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Model-Centric Strat...
Model-Centric Strategy-IT Alignment : An Empirical Study in Progress
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- Giannoulis, Constantinos, 1981- (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Zdravkovic, Jelena (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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Petit, Michaël (författare)
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(creator_code:org_t)
- Berlin, Heidelberg : Springer Berlin/Heidelberg, 2013
- 2013
- Engelska.
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Ingår i: Advanced Information Systems Engineering Workshops. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642384899 - 9783642384905 ; , s. 146-155
- Relaterad länk:
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https://link.springe...
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visa fler...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- IT pervades all sectors of today's organizations. To support efficient business solutions, business-IT alignment has been long-time discussed as a solution. Given the complexity of achieving alignment, in our research we have hypothesized the importance of one partial possible solution, namely, the fit between strategy and information system requirements. To systematically investigate the influence of widely-used business strategy formulations, such as Porter’s Value Chain, Kaplan & Norton’s Strategy Maps, and others, we propose a model-centric approach to strategy-IT alignment where the strategy formulations are represented in the form of models, and mapped to requirements models. The objective of this paper is to present a pilot empirical investigation assessing if strategy-IT alignment is an issue of concern, and seeking to obtain insights from practitioners about relevance of our modelbased view for strategy-IT alignment. The empirical information is collected through a well-prepared questionnaire-based survey.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- Business
- Alignment
- IT
- Strategy
- Requirements
- Computer and Systems Sciences
- data- och systemvetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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