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Software Engineering Research, Management and Applications 2012 pp 65–79Cite as

Enterprise Architecture: A Framework Based on Human Behavior Using the Theory of Structuration

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 430))

Abstract

Organizational knowledge provides the requirements necessary for effective Enterprise Architecture (EA) design. The usefulness of EA processes depend on the quality of both functional and non-functional requirements elicited during the EA design process. Existing EA frameworks consider EA design solely from a techno-centric perspective focusing on the interaction of business goals, strategies, and technology. However, many organizations fail to achieve the business goals established for the EA because of miscommunication of stakeholder requirements. Though modeling functional and non-functional design requirements from a technical perspective better ensures delivery of EA, a more complete approach would fully take into account human behavior as a vital factor in EA design. The contribution of this paper is an EA design guideline based on human behavior and socio-communicative aspects of both stakeholders and the organization using socio-oriented approaches to EA design and modeling schemes.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Science, Towson University, Towson, USA

    Dominic M. Mezzanotte Sr. & Josh Dehlinger

Authors
  1. Dominic M. Mezzanotte Sr.
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  2. Josh Dehlinger
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Corresponding author

Correspondence to Dominic M. Mezzanotte Sr. .

Editor information

Editors and Affiliations

  1. Software Engineering & Information, Technology Institute, Central Michigan University, Mt. Pleasant, 48859, USA

    Roger Lee

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© 2012 Springer-Verlag Berlin Heidelberg

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Mezzanotte, D.M., Dehlinger, J. (2012). Enterprise Architecture: A Framework Based on Human Behavior Using the Theory of Structuration. In: Lee, R. (eds) Software Engineering Research, Management and Applications 2012. Studies in Computational Intelligence, vol 430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30460-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-30460-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30459-0

  • Online ISBN: 978-3-642-30460-6

  • eBook Packages: EngineeringEngineering (R0)

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