IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-892-9_6.html

Leveraging Predictive Analytics in Management Control for Planning, Forecasting, and Budgeting: A Literature Review

In: Proceedings of the International Conference on Multidisciplinary Research in Management and Economics (ICMRME 2025)

Author

Listed:
  • Abdelaziz Ourrani

    (University Ibn Zohr (UIZ), National School of Business and Management (ENCG))

  • Nawal Ilahiane

    (The University of Mons-Hainaut)

  • Abdellatif Aziki

    (University Ibn Zohr (UIZ), National School of Business and Management (ENCG))

  • Houcine Khinibilla

    (University Ibn Zohr (UIZ), National School of Business and Management (ENCG))

  • Moulay Hachem Fadili

    (University Ibn Zohr (UIZ), National School of Business and Management (ENCG))

Abstract

Management control systems are increasingly challenged by the complexity of data-driven decision-making, necessitating advanced methodologies to enhance planning, forecasting, and budgeting processes. This systematic literature review, examines the integration of predictive analytics into management control frameworks. By analyzing peer-reviewed studies from Scopus and Web of Science, the study identifies key trends, methodologies, and theoretical contributions in the field. Bibliometric and content analyses reveal a growing emphasis on quantitative approaches, with applications spanning anomaly detection, cost estimation, and strategic forecasting. Findings underscore the transformative potential of predictive analytics in improving accuracy, operational efficiency, and strategic alignment, while also identifying persistent challenges, including data quality and infrastructure limitations. The review contributes to theoretical discourse by mapping research trajectories and offers practical insights for organizations seeking to adopt AI-driven tools. Future research should address scalability, sector-specific adaptations, and the interplay between predictive analytics and organizational workflows to advance management control practices in dynamic environments.

Suggested Citation

  • Abdelaziz Ourrani & Nawal Ilahiane & Abdellatif Aziki & Houcine Khinibilla & Moulay Hachem Fadili, 2025. "Leveraging Predictive Analytics in Management Control for Planning, Forecasting, and Budgeting: A Literature Review," Advances in Economics, Business and Management Research, in: Ait Oufkir Abdellah & Younes Ben Zaied & Mohamed Charif El Harrane & Lalla Touhfa Belgnaoui (ed.), Proceedings of the International Conference on Multidisciplinary Research in Management and Economics (ICMRME 2025), pages 78-95, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-892-9_6
    DOI: 10.2991/978-94-6463-892-9_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-892-9_6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.