Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Using enterprise architecture to analyse how organisational structure impact motivation and learning
KTH, School of Electrical Engineering (EES), Electric power and energy systems.
KTH, School of Electrical Engineering (EES), Electric power and energy systems.ORCID iD: 0000-0002-3293-1681
KTH, School of Electrical Engineering (EES), Electric power and energy systems.
2016 (English)In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 10, no 5, 523-562 p.Article in journal (Refereed) Published
Resource type
Text
Abstract [en]

When technology, environment, or strategies change, organisations need to adjust their structures accordingly. These structural changes do not always enhance the organisational performance as intended partly because organisational developers do not understand the consequences of structural changes in performance. This article presents a model-based analysis framework for quantitative analysis of the effect of organisational structure on organisation performance in terms of employee motivation and learning. The model is based on Mintzberg's work on organisational structure. The quantitative analysis is formalised using the Object Constraint Language (OCL) and the Unified Modelling Language (UML) and implemented in an enterprise architecture tool.

Place, publisher, year, edition, pages
Taylor & Francis, 2016. Vol. 10, no 5, 523-562 p.
Keyword [en]
contingency theory, organisational structure, enterprise modelling, architecture analysis, enterprise architecture
National Category
Information Systems Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-185049DOI: 10.1080/17517575.2014.986211ISI: 000372040400003Scopus ID: 2-s2.0-84919933262OAI: oai:DiVA.org:kth-185049DiVA: diva2:920066
Note

QC 20160415

Available from: 2016-04-15 Created: 2016-04-11 Last updated: 2016-05-17Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Narman, PiaJohnson, PontusGingnell, Liv
By organisation
Electric power and energy systems
In the same journal
Enterprise Information Systems
Information SystemsComputer Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 72 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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