IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v38y2025i1p1-19.html
   My bibliography  Save this article

Process Mining for IS Project Management: A Systematic Literature Review

Author

Listed:
  • Joana Pedrosa

    (ALGORITMI Center, University of Minho, Portugal)

  • Luís Gonzaga Magalhães

    (ALGORITMI Center/LASI, University of Minho, Portugal)

  • Ricardo Martinho

    (INESCC-DL, ESTG, Polytechnic University of Leiria, Portugal)

Abstract

Recently, process mining techniques have been used to discover, analyze, and improve business processes' performance, including project management processes conducted in IS projects. In this literature review, 383 documents were found and 59 were selected as relevant in the use of process mining for project management. These works were categorized according to the eight project performance domains presented by the Project Management Body of Knowledge. Approximately 50% were associated with the development approach and life cycle domain, in contrast to only 3% associated with the stakeholder domain. In addition to this review, other reviews were identified that explored the same theme but with an emphasis on agile software development. The process mining discovery techniques were the most applied in this context. The findings from the review suggested a gap in the literature regarding the correlation between process mining and IS project success.

Suggested Citation

  • Joana Pedrosa & Luís Gonzaga Magalhães & Ricardo Martinho, 2025. "Process Mining for IS Project Management: A Systematic Literature Review," Information Resources Management Journal (IRMJ), IGI Global Scientific Publishing, vol. 38(1), pages 1-19, January.
    • Handle: RePEc:igg:rmj000:v:38:y:2025:i:1:p:1-19
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.373155
    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:rmj000:v:38:y:2025:i:1:p:1-19. 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.