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Panel discussion :
Panel discussion : Enterprise modeling in the digital age
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- van der Linden, Dirk (författare)
- Northumbria University, Department of Computer and Information Sciences, Newcastle upon Tyne, UK
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- Ralyté, Jolita (författare)
- University of Geneva, Geneva, Institute of Information Service Science, Geneva, Switzerland
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- Sandkuhl, Kurt, 1963- (författare)
- Jönköping University,JTH, Avdelningen för datateknik och informatik,University of Rostock, Business information systems, Rostock, Germany
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- Zdravkovic, Jelena (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Stockholm University, Department of Computer and Systems Sciences, Kista, Sweden
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(creator_code:org_t)
- CEUR-WS, 2020
- 2020
- Engelska.
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Ingår i: Proceedings of the Forum at Practice of Enterprise Modeling 2020co-located with the 13th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM 2020). - : CEUR-WS. ; , s. 64-69
- Relaterad länk:
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http://ceur-ws.org/V...
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https://su.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- This paper reports the discussion of the “Enterprise Modelling in Digital Age” plenary panel held at the PoEM2020 conference. The panel was concerned with the interplay between emergent digitalization, big data, high complexity, needs for competencies and collaboration, in the scope of enterprise modelling methods and enterprise architecture frameworks. Both in terms how these global organisations related phenomena provide new challenges to be included in enterprise modelling, as well as of how they can benefit from the modeling.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- Big Data
- Capability
- Digitalisation
- Enterprise Architecture
- Enterprise Modeling
- Digital age
- Enterprise modelling
- High complexity
- Panel discussions
- Enterprise resource planning
- data- och systemvetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)