IDEAS home Printed from https://ideas.repec.org/a/igg/jitpm0/v13y2022i1p1-23.html
   My bibliography  Save this article

Heuristics' Library for Enterprise Architecture and Portfolio Alignment

Author

Listed:
  • André Mesquita

    (Instituto Superior Técnico, Portugal)

  • André Vasconcelos

    (Instituto Superior Técnico, Portugal)

Abstract

It is a complex challenge to align and assess the strategic planning of organizations in the context of the Enterprise Architecture (EA) with the implementation of project portfolios. Thus, this research proposes a library of heuristics that allows evaluating the alignment of project portfolios to the desired qualities, given a strategy and a set of objectives. The heuristics related to the metrics are proposed to enable the measurement of qualities in EA such as reliability, availability, performance, security as well as alignment. Several heuristics are identified for each quality: regarding functionality, it is possible to identify three heuristics, for the quality reliability it is possible to identify one heuristic, for the quality of maintenance it is possible to identify four heuristics, for the quality alignment it is possible to identify nine heuristics and, finally, for the quality dimension it is possible to identify three heuristics. The solution is applied to government projects in the context of identification documents.

Suggested Citation

  • André Mesquita & André Vasconcelos, 2022. "Heuristics' Library for Enterprise Architecture and Portfolio Alignment," International Journal of Information Technology Project Management (IJITPM), IGI Global, vol. 13(1), pages 1-23, January.
    • Handle: RePEc:igg:jitpm0:v:13:y:2022:i:1:p:1-23
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITPM.304054
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jitpm0:v:13:y:2022:i:1:p:1-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.