Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Modelling of Organisational Rules in Complex Adaptive Systems: a Systematic Mapping Study
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0001-7806-749X
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0003-3290-2597
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0003-2218-8094
Antal upphovsmän: 32024 (Engelska)Ingår i: Perspectives in Business Informatics Research: 23rd International Conference on Business Informatics Research, BIR 2024, Prague, Czech Republic, September 11–13, 2024, Proceedings / [ed] Václav Řepa; Raimundas Matulevičius; Emanuele Laurenzi, Springer , 2024, s. 103-118Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Organisational rules, both created internally and externally mandated, are vital to an enterprise. Yet, understanding and managing these rules is problematic, as they are a part of a complex system. Thus, there is a need to view them in a complex setting of organisational actors and interactions. It has been suggested that enterprises, particularly in situations like collaboration in healthcare, should be analysed as complex adaptive systems (CAS). However, only some enterprise modelling contributions can represent perspectives of CAS theory. In this paper, we set out to examine how organisational rules in complex adaptive systems has been modelled. A systematic mapping study was conducted on modelling languages of organisational rules in collaborations, resulting in 22 identified languages. The constructs and modelling patterns of the identified languages were mapped against an analytical framework that included 15 concepts from CAS theory. Overall, even though most CAS concepts had yet to be addressed by the identified languages, potentially useful approaches were found, related to: abstraction of large organisational rule systems through power relations; interpretation and implementation of rules; feedback loops to rule-makers, including delays.

Ort, förlag, år, upplaga, sidor
Springer , 2024. s. 103-118
Serie
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356
Nyckelord [en]
Organisational Rule, Enterprise Modelling, Business Rule, Collaboration, Socio-technical System, Complex Adaptive System
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-233496DOI: 10.1007/978-3-031-71333-0_7Scopus ID: 2-s2.0-85204585137ISBN: 978-3-031-71333-0 (digital)ISBN: 978-3-031-71332-3 (tryckt)OAI: oai:DiVA.org:su-233496DiVA, id: diva2:1897945
Konferens
23rd International Conference on Business Informatics Research, BIR 2024, 11-13 September, 2024, Prague, Czech Republic.
Tillgänglig från: 2024-09-16 Skapad: 2024-09-16 Senast uppdaterad: 2024-11-12Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Lindeberg, JöranHenkel, MartinSvee, Eric-Oluf

Sök vidare i DiVA

Av författaren/redaktören
Lindeberg, JöranHenkel, MartinSvee, Eric-Oluf
Av organisationen
Institutionen för data- och systemvetenskap
Systemvetenskap, informationssystem och informatik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 119 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf