Please use this identifier to cite or link to this item: https://essuir.sumdu.edu.ua/handle/123456789/83352
Or use following links to share this resource in social networks: Recommend this item
Title Methodology for assessing the risk associated with information and knowledge loss management
Authors Yarovenko, Hanna Mykolaivna  
Bilan, Yurii Valentynovych  
Lieonov, Serhii Viacheslavovych  
Mentel, G.
ORCID http://orcid.org/0000-0002-8760-6835
http://orcid.org/0000-0003-0268-009X
http://orcid.org/0000-0001-5639-3008
Keywords risk
information loss
knowledge loss management
factor and incident
binary esti-mate
risks map
Type Article
Date of Issue 2021
URI https://essuir.sumdu.edu.ua/handle/123456789/83352
Publisher VILNIUS TECH
License Creative Commons Attribution 4.0 International License
Citation Yarovenko, H., Bilan, Y., Lyeonov, S., & Mentel, G. (2021). Methodology for assessing the risk associated with information and knowledge loss management. Journal of Business Economics and Management, 22(2), 369-387. https://doi.org/10.3846/jbem.2021.13925
Abstract In practice, there is a massive time lag between data loss and its cause identification. The existing techniques perform it comprehensively, but they consume too much time, so there is a need for fast and reliable methods. The article’s purpose is to develop a rapid methodology to assess the risk of information and knowledge loss management. It provides the implementation of eight steps and combines a risk mapping method modified by assessments based on risk factors and incidents as elements from set theory and using formalization via binary estimates. The methodology includes five significant events caused by the company staff, technical problems, software, cybercriminals, viral attacks, and 66 factors influencing company incidents. As a result, a risk map of 9 groups was built for a Ukrainian enterprise. Only two groups with the minimum number of incidents and low losses are represented by all five incidents. The defined overall level of each risk group ranges from 0.14 to 0.26, which indicates a low probability of all happenings in the group. In general, the resulting map shows the existence of specific security problems of the company under investigation. The proposed assessment allows us to interpret the level of risk in the company quickly, identify weaknesses in the information security system, and predict future losses.
Appears in Collections: Наукові видання (ННІ БіЕМ)

Views

Australia Australia
6085765
China China
1
Denmark Denmark
6085760
Ecuador Ecuador
563660
Germany Germany
563665
Greece Greece
1
Hong Kong SAR China Hong Kong SAR China
1
India India
1
Iran Iran
6085751
Iraq Iraq
1
Ireland Ireland
221714
Italy Italy
1
Kazakhstan Kazakhstan
563644
Kenya Kenya
6085775
Lithuania Lithuania
1
Malaysia Malaysia
563669
Nepal Nepal
1
Netherlands Netherlands
6085757
New Zealand New Zealand
6085762
Pakistan Pakistan
563663
Romania Romania
1
Saudi Arabia Saudi Arabia
1
Singapore Singapore
1
South Africa South Africa
1
Sri Lanka Sri Lanka
1
Sweden Sweden
1802
Switzerland Switzerland
1
Taiwan Taiwan
1
Uganda Uganda
1
Ukraine Ukraine
415625271
United Kingdom United Kingdom
207812636
United States United States
-809692200
Unknown Country Unknown Country
1
Uzbekistan Uzbekistan
563650
Vietnam Vietnam
3605

Downloads

Bangladesh Bangladesh
1
Botswana Botswana
1
Canada Canada
1
China China
-1473253768
Ecuador Ecuador
1
Germany Germany
1
India India
6085774
Indonesia Indonesia
6085750
Iran Iran
1
Iraq Iraq
6085770
Israel Israel
563664
Italy Italy
1
Kenya Kenya
563672
Lithuania Lithuania
1
Malaysia Malaysia
1
Netherlands Netherlands
6085758
Norway Norway
1
Russia Russia
1
Saudi Arabia Saudi Arabia
1
Singapore Singapore
1
Slovenia Slovenia
1
South Korea South Korea
13038
Spain Spain
1
Sri Lanka Sri Lanka
1
Taiwan Taiwan
1
Thailand Thailand
1
Ukraine Ukraine
831028830
United Kingdom United Kingdom
46431148
United States United States
-1473253766
Unknown Country Unknown Country
1
Uzbekistan Uzbekistan
1
Vietnam Vietnam
1

Files

File Size Format Downloads
Yarovenko_et.al._Methodology_for_assessing_2021.pdf 697,67 kB Adobe PDF -2043564109

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.