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

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

Authors
Abdelaziz Ourrani1, *, Nawal Ilahiane2, Abdellatif Aziki1, Houcine Khinibilla1, Moulay Hachem Fadili1
1National School of Business and Management (ENCG), University Ibn Zohr (UIZ), Agadir, Morocco
2The University of Mons-Hainaut, Mons, Belgium
*Corresponding author. Email: abdelaziz.ourrani@edu.uiz.ac.ma
Corresponding Author
Abdelaziz Ourrani
Available Online 17 November 2025.
DOI
10.2991/978-94-6463-892-9_6How to use a DOI?
Keywords
Artificial intelligence; predictive analytics; management control; budgeting; forecasting; systematic literature review
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Multidisciplinary Research in Management and Economics (ICMRME 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
17 November 2025
ISBN
978-94-6463-892-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-892-9_6How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Abdelaziz Ourrani
AU  - Nawal Ilahiane
AU  - Abdellatif Aziki
AU  - Houcine Khinibilla
AU  - Moulay Hachem Fadili
PY  - 2025
DA  - 2025/11/17
TI  - Leveraging Predictive Analytics in Management Control for Planning, Forecasting, and Budgeting: A Literature Review
BT  - Proceedings of the International Conference on Multidisciplinary Research in Management and Economics (ICMRME 2025)
PB  - Atlantis Press
SP  - 78
EP  - 95
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-892-9_6
DO  - 10.2991/978-94-6463-892-9_6
ID  - Ourrani2025
ER  -