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Enterprise Modeling Facilitating Business and IT Alignment Along the Social Dimension: Stakeholder intentions for model-based communication and coordination
Aalto University School of Science, Department of Computer Science and Engineering .
Jönköping University, School of Engineering, JTH. Research area Information Engineering. University of Skövde, School of Informatics, Information Systems.ORCID iD: 0000-0002-9507-0647
2015 (English)In: Proceedings - 17th IEEE Conference on Business Informatics, CBI 2015 / [ed] Caetano, A., Faller, H., Guedria, W., Komarov, M., Korhonen, JJ., Kornyshova, E., Maltseva, S., Proper, H. A., Tribolet, J., 2015, Vol. 2, p. 1-8, article id 7264761Conference paper, Published paper (Refereed)
Abstract [en]

Business–IT alignment calls for coordination between IT and business (non-IT) parts of an organization along different dimensions: strategic, structural, social, and cultural. The focus of this conceptual paper is on the social dimension of alignment – the mutual understanding of business and IT stakeholders on the business and IT objectives and activities. In the face of an increasingly complex strategic context, growing coordination needs must be matched with respective coordination capabilities. We argue that business–IT alignment at different organizational levels and for different stakeholders requires qualitatively different coordination capabilities, which pose distinct demands for the use of enterprise models. Using 4EM as an example, we investigate how enterprise models support these coordination capabilities as well as which intentions different IT and non-IT stakeholders have for enterprise modeling at different organizational levels.

Place, publisher, year, edition, pages
2015. Vol. 2, p. 1-8, article id 7264761
Series
Conference on Business Informatics
Keywords [en]
Business–IT Alignment, social dimension, coordination capabilities, Enterprise Modeling, 4EM, levels of work
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-28319DOI: 10.1109/CBI.2015.19ISI: 000380542800031Scopus ID: 2-s2.0-84960123053ISBN: 9781467373401 (print)OAI: oai:DiVA.org:hj-28319DiVA, id: diva2:871661
Conference
17th IEEE Conference on Business Informatics, CBI 2015; Lisbon; Portugal; 13 July 2015 through 16 July 2015; Category numberE5549; Code 118116
Available from: 2015-11-16 Created: 2015-11-16 Last updated: 2018-01-26Bibliographically approved

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Kaidalova, Julia

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CiteExportLink to record
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  • apa
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