Change search
Link to record
Permanent link

Direct link
BETA
Alternative names
Publications (10 of 354) Show all publications
Sandkuhl, K. & Seigerroth, U. (2019). Method engineering in information systems analysis and design: a balanced scorecard approach for method improvement. Software and Systems Modeling, 18(3), 1833-1857
Open this publication in new window or tab >>Method engineering in information systems analysis and design: a balanced scorecard approach for method improvement
2019 (English)In: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. 18, no 3, p. 1833-1857Article in journal (Refereed) Published
Abstract [en]

Modeling methods have been proven to provide beneficial instrumental support for different modeling tasks during information system analysis and design. However, methods are a complex phenomenon that include constructs such as procedural guidelines, concepts to focus on, visual representations and cooperation principles. In general, method development is an expensive task that usually involves many stakeholders and results in various method iterations. Since methods and method development are complex in nature, there is a need for a well-structured and resource-efficient approach for method improvement. This paper aims to contribute to the field of method improvement by proposing a balanced scorecard-based approach and by reporting on experiences from developing and using it in the context of a method for information demand analysis. The main contributions of the paper are as follows: (1) It provides a description of the process for developing a scorecard for method improvement; (2) it shows how the scorecard as such can be used as a tool for improving a specific method; and (3) it discusses experiences from applying the scorecard in industrial settings.

Place, publisher, year, edition, pages
Springer, 2019
National Category
Computer Engineering
Identifiers
urn:nbn:se:hj:diva-41383 (URN)10.1007/s10270-018-0692-3 (DOI)000468996100016 ()2-s2.0-85053028430 (Scopus ID)HOA JTH 2019 (Local ID)HOA JTH 2019 (Archive number)HOA JTH 2019 (OAI)
Available from: 2018-09-07 Created: 2018-09-07 Last updated: 2019-06-13Bibliographically approved
Tarasov, V., Seigerroth, U. & Sandkuhl, K. (2019). Ontology development strategies in industrial contexts. In: Abramowicz W., Paschke A. (Ed.), Business Information Systems Workshops. BIS 2018.: . Paper presented at 21st International Conference on Business Information Systems, BIS 2018, Berlin, Germany, in July 2018 (pp. 156-167). Cham: Springer, 339
Open this publication in new window or tab >>Ontology development strategies in industrial contexts
2019 (English)In: Business Information Systems Workshops. BIS 2018. / [ed] Abramowicz W., Paschke A., Cham: Springer, 2019, Vol. 339, p. 156-167Conference paper, Published 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.

Place, publisher, year, edition, pages
Cham: Springer, 2019
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348
Keywords
Business and it alignment, Industrial development context, Knowledge management, Ontology engineering, Information use, Knowledge based systems, Business and it alignments, Business requirement, Industrial development, Influential factors, Ontology development, Shared understanding, Technical constraints, Ontology
National Category
Information Systems
Identifiers
urn:nbn:se:hj:diva-43205 (URN)10.1007/978-3-030-04849-5_14 (DOI)2-s2.0-85061575353 (Scopus ID)9783030048488 (ISBN)
Conference
21st International Conference on Business Information Systems, BIS 2018, Berlin, Germany, in July 2018
Available from: 2019-02-27 Created: 2019-02-27 Last updated: 2019-08-21Bibliographically approved
Timm, F. & Sandkuhl, K. (2018). A Reference Enterprise Architecture for Holistic Compliance Management in the Financial Sector. In: 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: . Paper presented at ICIS 2018, San Francisco, CA, USA, December 13-16, 2018. Association for Information Systems
Open this publication in new window or tab >>A Reference Enterprise Architecture for Holistic Compliance Management in the Financial Sector
2018 (English)In: 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, Published paper (Refereed)
Place, publisher, year, edition, pages
Association for Information Systems, 2018
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-43164 (URN)
Conference
ICIS 2018, San Francisco, CA, USA, December 13-16, 2018
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-02-21
Timm, F., Klohs, K. & Sandkuhl, K. (2018). Application of Inductive Reference Modeling Approaches to Enterprise Architecture Models. In: Business Information Systems - 21st International Conference, BIS 2018, Berlin, Germany, July 18-20, 2018, Proceedings: . Paper presented at Business Information Systems 2018 (pp. 45-57). Springer, 320
Open this publication in new window or tab >>Application of Inductive Reference Modeling Approaches to Enterprise Architecture Models
2018 (English)In: Business Information Systems - 21st International Conference, BIS 2018, Berlin, Germany, July 18-20, 2018, Proceedings, Springer , 2018, Vol. 320, p. 45-57Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2018
Series
Lecture Notes in Business Information Processing
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-43163 (URN)10.1007/978-3-319-93931-5$\backslash$_ 4 (DOI)
Conference
Business Information Systems 2018
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-02-21
Koç, H., Sandkuhl, K., Stirna, J. & Kuhr, J.-C. (2018). Capability as a Service: Method and Tool Support for Context-Aware Business Services. IJISSS, 10(3), 64-84
Open this publication in new window or tab >>Capability as a Service: Method and Tool Support for Context-Aware Business Services
2018 (English)In: IJISSS, Vol. 10, no 3, p. 64-84Article in journal (Refereed) Published
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-43170 (URN)10.4018/IJISSS.2018070104 (DOI)
Available from: 2019-02-20 Created: 2019-02-20 Last updated: 2019-02-20
Sandkuhl, K. & Stirna, J. (Eds.). (2018). Capability management in digital enterprises. Cham: Springer
Open this publication in new window or tab >>Capability management in digital enterprises
2018 (English)Collection (editor) (Other academic)
Place, publisher, year, edition, pages
Cham: Springer, 2018. p. 396
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-43133 (URN)10.1007/978-3-319-90424-5 (DOI)978-3-319-90423-8 (ISBN)978-3-319-90424-5 (ISBN)
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-04-08Bibliographically approved
Sandkuhl, K. & Stirna, J. (2018). Capability thinking. In: Kurt Sandkuhl & Janis Stirna (Ed.), Capability management in digital enterprises: (pp. 1-24). Cham: Springer
Open this publication in new window or tab >>Capability thinking
2018 (English)In: Capability management in digital enterprises / [ed] Kurt Sandkuhl & Janis Stirna, Cham: Springer, 2018, p. 1-24Chapter in book (Other academic)
Abstract [en]

Capability thinking characterizes an organizational mindset. It puts capabilities in focus of the business model and information systems development. Capability thinking is expected to help organizations and in particular digital enterprises increase flexibility and agility in adapting to changes in their economic and regulatory environments. Capability management denotes the principles and organizational means of how capability thinking should be implemented in an organization. This book is devoted to capability management in digital enterprises, and the capability-driven development (CDD) methodology in particular. This chapter introduces the basic principles of capability thinking, such as the business needs for context-dependent and adaptable business solutions, key aspects of capability thinking, capability management life cycle, and the principle of method component used to structure the CDD methodology. The chapter is rounded up with a presentation of the rest of chapters in this book.

Place, publisher, year, edition, pages
Cham: Springer, 2018
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-43135 (URN)10.1007/978-3-319-90424-5_1 (DOI)978-3-319-90423-8 (ISBN)978-3-319-90424-5 (ISBN)
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-04-08Bibliographically approved
Koç, H. & Sandkuhl, K. (2018). Context modelling in capability management. In: Kurt Sandkuhl & Janis Stirna (Ed.), Capability management in digital enterprises: (pp. 117-138). Cham: Springer
Open this publication in new window or tab >>Context modelling in capability management
2018 (English)In: Capability management in digital enterprises / [ed] Kurt Sandkuhl & Janis Stirna, Cham: Springer, 2018, p. 117-138Chapter in book (Refereed)
Abstract [en]

In the capability-driven development (CDD) approach, a capability is defined by specific business services, a defined application context for these business services, and goals of the enterprise to be reached. To this end, the context modelling method component (CMMC) supports specifying the potential application context where the capability is supposed to be deployed. This specification also captures at what points in the process what variation will have to happen. The specification of the deployment contexts in which a capability can be used is captured in a context model. This chapter presents the CMMC in terms of the modelling constructs (language) and the methodology for capturing and documenting context. The methodology consists of three main components—capture context elements, design context set, and prepare for operational use.

Place, publisher, year, edition, pages
Cham: Springer, 2018
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-43169 (URN)10.1007/978-3-319-90424-5_ 7 (DOI)978-3-319-90423-8 (ISBN)978-3-319-90424-5 (ISBN)
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-04-08Bibliographically approved
Sandkuhl, K. & Alexander, S. (2018). Context-oriented Knowledge Management in Production Networks. Applied Computer Systems
Open this publication in new window or tab >>Context-oriented Knowledge Management in Production Networks
2018 (English)In: Applied Computer Systems, ISSN 22558691Article in journal (Refereed) Published
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-43145 (URN)10.2478/acss-2018-0011 (DOI)
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-02-21
Zimmermann, A., Schmidt, R., Sandkuhl, K., Jugel, D., Bogner, J. & Möhring, M. (2018). Decision-oriented Composition Architecture for Digital Transformation. In: Intelligent Decision Technologies 2018: . Paper presented at Intelligent Decision Technologies 2018. Springer
Open this publication in new window or tab >>Decision-oriented Composition Architecture for Digital Transformation
Show others...
2018 (English)In: Intelligent Decision Technologies 2018, Springer , 2018Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2018
Series
Smart Innovation, Systems and Technologies
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-43156 (URN)
Conference
Intelligent Decision Technologies 2018
Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-02-21
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-7431-8412

Search in DiVA

Show all publications