DocumentCode :
1922681
Title :
Ascertaining the Financial Loss from Non-dependable Events in Business Interactions by Using the Monte Carlo Method
Author :
Hussain, Omar ; Dillon, Tharam
Author_Institution :
Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Perth, WA
fYear :
2009
fDate :
16-19 March 2009
Firstpage :
406
Lastpage :
411
Abstract :
Risk assessment in business interactions is carried out to determine beforehand the occurrence of undesirable events and their associated consequences. In the literature, approaches have been proposed by which an interaction initiating agent can ascertain the occurrence of undesirable event/s and determine their consequences in an interaction. But those approaches just consider those events that are related to the performance of the other agent, with whom the interaction initiating agent is forming an interaction. It is possible that there may also be such events that are not dependent on the other agent´s performance, but will directly or indirectly have an impact on the successful completion of the business interaction. In this paper, we will highlight the importance of considering such event/s during the process of risk assessment, and propose a methodology by which the interaction initiating agent can determine and quantify their effect on the successful completion of its business interaction.
Keywords :
Monte Carlo methods; commerce; econometrics; financial management; risk management; Monte Carlo method; business interaction; financial loss; financial risk assessment; interaction initiation agent; nondependable event; Australia; Availability; Cost benefit analysis; Decision making; Ecosystems; Performance analysis; Risk analysis; Risk management; Security; Uncertainty; dependable events; financial risk; non-dependable events; risk assessment; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Availability, Reliability and Security, 2009. ARES '09. International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-3572-2
Electronic_ISBN :
978-0-7695-3564-7
Type :
conf
DOI :
10.1109/ARES.2009.136
Filename :
5066502
Link To Document :
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