) reflections on the differences between role patterns and team patterns.

  • 310.
    Stamer, Dirk
    et al.
    University of Rostock.
    Zeiner, Veronika
    University of Rostock.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Development and Validation of an Information Demand Pattern for a Team in Project Management2015In: Joint Proceedings of the BIR 2015 Workshops and Doctoral Consortium co-located with 14th International Conference on Perspectives in Business Informatics Research (BIR 2015), Tartu, Estonia, August 26-28, 2015, CEUR-WS , 2015, Vol. 1420, p. 86-97Conference paper (Refereed)
    Abstract [en]

    Organizations are faced today with an increasing amount of information. This information overload leads more and more to wrong decisions and has therefore economic consequences. Especially decision-makers and knowledge intensive workers are affected. This work introduces information demand pattern for teams in order to improve the information flow in the knowledge intensive field of project management. The contributions of this work are (1) the methodological description how to develop information demand pattern for teams, (2) the presentation of an information demand pattern for a steering committee in the context of project management and (3) general advises on information demand pattern and information demand analysis.

  • 311.
    Stamer, Dirk
    et al.
    University of Rostock, Germany.
    Zimmermann, Ole
    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.
    What Is a Framework?: - A Systematic Literature Review in the Field of Information Systems2016In: Perspectives in Business Informatics Research / [ed] Václav Řepa, Tomáš Bruckner, Springer, 2016, Vol. 261, p. 145-158Conference paper (Refereed)
    Abstract [en]

    The term ‘framework’ appears very often in scientific publications like journals and conferences. However, there is no universal definition of a framework. It seems that the term is not used in a consistent way by authors publishing on frameworks since they have very little in common compared to each other. The goal of this work is to analyse and show how frameworks in the fields of information systems are handled in the scientific literature over the past 10 years as well as giving a universal definition of the term ‘framework’ based on the relevant studies. The systematic literature review will serve to identify those studies and to categorize the identified frameworks. The contributions of this work are (1) a general overview about frameworks in the past 10 years, (2) a proposed categorization of frameworks and (3) a general definition of the term ‘framework’.

  • 312.
    Stirna, Janis
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Persson, Anne
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Participative Enterprise Modelling: Experiences and Recommendations2007In: The 19th International Conference on Advanced Information Systems Engineering (CAiSE'07), 2007Conference paper (Refereed)
    Abstract [en]

    The objective of this paper is to report a set of experiences of applying participative enterprise modeling in different organizational contexts. While the authors have successfully applied the approach in many organizations, the paper primarily concentrates on three cases. On the basis of these experiences the paper presents a set of generic principles for applying participative enterprise modeling.

  • 313. Stirna, Janis
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    An Outlook on Patterns as an Aid for Business and IT Alignment with Capabilities2014In: Lecture Notes in Business Information Processing: Volume 178, Springer, 2014, p. 148-158Conference paper (Refereed)
    Abstract [en]

    Patterns have established themselves as a useful and practicable instrument for capturing reusable solutions to reoccurring problems in a multitude of domains. This paper discusses three cases of pattern application - at Riga City Council, Kongsberg Automotive, and Proton Engineering, An outlook on how pattern based approaches should be developed to support business and IT alignment and the concept of capability as means to deliver context dependent organizational solutions is also presented.

  • 314.
    Stirna, Janis
    et al.
    Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Institute of Computer Science, University of Rostock, Rostock, Germany.
    Enterprise modelling: Establishing the fundament for capability management2018In: Capability management in digital enterprises / [ed] Kurt Sandkuhl & Janis Stirna, Cham: Springer, 2018, p. 85-100Chapter in book (Refereed)
    Abstract [en]

    Enterprise Modelling (EM) is an activity where an integrated model describing different aspects of an enterprise is created. An enterprise model consists of a number of related “sub-models” or perspectives, each describing the enterprise from a particular view, for example, processes, business rules, goals, actors, and concepts/information/data. The purpose of using EM in the context of capability management is to capture and document the existing organizational design. The overall vision of capability management approaches, such as Capability-Driven Development (CDD), is to use (and update if necessary) the enterprise models that the organization already has for capability design. However, if an organization does not have existing models or their use is deemed impractical (e.g., they are severely out of date or the quality of models is below acceptable), new models need to be created. The chapter gives an introduction to the topic of Enterprise Modelling, including perspectives captured in enterprise models, a typical modelling process, and existing modelling methods.

  • 315.
    Stirna, Janis
    et al.
    Stockholm University.
    Sandkuhl, KurtJönköping University, School of Engineering, JTH. Research area Information Engineering.Seigerroth, UlfJönköping University, School of Engineering, JTH. Research area Information Engineering.
    Emerging Topics in the Practice of Enterprise Modeling: 5th IFIP WG 8.1 Working Conference, PoEM 2012 Rostock, Germany, November 7-8, 2012 Short Paper Proceedings2012Conference proceedings (editor) (Refereed)
  • 316. Söderström, E
    et al.
    Högberg, P
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    C-commerce: Its past, present and future2006In: Workshop on Business Informatics, Kaunas. Lithunia, October 2006, 2006Conference paper (Other (popular science, discussion, etc.))
  • 317.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Albertsen, Thomas
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Kashevnik, Alexey
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Shilov, Nikolay
    Smirnov, Alexander
    Ontology-Based Competence Management for Team Configuration2007In: Holonic and Multi-Agent Systems for Manufacturing: third International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007, Regensburg, Germany, September 3 - 5, 2007; proceedings, Berlin: Springer , 2007, p. 401-410Conference paper (Refereed)
    Abstract [en]

    When manufacturers, distributors and dealers need to collaborate, they form production networks because this provides significant advantages in production variety, flexibility and lead time. Production processes in such networks often spawn different specific tasks that are to be solved by the network members. This requires creation of a team able to tackle the identified problem. When dealing with multiple organizations and multiple processes within a complicated production network, trying to find a member that has required competence can be a laborious, time-consuming process. Developing and main-taining competence profiles of all the relevant parties associated with produc-tion can significantly reduce the time. The paper proposes an approach to team configuration based on competence profiles. The approach utilizes such tech-nologies as ontology management, context management and profiling. Using ontological representation makes it possible to identify those team members who are best suited for the task by ontology matching.

  • 318.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    On the Role of Competence Models for Business and IT Alignment in Network Organizations2011In: Business Information Systems Workshops: BIS 2011 International Workshops and BPSC International Conference, Poznań, Poland, June 15-17, 2011. Revised Papers / [ed] Witold Abramowicz, Leszek Maciaszek and Krzysztof Węcel, Springer Berlin/Heidelberg, 2011, Vol. 97, p. 208-219Conference paper (Refereed)
    Abstract [en]

    Customer-motivated changes in network organizations lead to alignment of business and IT-infrastructure. This paper investigates the use of competence models in network organizations for more efficient alignment of IT-infrastructure to changed business demands. The paper shows that a competence model is pertinent in a process of aligning an IT-infrastructure to changed business demands. Then, a way is presented of extracting alignment needs from competence information in enterprise models. Finally, our approach for competence profile management is extended with alignment operations. These operations together with other operations on competence profiles form a lifecycle model for competence profile management. Such operationalization allows for support of aligning network organizations to changing business demands.

  • 319.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Henoch, Bengt
    Using Ontologies for Representation of Individual and Enterprise Competence Models2006In: Proceedings of the 4th IEEE International Conference on Computer Sciences Research, Innovation and Vision for the Future (RIVF 2006): February 12 - 16, 2006, Ho Chi Minh City, Vietnam, Piscataway, NJ.: IEEE Operations Center , 2006, p. 205-212Conference paper (Refereed)
    Abstract [en]

    Awareness of competence and structured competence representations are important elements in different business scenarios such as a company looking for a partner with expertise in a certain industrial sector or new staff member with particular skills. This paper presents the use of ontologies to formally represent competence models describing individual and enterprise competences. The individual competences model includes the three major parts: general competence, cultural competence, and occupational competence. The enterprise competences model consists of two parts: industrial competence and occupational competence. The competence models are defined with a meta-model, the latter being an ontology language. Particular individuals and enterprises are described with competence profiles, which are instances of the models. During a pilot study, five individual competence profiles and four enterprise competence profiles were built. The approach to competence modeling has proved to be able to capture capabilities of individuals with diverse occupational and educational backgrounds. Furthermore, the competence modeling approach proved to be suitable for enterprise competences in different countries due to use of international standard classifications as a basis of the models.

  • 320.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Lundqvist, Magnus
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Modeling Collaborative Design Competence with Ontologies2010In: Encyclopedia of E-Business Development and Management in the Global Economy / [ed] In Lee, IGI Global , 2010, p. 942-951Chapter in book (Other academic)
    Abstract [en]

    Collaborative design in dispersed groups of engineers creates various kinds of challenges to technology, organization and social environment. Selected examples are knowledge sharing, coordination support or secure tool integration (Jacucci, Pawlak, & Sandkuhl, 2005). Work presented in this chapter is located in the area of formation of teams for collaborative design. The challenge addressed is how to describe and represent the competences needed for a planned collaborative design project in a way that those individuals best suited for the collaboration can be identified. The proposed approach is to apply ontology engineering to modeling competences of individuals, including different competence areas like cultural competences, professional competences or occupational competences.

  • 321.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Lundqvist, Magnus
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Ontology-based Competence Model for Collaborative Design2009In: Virtual Team Leadership and Collaborative Engineering Advancements: Contemporary Issues and Implications / [ed] Ned Kock, Hershey: Information Science Reference , 2009, p. 188-202Chapter in book (Other academic)
    Abstract [en]

    Collaborative design in dispersed groups of engineers creates various kinds of challenges to technology, organization and social environment. This paper presents an approach to description and representation of the competences needed for a planned collaborative design project. The most important competence areas are identified starting from the nature of design work, problem solving in design teams, and working in distributed groups. The competence model is built structuring these areas according to three perspectives: general, cultural, and occupational competences. An ontological representation is proposed to implement the described model for collaborative design competence. Using an ontology language for representation of collaborative design competence models makes it possible to identify those individuals who are best suited for the collaboration by ontology matching. Furthermore, a software design team consisting of two persons was interviewed and competence profiles were created using the developed ontological representation. Modeling of the team members has confirmed that the proposed approach can be applied to modeling competences needed for collaborative design in engineering fields.

  • 322.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, Jönköping International Business School, JIBS, Informatics. Jönköping University, Jönköping International Business School, JIBS, Business Administration.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Ontology development strategies in industrial contexts2019In: Business Information Systems Workshops. BIS 2018. / [ed] Abramowicz W., Paschke A., Cham: Springer, 2019, Vol. 339, p. 156-167Conference paper (Refereed)
    Abstract [en]

    Knowledge-based systems are used extensively to support functioning of enterprises. Such systems need to reflect the aligned business-IT view and create shared understanding of the domain. Ontologies are used as part of many knowledge-bases systems. The industrial context affects the process of ontology engineering in terms of business requirements and technical constraints. This paper presents a study of four industrial cases that included ontology development. The study resulted in identification of seven factors that were used to compare the industrial cases. The most influential factors were found to be reuse of ontologies/models, stakeholder groups involved, and level of applicability of ontology. Finally, four recommendation were formulated for projects intended to create shared understanding in an enterprise.

  • 323.
    Thörn, Christer
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Eriksson, Örjan
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Blomqvist, Eva
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Potentials and Limits of Graph-Algorithms for Discovering Ontology Patterns2006In: Proceedings of the International Conference on Intelligent Agents, Web Technology and Internet Commerce - IAWTIC'2005, Wien, Austria, November 2005 / [ed] Masoud Mohammadian, Piscataway, N.J.: IEEE , 2006, p. 174-179Conference paper (Refereed)
  • 324.
    Thörn, Christer
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Gustafsson, Thomas
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Small-Scale Software Engineering in Småland's SMEs: A Survey of Software Engineering Practices2008In: SERPS '08: Eight Conference on Software Engineering Research and Practice in Sweden, 2008Conference paper (Refereed)
  • 325.
    Thörn, Christer
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Feature Modeling: Managing Variability in Complex Systems2009In: Complex Systems in Knowledge-based Environments: Theory, Models and Applications / [ed] Andreas Tolk, Lakhmi C. Jain, Berlin: Springer , 2009, p. 129-162Chapter in book (Other academic)
  • 326.
    Thörn, Christer
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Webers, Wolfram
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Enterprise Ontology and Feature Model Integration: Approach and Experiences from an Industrial Case2007In: ICSOFT 2007: Second International Conference on Software and Data Technologies, 2007Conference paper (Refereed)
  • 327.
    Thörn, Christer
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Webers, Wolfram
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Connecting Feature Models and AUTOSAR: An Approach Supporting Requirements Engineering in Automotive Industries2008In: RefSQ '08: Proceedings of the International Working Conference on Requirements Engineering: Foundation for Software Quality, Berlin: Springer , 2008, p. 95-108Conference paper (Refereed)
  • 328. Timm, Felix
    et al.
    Klohs, Katharina
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Application of Inductive Reference Modeling Approaches to Enterprise Architecture Models2018In: Business Information Systems - 21st International Conference, BIS 2018, Berlin, Germany, July 18-20, 2018, Proceedings, Springer , 2018, Vol. 320, p. 45-57Conference paper (Refereed)
  • 329.
    Timm, Felix
    et al.
    University of Rostock.
    Köpp, Christina
    University of Rostock.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Wißotzki, Matthias
    University of Rostock.
    Initial Experiences in Developing a Reference Enterprise Architecture for Small and Medium-Sized Utilities2015In: Proceedings of Short and Doctoral Consortium Papers Presented at the 8th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2015), Valencia, Spain, November 10-12, 2015, CEUR-WS , 2015, Vol. 1497, p. 31-40Conference paper (Refereed)
    Abstract [en]

    In the last decades, numerous developments and legal changes moved the utility industry towards a liberalized market. Utility enterprises have to stay competitive and reduce costs while managing more complex IT systems. The authors of this work see special demand for aligning business and IT for small and medium-sized enterprises (SME) in this industry and identify the development of a reference enterprise architecture (R-EA) as a key for this issue. This work investigates how to develop such a reference model, which comprises data acquisition as well as validation methods.

  • 330. Timm, Felix
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    A Reference Enterprise Architecture for Holistic Compliance Management in the Financial Sector2018In: Proceedings of the International Conference on Information Systems - Bridging the Internet of People, Data, and Things, ICIS 2018, San Francisco, CA, USA, December 13-16, 2018, Association for Information Systems , 2018Conference paper (Refereed)
  • 331. Timm, Felix
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Towards a Reference Compliance Organization in the Financial Sector2018In: Tagungsband Multikonferenz Wirtschaftsinformatik (MKWI) 2018, Leuphania University Lüneburg , 2018, p. 1209-1220Conference paper (Refereed)
  • 332. Timm, Felix
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Towards a Reference Compliance Organization in the Financial Sector2018In: Banking and Information Technology, Vol. 19, no 2, p. 38-48Article in journal (Refereed)
  • 333. Timm, Felix
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Fellmann, Michael
    Towards A Method for Developing Reference Enterprise Architectures2017In: Tagungsband Wirtschafts Informatik 2017: 13. Internationale Tagung Wirtschaftsinformatik "Towards Thought Leadership In Digital Transformation" / [ed] Jan Marco Leimeister & Walter Brenner, Universität St.Gallen, 2017Conference paper (Refereed)
    Abstract [en]

    In most economic sectors organizations face rapid environmental changes like regulations. Such changes can force them to adjust both their organizational and operational structure. For instance, in the energy utility sector numerous developments moved German Public Utilities (PUs) towards a liberalized market. Nowadays PUs have to stay competitive while managing a heterogeneous information technology (IT) landscape. We address this demand for aligning business and IT by combining the holistic perspective of Enterprise Architecture Management (EAM) with the characteristic of reference modeling to reuse knowledge in a problem domain. Therefore, we utilize configurative reference modeling within Design Science Research (DSR). The artefact at hand is a method for developing a Reference Enterprise Architecture (R-EA), which is applied in the problem domain of PUs. Our contributions are the (i) adaptation of Configurative Reference Modelling (CRM) to develop a R-EA and (ii) a procedure how to elicit knowledge for R-EA development method.

  • 334. Timm, Felix
    et al.
    Wißotzki, Matthias
    Köpp, Christina
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Current State of Enterprise Architecture Management in SME Utilities2015In: 45. Jahrestagung der Gesellschaft für Informatik, Informatik 2015, Informatik, Energie und Umwelt, Cottbus, Deutschland, 28. September - 2. Oktober 2015., 2015, Vol. 246, p. 895-907Conference paper (Refereed)
  • 335. Werner, C
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Business Value of Collaborative Engineering: Potentials and Limits of Measurement Approaches2004In: CCE '04 - Challenges in Collaborative Engineering: the integration challenge in industrial collaborative engineering : proceedings of the International Workshop 19th-21st April 2004, Stara Lesna, Slovakia, in conjunction with DDECS '04, Jönköping: Dept. of Computer & Electrical Engineering, School of Engineering , 2004Conference paper (Other academic)
  • 336.
    Wiebring, Jörn
    et al.
    Stadtwerke Rostock AG.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Selecting the Right Notation for Business Process Modeling: Experiences from an Industrial Case2015In: Perspectives in Business Informatics Research - 14th International Conference, BIR 2015, Tartu, Estonia, August 26-28, 2015., Springer, 2015, Vol. 229, p. 129-144Conference paper (Refereed)
    Abstract [en]

    During the last 20 years, much research work has been spent on determining which notation is the “best” one for business process modelling in industrial practice. However, most of this work has been performed outside the actual application context, i.e. often in labs, academic environments or experimental settings. We aim at contributing to the field by presenting and discussing a case of selecting the notation for a complete organization. More concrete, the paper covers the process of making a decision which notation is the most appropriate one for a medium-sized organization from utility industries. The steps taken in this decision making process include the analysis of requirements originating from regulation in the domain, a survey among the future users of the notation, and the analysis and evaluation of organizational requirements. The main contributions of this paper are (1) a real-world example illustrating issues and challenges when deciding on the “right” process modeling notation including influences from the application domain, (2) a survey comparing the understandability of notations from the end user perspective and (3) lessons learned from the decision making process and the survey.

  • 337.
    Wißotzki, Matthias
    et al.
    University of Rostock.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Elements and Characteristics of Enterprise Architecture Capabilities2015In: Perspectives in Business Informatics Research - 14th International Conference, BIR 2015, Tartu, Estonia, August 26-28, 2015, Proceedings / [ed] Raimundas Matulevičius, Marlon Dumas, Springer, 2015, Vol. 229, p. 82-96Conference paper (Refereed)
    Abstract [en]

    Enterprise Architecture Management (EAM) is expected to contribute to strategic planning and systematic development of enterprises by capturing the essential structures and processes of an enterprise on different architectural levels (e.g. business, data, application, technology) and showing inter-dependencies. Capabilities in EAM are among the subjects in research which have received substantial attention during the last years, but still are not thoroughly defined regarding their characteristics, elements and lifecycle processes. Many different definitions of the term capability exist and different views on what the elements of capabilities are have been presented. The main contributions of the paper are (a) an analysis and discussion of the literature on capabilities in EAM, (b) a conceptualization of EAM capability identifying the core elements and characteristics, and (c) the results of expert interviews for validating this conceptualization.

  • 338. Wißotzki, Matthias
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    The Digital Business Architect - Towards Method Support for Digital Innovation and Transformation2017In: The Practice of Enterprise Modeling: 10th IFIP WG 8.1. Working Conference, PoEM 2017, Leuven, Belgium, November 22-24, 2017, Proceedings / [ed] Geert Poels, Frederik Gailly, Estefania Serral Asensio & Monique Snoeck, Springer, 2017, p. 352-362Conference paper (Refereed)
  • 339. Wißotzki, Matthias
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Rostock University, Rostock, Germany.
    Smirnov, Alexander V.
    Kashevnik, Alexey
    Shilov, Nikolay
    Digital signage and targeted advertisement based on personal preferences and digital business models2017Conference paper (Refereed)
    Abstract [en]

    Digital signage in general refers to the provision of content (advertisements, news, assistance) on electronic scoreboards or large displays in places where many people are present or passing by. The more this content is expected to be tailored for specific user groups, the more context information is required, like, e.g., the preferences or profiles of target users or user groups. The ideal digital signage solution would be able to provide individualized content for the audience consuming the information at any time: if only one person is present, the content would be personalized for this person; if a group of persons is present the demand of all should be met. Based on a digital signage solution for elevator doors, the paper investigates the intersecting of preferences as a contribution to determine the most relevant content for a group of users. This intersection of preferences serves as a basis for new business models for interactive elevator digital signage. The main contributions of the paper are (1) an industrial case of digital business model innovation motivating contextual digital signage, (2) a technical approach for intersecting personal preferences, and (3) a methodical approach for digital business model innovation.

  • 340.
    Zdravkovic, Jelena
    et al.
    Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.
    Stirna, Janis
    Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Institute of Computer Science, Chair of Business Information Systems, University of Rostock, Rostock, Germany.
    Future of capability management2018In: Capability management in digital enterprises / [ed] Kurt Sandkuhl & Janis Stirna, Cham: Springer, 2018, p. 385-396Chapter in book (Refereed)
    Abstract [en]

    Capability management has been the subject of a lot of research during the past years. Many of the results achieved have been presented in the previous chapters. Although the advancements have been substantial, a number of open issues and research questions remain. The chapter gives a summary on the ongoing research in the field and an outlook on future activities. More specifically, we discuss capability management for increasing cyber resilience, supporting digital transformation in organizations, managing big data, as well as carrying out continuous information system development.

  • 341.
    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.

  • 342.
    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.

  • 343. 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)
  • 344. 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.

  • 345. 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)
  • 346.
    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.

  • 347. 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)
  • 348. 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)
  • 349.
    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.

  • 350. 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)
45678 301 - 350 of 357
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