Optimization Algorithm to Sequence the Management Processes in Information Technology Departments

Author:

Rubio Sánchez Juan LuisORCID

Abstract

The most important standard in technology services management is the Information Technology Infrastructure Library (ITIL). The literature review developed shows that one of the most important questions to answer is finding the sequence of processes to be implemented, mainly in small companies with few resources. The purpose of this paper is to show a methodology that defines an optimal specific sequence of processes for each small company depending on internal and external parameters. The main contribution of this paper is a proven methodology to obtain a particular sequence of ITIL processes specifically adapted to each company, based on a mathematical and statistical model that uses data from a web survey. Its application generates an optimal sequence of ITIL processes. The methodology has been applied with successful results in a real case, and it shows specific benefits over the previous approaches. The main learning objective of this research is a proven method to obtain an optimal sequence of processes for the implementation of ITIL in small companies. Finally, some future works are presented.

Publisher

MDPI AG

Subject

Applied Mathematics,Modelling and Simulation,General Computer Science,Theoretical Computer Science

Reference56 articles.

1. COVID-19 and Its Impacts on Managing Information Systems

2. How to Handle the Risk of Insider Threats Post-COVID-19 https://searchcio.techtarget.com/feature/How-to-handle-the-risk-of-insider-threats-post-COVID-19?

3. Information Technology Governance in Small and Medium Enterprises - a Systematic Mapping

4. Supporting the Module Sequencing Decision in ITIL Solution Implementation

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