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  • 1. Aid Kalle Dunkel, Laura Viktorya Chrsitina Matthias Wißotzki
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    State of research in reuse of enterprise models: Systematic literature analysis of CAISE, EMMSAD, ICIS and INCOM2012In: Proceedings of the IADIS International Conference on Information Systems, 2012, p. 82-90Conference paper (Refereed)
    Abstract [en]

    The importance of managing organizational knowledge of enterprises has been recognized for decades. The systematic development and reuse of organizational knowledge is expected to improve the competitiveness of the enterprise. While the practice of “reuse” is common in general computer science there is still a lack of surveys in regard to reuse in enterprise modeling. This document reviews four different papers presented at information systems conferences over the last seven years: CAISE, EMMSAD, ICIS, and INCOM. Our analysis indicates that the majority of research is realized by case studies, theoretical frameworks and mostly on business process modeling aspects of enterprise models.

  • 2.
    Albertsen, Thomas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Tarasov, Vladimir
    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).
    Modelling Network-based Defence: Success and Failure of an Enterprise Modelling Endeavour2010In: The Practice of Enterprise Modeling: Third IFIP WG 8.1 Working Conference / [ed] Patrick Van Bommel, Stijn Hoppenbrouwers, Sietse Overbeek, Erik Proper, Joseph Barjis, Berlin: Springer , 2010, p. 121-129Conference paper (Refereed)
    Abstract [en]

    Research projects have an inherent risk of failure, and learning howto cope with the risk is an important task for everyone involved. In order to doso it is necessary to share the knowledge of the experiences done during andafter the project. This paper investigates a recently completed enterprisemodeling research project and contributes with lessons learned andrecommendations for future enterprise modeling projects.

  • 3.
    Albertsen, Thomas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Tarasov, Vladimir
    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).
    Towards Competence Modeling and Competence Matching for Network-based Defense2007In: Proc. The 3rd International Conference on Military Technology, MilTech3, June 2007, Stockholm, 2007Conference paper (Other academic)
  • 4.
    Albertsen, Thomas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Tarasov, Vladimir
    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).
    Towards Competence Modeling and Competence Matching for Network-Based Defense2008In: Stockholm contributions in Military-Technology 2007 / [ed] M. Norsell, Stockholm: Swedish National Defence College , 2008, p. 9-22Chapter in book (Other academic)
  • 5.
    Albertsen, Thomas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Tarasov, Vladimir
    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).
    Competence demand modeling: case study2009Report (Other academic)
  • 6.
    Albertsen, Thomas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Tarasov, Vladimir
    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.
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Competence modeling and matching: frame concept2009Report (Other academic)
  • 7.
    Albertsen, Thomas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Tarasov, Vladimir
    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.
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Modellering av 312. luftburna kompaniet: KOMO - Projektrapport2009Report (Other academic)
  • 8.
    Asprion, Petra Maria
    et al.
    University of Applied Sciences and Arts Northwestern Switzerland, Basel, Switzerland.
    Balina, SigneUniversity of Latvia, Riga, Latvia.Forbrig, PeterUniversity of Rostock, Rostock, Germany.Kampars, JanisRiga Technical University, Riga, Latvia.Kirikova, MariteRiga Technical University, Riga, Latvia.Møller, CharlesAalborg University, Aalborg, Denmark.Morichetta, AndreaUniversity of Camerino, Camerino, Italy.Roelens, BenOpen University of the Netherlands, Heerlen, The Netherlands.Sandkuhl, KurtJönköping University, School of Engineering, JTH, Computer Science and Informatics. University of Rostock, Rostock, Germany.
    Proceedings of the workshops co-organized with the 13th IFIP WG 8.1 working conference on the Practice of Enterprise Modelling (PoEM 2020), On-line (originally located in Riga, Latvia), November 26, 20202020Conference proceedings (editor) (Refereed)
  • 9.
    Baer, Florian
    et al.
    University of Rostock, Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. University of Rostock, Rostock, Germany.
    Leyer, Michael
    University of Rostock, Rostock, Germany.
    Lantow, Birger
    University of Rostock, Rostock, Germany.
    DESERV IT: A method for devolving service tasks in IT services2021In: Business & Information Systems Engineering, ISSN 2363-7005, E-ISSN 1867-0202, Vol. 63, p. 419-439Article in journal (Refereed)
    Abstract [en]

    Nowadays, IT operations devolve many tasks in IT services to internal customers (i.e., IT self-service). The rationale for this service task devolvement is often to reduce the IT personnel’s workload. However, prior research has shown that IT operations often fail to achieve this goal. Existing methods for modeling and analyzing services fall short of supporting service providers in identifying and specifying service tasks suitable to be devolved to (internal) customers. This paper presents, therefore, the first method for devolving service tasks in IT services (DESERV IT). DESERV IT is a compound of four method components encompassing a joint meta-model, a visual notation for modeling IT services, and procedural recommendations. The DESERV IT meta-model extends the meta-model of service blueprinting by means of concepts required to analyze service task devolvement. DESERV IT is evaluated in four evaluation episodes. The results of the evaluation episodes show that DESERV IT is perceived as effective, useful, complete, and generalizable by experts in the IT service management and enterprise architecture discipline. This paper contributes to enterprise modeling by demonstrating the feasibility of DESERV IT in an example case and describing DESERV IT’s evolution during the evaluation episodes. DESERV IT supports practitioners (e.g., request fulfillment managers) in modeling and analyzing IT services.

  • 10.
    Barn, Balbir S.
    et al.
    Middlesex University, London, United Kingdom.
    Barat, Souvik
    Tata Consultancy Services Research, Pune, India.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. The University of Rostock, Rostock, Germany.
    Adaptation of enterprise modeling methods for large language models2024In: The practice of enterprise modeling: 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 – December 1, 2023, Proceedings, Cham: Springer, 2024, p. 3-18Conference paper (Refereed)
    Abstract [en]

    Large language models (LLM) are considered by many researchers as promising technology for automating routine tasks. Results from applying LLM in engineering disciplines such as Enterprise Modeling also indicate potential for the support of modeling activities. LLMs are fine-tuned for specific tasks using chat based interaction through the use of prompts. This paper aims at a detailed investigation of the potential of LLMs in Enterprise Modeling (EM) by taking the perspective of EM method adaptation of selected parts of the modeling process within the context of using prompts to interrogate the LLM. The research question addressed is: What adaptations in EM methods have to be made to exploit the potential of prompt based interaction with LLMs? The main contributions are (1) a meta-model for prompt engineering that integrates the concepts of the modeling domain under consideration with the notation of the modeling language applied and the input and output of prompts, (2) an investigation into the general potential of LLM in EM methods and its application in the 4EM method, and (3) implications for enterprise modeling methods.

  • 11.
    Barn, Balbir S.
    et al.
    Middlesex University, London, UK.
    Sandkuhl, KurtJönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. Rostock University, Rostock, Germany.
    The Practice of Enterprise Modeling: 15th IFIP WG 8.1 Working Conference, PoEM 2022, London, UK, November 23-25, 2022, Proceedings2022Conference proceedings (editor) (Refereed)
  • 12.
    Barn, Balbir
    et al.
    Middlesex University, Faculty of Science and Technology, London, UK.
    Sandkuhl, KurtJönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. University of Rostock, Institue of Computer Science, Rostock, Germany.Asensio, Estefanía SerralKU Leuven, Research Centre for Information Systems Engineering, Leuven, Belgium.Stirna, JanisStockholm University, Department of Computer and Systems Sciences, Stockholm, Sweden.
    Proceedings of the Forum at Practice of Enterprise Modeling 2021 (PoEM-Forum 2021), (PoEM 2021), Riga, Latvia, November 24-26, 20212021Conference proceedings (editor) (Refereed)
  • 13.
    Benkenstein, Martin
    et al.
    Institute for Business Administration, University of Rostock, Rostock, Germany.
    Fellmann, Michael
    Institute of Computer Science, University of Rostock, Rostock, Germany.
    Leyer, Michael
    Institute for Business Administration, University of Rostock, 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.
    The value of enterprise modelling: Towards a service-centric perspective2016In: The practice of enterprise modeling: 9th IFIP WG 8.1. Working Conference, PoEM 2016, Skövde, Sweden, November 8-10, 2016, Proceedings / [ed] Jennifer Horkoff, Manfred A. Jeusfeld & Anne Persson, Springer, 2016, p. 299-306Conference paper (Refereed)
    Abstract [en]

    Enterprise modeling is an important and widespread activity in managing enterprises. A well-founded conceptualization of its value is however missing so far which can be traced back to different understandings of constituents of enterprise modelling. Addressing these different understandings, we propose to take a service-centric perspective to determine the value of enterprise modelling. We describe the benefits of this perspective and justify our positioning regarding a service-centric perspective.

  • 14.
    Berzisa, Solvita
    et al.
    Riga Technichal University.
    Bravos, George
    University of Manchester.
    González, Tania Cardona
    Everis, Valencia.
    Czubayko, Ulrich
    SIV.AG, Roggentin.
    España, Sergio
    Polytechnic University of Valencia.
    Grabis, Janis
    Riga Technical University.
    Henkel, Martin
    Stockholms universitet.
    Jokste, Lauma
    Riga Technical University.
    Kampars, Janis
    Riga Technical University.
    Koç, Hasan
    University of Rostock.
    Kuhr, Jan-Christian
    SIV.AG, Roggentin.
    Llorca, Carlos
    Fresh T Ltd, Daresbury.
    Loucopoulos, Pericles
    University of Manchester.
    Pascual, Raúl Juanes
    Everis, Valencia.
    Pastor, Oscar
    Polytechnic University of Valencia.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Simic, Hrvoje
    Croz doo, Zagreb.
    Stirna, Janis
    Stockholms universitet.
    Valverde, Francisco Giromé
    Polytechnic University of Valencia.
    Zdravkovic, Jelena
    University of Rostock.
    Capability Driven Development: An Approach to Designing Digital Enterprises2015In: Business & Information Systems Engineering, ISSN 2363-7005, E-ISSN 1867-0202, Vol. 57, no 1, p. 15-25Article in journal (Refereed)
    Abstract [en]

    The need for organizations to operate in changing environments is addressed by proposing an approach that integrates organizational development with information system (IS) development taking into account changes in the application context of the solution. This is referred to as Capability Driven Development (CDD). A meta-model representing business and IS designs consisting of goals, key performance indicators, capabilities, context and capability delivery patterns, is being proposed. The use of themeta-model is validated in three industrial case studies as part of an ongoing collaboration project, whereas one case is presented in the paper. Issues related to the use of the CDD approach, namely, CDD methodology and tool support are also discussed.

  • 15.
    Billig, Andreas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Erdmann, H.-W
    Nentwig, L
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Mecomp.net: Organisational, Sociological and Technological Aspects of a Community Network in the Field of Education and Employment2003In: Eleventh Euromicro Conference on Parallel, Distributed, and Network-Based Processing : proceedings: Genova, Italy, February 5-7, 2003, Los Alamitos, Calif.: IEEE Computer Society Press , 2003, p. 507-515Conference paper (Other (popular science, discussion, etc.))
  • 16.
    Billig, Andreas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Gottschick, J
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Evolution of Web Computing Systems: Experiences from Web-Portal Projects2005In: Proceedings 31st EUROMICRO Conference on Software Engineering and Advanced Applications, August 30-September 3, 2005, Porto, Portugal, Los Alamitos, Calif.: IEEE Computer Society , 2005Conference paper (Other (popular science, discussion, etc.))
  • 17.
    Billig, Andreas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Basic Support for Evolutionary Web-Portals: The BaSeWeP Approach2000In: Proceedings IASTED 2000, Las Vegas (USA), November 2000., 2000Conference paper (Other (popular science, discussion, etc.))
  • 18.
    Billig, Andreas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Enterprise Ontology based Artefact Management2008In: INFORMATIK 2008, Beherrschbare Systeme - dank Informatik: Workshop Applications of Semantic Technologies, 2008, p. 681-687Conference paper (Refereed)
    Abstract [en]

    Structuring enterprise information and supporting knowledge management is a growing application field for enterprise ontologies. Based on an industrial case from automotive supplier industries, the paper proposes the use of an ontology for artefact management in engineering of dependable systems, illustrated by the tool ArtefactManager. Navigation and search in the Artefact­Manager is performed using categorizations of artefacts by means of so-called taxonomic paths through the enterprise ontology. One of the main challenges is to permit evolution at least for those parts of the ontology which are used for categorizing artefacts. This paper introduces an approach to support the evolution process on the taxonomy level in conjunction with the level of categorizations.

  • 19.
    Billig, Andreas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Match-Making based on Semantic Nets: The XML-based BaSeWeP Approach2002In: XSW 2002: XML-Technologien für das Semantic Web: Proceedings zum Workshop, Bonn: Ges. für Informatik , 2002Conference paper (Other (popular science, discussion, etc.))
  • 20.
    Billig, Andreas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Ontology-based Domain Repository.2004In: The knowledge gap in enterprise information flow: infomation logistics concepts and technologies for improving information flow in networked organisations : the 2nd Ljungby Workshop on Information Logistics, Jönköping: School of Engineering , 2004Conference paper (Other academic)
  • 21.
    Billig, Andreas
    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 ontology-based requirements management in automotive electronics2006In: Information Control Problems in Manufacturing, 2006Conference paper (Other (popular science, discussion, etc.))
  • 22.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Levashova, Tatiana
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Smirnov, Alexander
    Formation of Enterprise Networks for Collaborative Engineering2005In: Post-conference proceedings of 3rd International Workshop on Collaborative Engineering, Sopron (Hungary), 2005Conference paper (Refereed)
  • 23.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Levashova, Tatiana
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Smirnov, Alexander
    Tarasov, Vladimir
    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).
    Configuration of Dynamic SME Supply Chains Based on Ontologies2005In: Holonic and Multi-Agent Systems for Manufacturing: Second International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2005, Copenhagen, Denmark, August 22-24, 2005. Proceedings / [ed] V. Marik, R. W. Brennan & M. Pechoucek, Springer Berlin/Heidelberg, 2005, p. 246-256Conference paper (Refereed)
    Abstract [en]

    Due to the increasing implementation of agile and networked manufacturing, supply chain has entered a new phase, virtual supply chain. The phase is characterized by the integration of activities, operations, and functions carried out at different and geographically distributed supply chain stages. The paper proposes an approach to the configuration of a network of small and medium-sized enterprises (SMEs) being integrated into a supply chain. The SME supply chain configuration is based on a shared domain ontology for supply chain management, offering the configuration task as a function of supply chain management. Principles of the development of the shared ontology and possible ways of matching between enterprise and domain ontologies are considered.

  • 24.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Patterns in Ontology Engineering – Classification of Ontology Patterns2005In: ICEIS 2005: proceedings of the Seventh International Conference on Enterprise Information Systems, Miami, USA, May 25-28, 2005, 2005, p. 4-Conference paper (Other academic)
    Abstract [en]

    In Software Engineering, patterns are an accepted way to facilitate and support reuse. This paper focuses on patterns in the field of Ontology Engineering and proposes a classification scheme for ontology patterns. The scheme divides ontology patterns into five levels: Application Patterns, Architecture Patterns, Design Patterns, Semantic Patterns, and Syntactic Patterns. Semantic and Syntactic Patterns are quite well-researched but the higher levels of pattern abstraction are so far almost unexplored. To illustrate the possibilities of patterns on

    these levels some examples are discussed, together with ideas of future work.

  • 25.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, KurtJönköping University, School of Engineering, JTH. Research area Information Engineering.Scharffe, FrancoisSvatek, Vojtek
    Proceedings of the Workshop on Ontology Patterns (WOP 2009): at 8th International Semantic Web Conference, Washington D.C., October 25-29, 20092009Conference proceedings (editor) (Other (popular science, discussion, etc.))
    Abstract [en]

    High-quality and reusable ontologies are considered as key element of the Semantic Web and for successful semantic applications. Ontology Design Patterns (ODPs) are addressing these quality and reusability issues by providing different types of patterns supporting ontology designers. ODPs are collected in various repositories, such as the catalogue maintained by the University of Manchester and the ODP portal at small and do not cover all types of patterns and all domains. Semantic Web applications could also benefit from additional types of patterns, such as enterprise model patterns and specialized software patterns for semantic applications.

    Patterns are an approach to knowledge reuse that proved feasible and very beneficial in various areas, such as software engineering and data modeling. Reuse has been an important research subject in ontology engineering and the semantic web community for many years. Patterns need to be shared by a community in order to provide a common language and stimulate pattern usage and development. Hence, the aim of this workshop was twofold

    - providing an arena for proposing and discussing good practices, patterns, pattern-based ontologies, systems etc

    - broadening the pattern community that will develop its own “language” for discussing and describing relevant problems and their solutions.

    The workshop included a track for research papers addressing various aspects of ontology patterns and investigating application areas, and a pattern track focusing on presentation and discussion of actual ontology patterns.

  • 26.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Comparing and Evaluating Ontology Construction in an Enterprise Context2008In: Enterprise Information Systems: 8th International Conference, ICEIS 2006, Paphos, Cyprus, May 23-27, 2006, Revised Selected Papers, Berlin-Heidelberg: Springer , 2008, Vol. 3, p. 221-240Chapter in book (Other academic)
    Abstract [en]

    Structuring enterprise information and supporting knowledge management is a growing application field for enterprise ontologies. Research work presented in this paper focuses on construction of enterprise ontologies. In an experiment, two methods were used in parallel when developing an ontology for a company in automotive supplier industries. One method is based on automatic ontology construction, the other method is a manual approach based on cookbook-like instructions. The paper compares and evaluates the methods and their results. For ontology evaluation, selected approaches were combined including both evaluation by ontology engineers and evaluation by domain experts. The main conclusion is that the compared methods have different strengths and an integration of both developed ontologies and used methods should be investigated.

  • 27.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Ontology Construction in an Enterprise context: Comparing and Evaluating two Approaches2006In: Proceedings of 8th International Conference on Enterprise Information Systems, Paphos, Cyprus, May 2006, 2006, p. 8-Conference paper (Refereed)
    Abstract [en]

    Structuring enterprise information and supporting knowledge management is a growing application field for enterprise ontologies. Research work presented in this paper focuses on construction of enterprise ontologies. In an experiment, two methods were used in parallel when developing an ontology for a company in automotive supplier industries. One method is based on automatic ontology construction, the other method is a manual approach based on cookbook-like instructions. The paper compares and evaluates the methods and their results. For ontology evaluation, selected approaches were combined including both evaluation by ontology engineers and evaluation by domain experts. The main conclusion is that the compared methods have different strengths and an integration of both developed ontologies and used methods should be investigated.

  • 28.
    Borchardt, Ulrike
    et al.
    University of Rostock.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Stamer, Dirk
    University of Rostock.
    MeinKosmos - Konzept zur Realisierung des KOSMOS-Portals zur medialen Unterstützung2015In: Öffnung der Hochschule durch Wissenschaftliche Weiterbildung: Werkstattberichte aus dem Projekt KOSMOS der Universität Rostock / [ed] Freytag-Loringhoven, Konstantin von; Göbel, Stefan, München: Akademische Verlagsgemeinschaft München, 2015, p. 233-252Chapter in book (Other academic)
  • 29. Bär, Florian
    et al.
    Leyer, Michael
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Reducing the IT Personnel’s Workload in IT Self-Services2018In: SMR - Journal of Service Management Research, Vol. 2, no 4, p. 19-32Article in journal (Refereed)
    Abstract [en]

    IT operations aims to reduce the IT personnel’s workload in IT self-services, which is not self-evident. This study explores how the IT personnel’s workload can be reduced in IT self-services. A multiple-case study with five IT self-services was conducted. Data was collected from two German IT service providers and a European software company. The problem causing a non-reduction of the IT personnel’s workload in IT self-services is a lack of service production control and it is rooted in knowledge and skill gaps and a free IT self-service outcome. The two solutions to that problem comprise the adoption of five behavioral patterns: chargeback and limitation, standardization of the IT self-service, authorization of employee orders, showback, and training and support. This study is first revealing the mechanisms how IT self-services can be operated successfully from a service operations perspective.

  • 30.
    Bär, Florian
    et al.
    University of Rostock, Munich University of Applied Sciences, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics. University of Rostock, Germany.
    Schmidt, Rainer
    Munich University of Applied Sciences, Germany.
    On the Maturity of Service Process Modeling and Analysis Approaches2016In: 19th International Conference, BIS 2016, Proceedings, Leipzig, July 6-8, 2016. / [ed] Witold Abramowicz, Rainer Alt, Bogdan Franczyk, Springer, 2016, Vol. 255, p. 356-367Conference paper (Refereed)
    Abstract [en]

    Prior research has provided a number of approaches for the specification and analysis of service processes. However, little is known about their level of maturity regarding considered dimensions and characteristics. The present study represents a first step towards filling this gap. Drawing upon recent formalizations and delineations of service, a model for assessing the maturity of service modeling and analysis tools is derived. As part of a systematic literature review, it is applied to a set of 47 service blueprinting techniques to determine their maturity. The study’s findings indicate a high level of maturity regarding control flow and resource integration for most of the identified approaches. However, there are several shortcomings with respect to the input and output dimensions of the service process. The study proposes a set of research questions to stimulate future research and address the identified shortcomings.

  • 31.
    Cardoso, Jorge
    et al.
    SAP Research Dresden.
    van der Aalst, Wil
    Eindhoven University of Technology.
    Bussler, Christoph
    Merced Systems.
    Sheth, Amit
    Wright State University.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Inter-enterprise System and Application Integration: A Reality Check2008In: Enterprise Information Systems: 9th ICEIS 2007, Revised Selected Papers, Heidelberg: Springer , 2008, p. 3-15Chapter in book (Other academic)
    Abstract [en]

    This paper structures the summary of the panel held at the 9th International Conference on Enterprise Information Systems, Funchal, Madeira, 12-16 June 2007 that addressed the following question: "Are you still working on Inter-Enterprise Systems and Application Integration?" The panel aggregated distinguished experts from the areas of process management, workflow, Web services, SOA, and Semantic Web.

  • 32.
    Carstensen, Anders
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Holmberg, Lennart
    Högberg, Per
    Johnsen, Svein G
    Karlsen, Dag
    Lillehagen, Frank
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Stirna, Janis
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Integrating Requirement and Solution Modelling: Approach and Experiences.2007In: Proc. of the Workshop on Exploring Modeling Methods for Systems Analysis and Design (EMMSAD'07), Trondheim, Norway., 2007Conference paper (Other academic)
  • 33.
    Carstensen, Anders
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Holmberg, Lennart
    Högberg, Per
    Karlsen, Dag
    Lillehagen, Frank
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Stirna, Janis
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Integrating Requirement and Solution Modelling: Approach and Experiences2007In: The 12th Workshop on Exploring Modelling Methods for Information Systems Analysis and Design (EMMSAD), 2007Conference paper (Refereed)
    Abstract [en]

    We discuss how an Enterprise Modelling approach, namely C3S3P, has been applied in an automotive supplier company. The paper concentrates on the phases of the C3S3P development process such as Concept Study, Scaffolding, Scoping, and Requirements Modelling. We have also presented the concept of task pattern which has been used in the MAPPER project for capturing, documenting and sharing best practices concerning business processes in organisation. Within this application context we have analysed our experiences concerning stakeholder participation and task pattern development.

  • 34.
    Carstensen, Anders
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Holmberg, Lennart
    Kongsberg Automotive.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Modelling Interoperability in Networked Organisations with the Connector Concept2009In: Proceedings of the 13th IFAC Symposium on Information Control Problems in Manufacturing: Enabling Reuse in Enterprise Systems Engineering, 2009, p. 916-921Conference paper (Refereed)
    Abstract [en]

    Enterprise interoperability has been a research subject more than 2 decades and still offers numerous challenges for the scientific community. Based on an industrial case from automotive supplier industry and earlier work on variability modelling, this paper proposes to address enterprise interoperability by identifying correspondences and developing stepwise adjustment of enterprise models. The approach presented, called Connector Concept, puts equal focus on process and product knowledge when specifying interoperability requirements and has the long-term ambition to generate interfaces between IT-systems based on model integration. The main contributions of the work are (1) an initial method for connecting enterprise models of collaborating enterprises, (2) use of feature modelling for identification of interoperability requirements in product knowledge, and (3) an industrial case showing a concrete example and offering first experiences with the above approaches.

  • 35.
    Carstensen, Anders
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Holmberg, Lennart
    Kongsberg Automotive.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Supporting Collaboration in an Extended Enterprise with the Connector View on Enterprise Models2009In: The practice of Enterprise Modeling, PoEM 2008: First IFIP WG 8.1 Working Conference, PoEM 2008, Stockholm, Sweden, November 12-13, 2008. Proceedings, Berlin, Heidelberg: Springer , 2009, p. 111-126Conference paper (Refereed)
    Abstract [en]

    The work presented in this paper aims at contributing to enterprise interoperability. The focus is on collaboration in extended enterprises as general application field and active knowledge models as underlying technology. The starting point for the paper is an application case from automotive industry, where active knowledge models were developed for essential product development tasks. The paper concerns the development of a connector between these active knowledge models in order to support collaboration between two partners. The focus is on the operationalising phase of the connector development and on experiences. One result from this work is to propose three levels for the modeling, depending on the maturity level of the collaboration - searching for a partner, modeling existing collaboration and enhancing collaboration through detailed modeling.

  • 36.
    Carstensen, Anders
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Holmberg, Lennart
    Kongsberg Automotive.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Stirna, Janis
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Integrated Requirement and Solution Modeling: An Approach Based on Enterprise Models2008In: Innovations in Information Systems Modeling: Methods and Best Practices, Hershey, PA: Information Science Reference , 2008, p. 89-105Chapter in book (Other academic)
    Abstract [en]

    We discuss how an Enterprise Modeling approach, namely C3S3P has been applied in an automotive supplier company. The chapter concentrates on the phases of the C3S3P development process such as Concept Study, Scaffolding, Scoping, and Requirements Modeling. We have also presented the concept of task pattern which has been used for capturing, documenting and sharing best practices concerning business processes in an organization. Within this application context we have analyzed our experiences concerning stakeholder participation and task pattern development. We have also described how we have derived four different categories of requirements from scenario descriptions for the task patterns and from modeling of the task patterns.

  • 37.
    Carstensen, Anders
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Levashova, Tatiana
    St. Petersburg Institute for Informatics and Automation RAS, Russia.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Shilov, Nikolay
    St. Petersburg Institute for Informatics and Automation RAS, Russia.
    Smirnov, Alexander
    St. Petersburg Institute for Informatics and Automation RAS, Russia.
    Knowledge Supply for SME Networks: Application Cases and Selected Technical Approaches2011In: E-Business Issues, Challenges and Opportunities for SMEs: Driving Competitiveness / [ed] Maria Manuela Cruz-Cunha, Joao Varajao, Hershey, Pa.: IGI Global, 2011, p. 149-172Chapter in book (Refereed)
    Abstract [en]

    Current trends of globalisation and increased competition require new forms of organisation and work support. Especially in small and medium sized enterprises (SME), the competitiveness and future market position of an enterprise is closely related to the ability of cooperating with partners in SME networks or virtual supplier organisations. In complex work processes with a number of distributed partners, high requirements with respect to competence and a lot of rules and guidelines to be obeyed; detecting and sharing knowledge among different members of networked organizations is an important issue. Based on an empirical investigation regarding the demands of SME and illustrating this demand with industrial cases, this paper investigates two technical approaches supporting knowledge supply in networked organizations: enterprise modeling and self-organisation of flexible supply networks. These approaches are presented with related work and their limits and potentials.

  • 38.
    Carstensen, Anders
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Coordination of Inter-Organisational Healthcare Processes: Experiences from Combining Process- and Document Centred Modelling2005In: Proceedings of Communication and Coordination in Business Processes: the international workshop in Kiruna, Sweden, June 22, 2005, Linköping: Linköpings universitet , 2005Conference paper (Other academic)
  • 39. Christiner, Frank
    et al.
    Lantow, Birger
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Wißotzki, Matthias
    Multi-dimensional Visualization in Enterprise Modeling2012In: Business Information Systems Workshops: BIS 2012 International Workshops and Future Internet Symposium, Vilnius, Lithuania, May 21-23, 2012 Revised Papers / [ed] Witold Abramowicz, John Domingue, Krzysztof Węcel, Springer, 2012, p. 139-152Conference paper (Refereed)
    Abstract [en]

    Enterprise modeling (EM) is a discipline supporting business and IT alignment by providing means for capturing, visualizing and improving different perspectives of an enterprise, including processes,organization structures, products, systems, and business objectives. However, there is a lot of relevant information besides the one presented in enterprise models. Including such information into enterprise models or an integrated presentation of model and data view is supposed to ease decision making for stakeholders in organizations by providing contextual information for the decision at hand. Additional information however usually means additional complexity. This paper explores possibilities of an integrated presentation guided by the following questions: (1) What kind of complementary information should be visualized in an enterprise model?  (2) How can the information be visualized?  (3) How can the content of a specific visualization be adapted by the business stakeholder using it?

    Possibilities and benefits of enhancing the existing enterprise models with visualization of additional information are illustrated using a small case study.

  • 40.
    Clark, Tony
    et al.
    Aston University, College of Engineering and Physical Sciences, Birmingham, UK.
    Zschaler, SteffenKing's College London, London, UK.Barn, BalbirMiddlesex University, Faculty of Science and Technology, London, UK.Sandkuhl, KurtJönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. University of Rostock, Rostock, Germany.
    Proceedings of the Forum at Practice of Enterprise Modeling 2022 (PoEM-Forum 2022) co-located with PoEM 2022, London, United Kingdom, November 23-25, 20222022Conference proceedings (editor) (Refereed)
  • 41. Degbelo, Auriol
    et al.
    Matongo, Tanguy
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Enterprise Models as Interface for Information Searching2010In: Perspectives in Business Informatics Research 9th International Conference, BIR 2010, Rostock Germany, September 29–October 1, 2010. Proceedings / [ed] Peter Forbrig and Horst Günther, Rostock: Springer , 2010, p. 27-42Conference paper (Refereed)
    Abstract [en]

    Enterprise knowledge modelling in general offers methods, tools and approaches for capturing knowledge about processes and products in formalized models in order to support organizational challenges. From the perspective of information systems development, the use of enterprise models traditionally is very strong in the earlier development phases, whereas approaches for applying enterprise models in later development phases exist, but are not as intensely researched and elaborated. We argue that enterprise models should be considered as carrier of enterprise knowledge, which can be used to a larger extent in creating actable solutions for enterprise problems. With competence supply as an example, the focus of the paper is on using enterprise models as interface for information searching. The main contributions of the paper are (1) to show that it is feasible and produces pertinent results to use enterprise models for expressing information demand, (2) architecture and implementation of an IT solution for this purpose and (3) lessons learned from validating this approach.

  • 42.
    Dehne, A.
    et al.
    Rostock University, Albert-Einstein-Str. 22, Rostock, 18059, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. Rostock University, Albert-Einstein-Str. 22, Rostock, 18059, Germany.
    Variability modelling in enterprise architecture management: survey on existing approaches2023In: CEUR Workshop Proceedings, CEUR , 2023, Vol. 3514, p. 94-107Conference paper (Refereed)
    Abstract [en]

    Managing and dealing with variability is a common challenge in the daily practice of many enterprises and organizations. Recent studies have observed that digital transformation and artificial intelligence solutions lead to changes in enterprises that simultaneously require variability on several levels of an enterprise (for example, business processes, data architecture, and services). Enterprise architecture models are considered a suitable way to visualize and manage dependencies between different levels of an enterprise. Still, there is not much work on managing variability in enterprise architectures. This paper aims to structure the existing research work and tribute to a better understanding of future investigation needs. We argue that there is a need for new constructs in enterprise architecture models that allow for expressing dependencies between variations on different enterprise architecture levels.

  • 43. Deiters, W
    et al.
    Kutsche, RSandkuhl, KurtJönköping University, School of Engineering, JTH. Research area Information Engineering.
    Knowledge Supply and Information Logistics in Enterprises and Networked Organisations: Proceedings Intl. Workshop, associated with Multikonferenz on Wirtschaftsinformatik, Essen (Germany), March 2004, infix2004Conference proceedings (editor) (Other (popular science, discussion, etc.))
  • 44.
    Deiters, Wolfgang
    et al.
    Fraunhofer ISST, Germany.
    Mirijamdotter, Anita
    Linneaus University, Växjö.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    ILOG 2010 Workshop Chairs' Message2010Other (Other academic)
  • 45. Di Nitto, E
    et al.
    Hall, R.JHan, JHan, YPolini, ASandkuhl, KurtJönköping University, School of Engineering, JTH. Research area Information Engineering.Zisman, A
    International workshop on service oriented software engineering (IW-SOSE'06): In Proceeding of the 28th international Conference on Software Engineering (Shanghai, China, May 20 - 28, 2006). ICSE '06.2006Conference proceedings (editor) (Other (popular science, discussion, etc.))
  • 46. Diadiushkin, Alexander
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Maiatin, Alexandr V.
    Fraud Detection in Instant Payments as Contribution to Digitalization in Banks2019In: Joint Proceedings of the BIR 2019 Workshops and Doctoral Consortium co-located with 18th International Conference on Perspectives in Business Informatics Research (BIR 2019), Katowice, Poland, September 23-25, 2019, CEUR-WS.org , 2019, Vol. 2443, p. 107-117Conference paper (Refereed)
  • 47.
    Diadiushkin, Alexandr
    et al.
    University of Rostock, Rostock, Germany; ITMO University, St. Petersburg, Russia.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. University of Rostock, Rostock, Germany; ITMO University, St. Petersburg, Russia.
    Maiatin, Alexander
    ITMO University, St. Petersburg, Russia.
    Fraud Detection in Payments Transactions: Overview of Existing Approaches and Usage for Instant Payments2019In: Complex Systems Informatics and Modeling Quarterly, E-ISSN 2255-9922, Vol. 20, p. 72-88Article in journal (Refereed)
    Abstract [en]

    Financial industries are undergoing a digital transformation of their products, services, overall business models. Part of this digitalization in banking aims at automating most of the manual work in payment handling and integrating the workflows of involved service providers. The focus of the work presented in this paper is on fraud discovery and steps to fully automate it. Fraud discovery in financial transactions has become an important priority for banks. Fraud is increasing significantly with the expansion of modern technology and global communication, which results in substantial damages for the banks. Instant payment (IP) transactions cause new challenges for fraud detection due to the requirement of short processing time. The paper investigates the possibility to use artificial intelligence in IP fraud detection. The main contributions of our work are (a) an analysis of problem relevance from business and literature perspective, (b) a proposal for technological support for using AI in fraud detection of instant payment transactions, and (c) a feasibility study of selected fraud detection approaches.

  • 48.
    Dirk, Stamer
    et al.
    University of Rostock, Germany.
    Andrew, Ponomarev
    St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), St. Petersburg, Russia.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. University of Rostock, Germany.
    Shilov, Nikolay
    St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), St. Petersburg, Russia.
    Smirnov, Alexander
    St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS), St. Petersburg, Russia; ITMO University, St. Petersburg, Russia.
    Collaborative Recommendation System for Improved Information Logistics: Adaption of Information Demand Pattern in E-Mail Communication2014In: 7th International Workshop on Information Logistics and Knowledge Supply at the 13th International Conference on Perspectives in Business Informatics Research, Lund, Sweden, September 23-25, 2014: Workshop Proceedings / [ed] Kurt Sandkuhl & Ulf Seigerroth, CEUR-WS , 2014, p. 35-48Conference paper (Refereed)
  • 49. Dunkel, Kalle Aid
    et al.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Wißotzki, Matthias
    University of Rostock.
    Supporting Regulatory Compliance by Pattern Detection in Enterprise Models: Approach and Application2013In: Manufacturing Modelling, Management, and Control / [ed] Bakhtadze, Natalia; Chernyshov, Kirill; Dolgui, Alexandre; Lototsky, Vladimir, Elsevier, 2013, p. 987-992Conference paper (Refereed)
    Abstract [en]

    Many industries are facing a continuously changing business environment which partly is caused by new regulations and bylaws from regulating authorities. Ensuring compliance can cause substantial efforts, since conformance checks of business processes and organizational structures often have to be performed manually. The paper contributes to reducing these efforts by proposing tool support for analyzing enterprise models with the aim to use patterns for identifying potentially non-compliant parts of such models. Design patterns have been a fundamental tool for software development for many years. The approach of having predefined solutions can be beneficial for the purpose of compliance assessment as well. To this end a method to search and detect patterns within enterprise models is an important step. Based on a motivating scenario from automotive supplier industries, the paper proposes an approach and introduces a prototypical tool that finds similar matches to a given pattern by use of template matching with the normalized cross correlation as metric.

  • 50.
    Erdmann, S.
    et al.
    Rostock University, Albert-Einstein-Str. 22, Rostock, 18059, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. Rostock University, Albert-Einstein-Str. 22, Rostock, 18059, Germany.
    On Application Potential of Robotic Process Automation in Small Enterprises2022In: CEUR Workshop Proceedings: Joint of the BIR 2022 Workshops and Doctoral Consortium, BIR-WS 2022 / [ed] H. Koç, J. Stirna, K. Sandkuhl, U. Seigerroth, M. Kirikova, P. Forbrig, C. Møller, A. Gutschmidt, B. Johansson, CEUR-WS , 2022, Vol. 3223, p. 70-78Conference paper (Refereed)
    Abstract [en]

    The potential of Robotic Process Automation (RPA) for enterprises is undisputed and includes automation of routine tasks, improvement of data quality or reduction of monotonous tasks. However, our observation from projects with enterprises is that much of this potential is clearly visible in larger enterprises but not so obvious in small enterprises. SMEs often show a lower readiness to invest time and resources in new technologies. Thus, application fields requiring an investment are not exploited by SMEs. So, what is the real application potential of RPA in SMEs? Are there typical application scenarios with potentially high benefits that SMEs should focus on? This is the focus of this paper. We will address the question of application potential primarily from a qualitative perspective, i.e. the aim is not to quantify the potential but to qualify the application fields. The contributions of this paper are (1) an innovative dataspace as an example case for business model development, (2) an approach to support business model development based on data value chains and reference enterprise architectures, and (3) analysis of existing literature in the field. © 2020 Copyright for this paper by its authors.

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