Optimizing the Deployment of the Overall Maturity Improvement Plan for Information Systems Risk Management
Fatima Ezzahra Ettahiri1, Mina El Maallam2, Hicham Bensaid3 & Mahmoud Nassar1 Show affiliations
- Mohammed V University, Morocco
- MIKS Laboratory, Morocco
- National Institute of Posts and Telecommunications, Morocco
Journal of Computer Science, Volume 18, Issue 3, pp. 162–171 · doi.org/10.3844/jcssp.2022.162.171
Abstract
Maturity models contribute considerably to the continuous improvement of the various business processes. However, the most important challenge for these tools after assessing maturity is how to define effective and efficient improvement plans especially in the case of an organization having multiple Information Systems (IS). This study presents an algorithm for optimizing the deployment of the overall maturity improvement plan for risk management of information systems. The purpose is to help decision makers identify which actions should be accomplished for each information system, with optimizing efforts needed to reach the global maturity level fixed by the top-down improvement strategy. The application of the proposed algorithm made it possible to define the improvement actions to be undertaken by a company in an optimized way for each of its IS to reach an overall target maturity. The calculation of the number of steps to be taken through the maturity matrix shows the effort gained. That gain can be the human and financial cost for the completion of the various necessary tasks to implement the objectives of control.
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Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
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Ettahiri, F. E., Maallam, M. E., Bensaid, H. & Nassar, M. (2022). Optimizing the Deployment of the Overall Maturity Improvement Plan for Information Systems Risk Management. Journal of Computer Science, 18(3), 162–171. https://doi.org/10.3844/jcssp.2022.162.171
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