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A Comparative Analysis of Enterprise Modeling Approaches for Modeling Business Strategy

Giannoulis, Constantinos, 1981- (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
Zikra, Iyad (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
Bergholtz, Maria (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
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Zdravkovic, Jelena (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
Stirna, Janis (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
Johannesson, Paul (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
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 (creator_code:org_t)
2013
2013
English.
In: PoEM Short Papers 2013. - 9783642416408 ; , s. 193-204
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • A gap in the alignment of business and IT lies between strategy and IS, despite the advancements of enterprise modeling. The objective of our study is to compare various enterprise modeling approaches with respect to their ability to capture and represent strategy notions. This includes identifying strategy notions from established business strategy formulations within Strategic Management, which are expressed in the Unified Business Strategy Meta Model. The interdisciplinary nature of the study constitutes a research challenge due to the significant difference on the levels of abstraction between Strategic Management and IS. To the best of our knowledge, no similar effort has been undertaken, therefore, the outcome of this study will provide the enterprise modeling community with a basis to address strategy and IS alignment linking strategic objectives and intentions to information systems.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Keyword

Business Strategy
UBSMM
Enterprise Modeling
EKD
iStar
e3value
BMO
Computer and Systems Sciences
data- och systemvetenskap

Publication and Content Type

ref (subject category)
kon (subject category)

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