Please use this identifier to cite or link to this item: https://er.chdtu.edu.ua/handle/ChSTU/5525
Title: Information System for Management of Information Risks in Digital Transformation Projects
Authors: Rychlik, Andrzej
Semko, Oleksandr
Bedrii, Dmytro
Nesterenko, Alla
Marshak, Olena
Семко, Олександр Вікторович
Нестеренко, Алла Миколаївна
Keywords: informationsystem;informationrisks;digital transformation
Issue Date: 2024
Publisher: Springer, Cham.
Abstract: Digital transformation processes require the integration of various information systems and the involvement of new technologies. This may lead to an increase in the risk of information loss. The paper highlights the author’s point of view regarding the solution to this problem by implementing an information risk management information system in the projects of digital business transformation, which is developed based on models and methods of managing these risks. Proposed conceptual model of information risk management for digital transformation projects of business takes into account risks in the system of organization “organization’s environment - organization - project”, which makes it possible to manage general information risks, in case of their occurrence in organization’s business environment. Presented mathematical model of information risk management in digital transformation projects of business allows at the stage of optimization of business processes to take into account possible information risks and to choose an option for the optimization process in accordance with stakeholders’ requirements at the stage of optimization of business processes. In turn, the method of managing information risks in digital business transformation projects allows to choose business processes with optimal cost indicators, identify information risks and lay down reserves for the implementation of anti-risk measures, and the method of managing general information risks in the organization’s system allows to control the stages of information risk minimization and adjust anti-risk measures throughout the entire life cycle of the project. Thus, presented information system makes it possible to increase the effectiveness of information risk management through automation, rapid response and increase in the accuracy of risk analysis.
URI: https://er.chdtu.edu.ua/handle/ChSTU/5525
https://link.springer.com/chapter/10.1007/978-3-031-71804-5_1
ISBN: 978-3-031-71803-8 (print)
978-3-031-71804-5 (online)
DOI: https://doi.org/10.1007/978-3-031-71804-5_1
First Page: 3
End Page: 17
Book Title: Faure, E., et al. Information Technology for Education, Science, and Technics. ITEST 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 222.
Appears in Collections:Наукові публікації викладачів (ФЕТР)

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