Peer-reviewed articles 17,970 +



Title: CRISIS MANAGEMENT RISK ASSESSMENT QUANTITATIVE METHODS APPLIED ON THE CRISIS EVENT

CRISIS MANAGEMENT RISK ASSESSMENT QUANTITATIVE METHODS APPLIED ON THE CRISIS EVENT
L. Kurilovska;J. Mullerova
1314-2704
English
20
5.1
The paper deals with quantitative methods of risk management applied to a crisis event of criminal origin. Two quantitative risk assessment methods are introduced. The event tree analysis and the RM/RA CRAMM method are applied from the perspective of crisis management in the phase of criminal crisis prevention. The advantages and disadvantages of the quantitative methods compared to qualitative methods are discussed. The quality of input data is accented to get reliable results that can be seriously taken into account by crisis managers or other stakeholders. The risk identification phase is the most critical part of the risk assessment process. The steps of the quantitative risk identification are presented in detail. The rules for reliable risk assessment are explained in logical steps. The issues of probability data and trends are also introduced to get reliable risk assessment results. The risk value is calculated as a function of the potential damage and the probability of damage occurrence in both methods introduced. The paper also underlines the universality of the application of both quantitative methods.
conference
20th International Multidisciplinary Scientific GeoConference SGEM 2020
20th International Multidisciplinary Scientific GeoConference SGEM 2020, 18 - 24 August, 2020
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; C
213-220
18 - 24 August, 2020
website
cdrom
7302
quantitative method; analysis; risk assessment; event tree analysis; RM/RA CRAMM

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