Cloud knowledge management technologies in IT projects

The article is devoted to the study of the issues of implementing cloud technologies for knowledge management in the context of IT projects. In modern conditions, when rapid adaptation to changes and effective use of information become key factors for successful activities, the use of cloud technologies is gaining special importance. The authors focus on the essence and content of cloud technologies, revealing their potential in increasing the flexibility, adaptability and scalability of knowledge management processes in IT projects. The article examines in detail the main advantages of implementing cloud technologies, which include: increasing the efficiency of information exchange between project participants, reducing the costs of supporting information infrastructure, ensuring the availability of knowledge in real time and simplifying the integration of management tools. At the same time, the authors focus on the risks associated with the use of such technologies, in particular, on the challenges in the field of data security and information confidentiality. It is noted that ensuring an adequate level of cyber protection and compliance with regulatory requirements for information processing and storage are important aspects that require attention when implementing cloud solutions. The results of the study emphasize the importance of a balanced approach to the selection and implementation of cloud technologies in IT projects, which allows minimizing risks and maximizing the benefits of these innovations.

Authors

Publication Details

Journal
Management of Development of Complex Systems
Published
2025-03-28
DOI
https://doi.org/10.32347/2412-9933.2025.61.121-127
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cloud knowledge management technologies in IT projects

Liudmyla Mysnyk, Pavlo Skakun
Management of Development of Complex Systems
Big Data and Business Intelligence
article

Cloud knowledge management technologies in IT projects

Liudmyla Mysnyk, Pavlo Skakun
article en

Abstract

The article is devoted to the study of the issues of implementing cloud technologies for knowledge management in the context of IT projects. In modern conditions, when rapid adaptation to changes and effective use of information become key factors for successful activities, the use of cloud technologies is gaining special importance. The authors focus on the essence and content of cloud technologies, revealing their potential in increasing the flexibility, adaptability and scalability of knowledge management processes in IT projects. The article examines in detail the main advantages of implementing cloud technologies, which include: increasing the efficiency of information exchange between project participants, reducing the costs of supporting information infrastructure, ensuring the availability of knowledge in real time and simplifying the integration of management tools. At the same time, the authors focus on the risks associated with the use of such technologies, in particular, on the challenges in the field of data security and information confidentiality. It is noted that ensuring an adequate level of cyber protection and compliance with regulatory requirements for information processing and storage are important aspects that require attention when implementing cloud solutions. The results of the study emphasize the importance of a balanced approach to the selection and implementation of cloud technologies in IT projects, which allows minimizing risks and maximizing the benefits of these innovations.

Management of Development of Complex Systems(61)
Openalex Percentile: Top 86%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.