Change search
ReferencesLink to record
Permanent link

Direct link
Organizational Adoption of Enterprise Modeling Methods – Experience Based Recommendations
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2014 (English)In: The Practice of Enterprise Modeling / [ed] Frank, U., Pastor, O., Loucopoulos, P., Petrounias, I, Springer , 2014, 179-182 p.Conference paper (Refereed)
Abstract [en]

Organizations normally begin using Enterprise Modeling (EM) within the context of a development project of some sort, where an outside vendor and/or consultant provide the method and related IT tool usage competence. If an organization uses EM sufficiently frequently it may be motivated to develop in-house EM competence and to acquire and adopt an EM method. The paper is an experience paper. It defines what it means to adopt an EM method in an organization and describes the process of adopting and institutionalizing EM as an organizational strategy to support continuous improvement and development. The process consists of three activities: deciding that an EM method should be adopted as part of the organization’s set of institutionalized methods, electing a suitable method and implementing the method.

Place, publisher, year, edition, pages
Springer , 2014. 179-182 p.
, Lecture Notes in Business Information Processing, ISSN 1865-1356 ; Vol 197
Keyword [en]
Enterprise Modeling, Enterprise Modeling method, method adoption
National Category
Information Systems
Research subject
Computer and Systems Sciences
URN: urn:nbn:se:su:diva-111027DOI: 10.1007/978-3-662-45501-2_13ISBN: 978-3-662-45500-5OAI: diva2:773812
7th IFIP WG 8.1 Working Conference, PoEM 2014, Manchester, UK, November 12-13, 2014
Available from: 2014-12-19 Created: 2014-12-19 Last updated: 2015-03-10Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Stirna, Janis
By organisation
Department of Computer and Systems Sciences
Information Systems

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 5 hits
ReferencesLink to record
Permanent link

Direct link