Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Modelling Hierarchies of Organisational Rules
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-7806-749X
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0003-3290-2597
Swedish Defence University, Stockholm, Sweden.ORCID iD: 0000-0001-7194-9617
Number of Authors: 32025 (English)In: Research Challenges in Information Science. RCIS 2025 / [ed] Jānis Grabis; Tanja E. J. Vos; Maria José Escalona; Oscar Pastor, Springer Nature , 2025, p. 175-191Conference paper, Published paper (Refereed)
Abstract [en]

The vast and growing web of rules and regulations that govern modern organisations is increasingly difficult to comprehend and manage. One technique for understanding and managing rules among stakeholders is enterprise modelling of organisational rules. However, rule models are usually flat, lacking hierarchical structure that allows for effective abstraction and reduced complexity. The aim of this paper is to examine the different aspects of hierarchy among organisational rules. A model pattern is proposed, based on the main constructs rule description, norm hierarchy, scope, and citation. The model pattern is demonstrated by instantiating it in a concrete case, the European Union’s General Data Protection Regulation (GDPR), using Wikibase Cloud to structure the data and Kumu.io to visualise it.

Place, publisher, year, edition, pages
Springer Nature , 2025. p. 175-191
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 547
Keywords [en]
Organisational Rule System, Enterprise Modelling, Rule Hierarchy, Legal Design, Privacy Regulation, OntoUML
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-243643DOI: 10.1007/978-3-031-92474-3_11Scopus ID: 2-s2.0-105006467240ISBN: 978-3-031-92473-6 (print)ISBN: 978-3-031-92474-3 (electronic)OAI: oai:DiVA.org:su-243643DiVA, id: diva2:1961581
Conference
19th International Conference on Research Challenges in Information Science (RCIS 2025), 20–23 May 2025, Seville, Spain.
Available from: 2025-05-27 Created: 2025-05-27 Last updated: 2025-06-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Lindeberg, JöranHenkel, Martin

Search in DiVA

By author/editor
Lindeberg, JöranHenkel, MartinFast Lappalainen, Katarina
By organisation
Department of Computer and Systems Sciences
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 22 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf