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Determining the net financial risk for decision making in business interactions

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Open access
Authors
Hussain, Omar
Dillon, Tharam S.
Chang, Elizabeth
Hussain, Farookh
Date
2009
Type
Conference Paper

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Hussain, Omar and Dillon, Tharam S. and Chang, Elizabeth and Hussain, Farookh. 2009. Determining the net financial risk for decision making in business interactions, in Irfan Awan, Muhammad Younas, Takahiro Hara and Arjan Durresi (ed), IEEE 23rd International Conference on Advanced Information Networking and Applications (AINA 2009), May 26 2009, pp. 822-829. Bradford, UK: IEEE Computer Society.
Source Title
Proceedings of the IEEE 23rd international conference on advanced information networking and applications (AINA 2009)
Source Conference
IEEE 23rd International Conference on Advanced Information Networking and Applications (AINA 2009)
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Curtin Business School
The Digital Ecosystems and Business Intelligence Institute (DEBII)
School
Centre for Extended Enterprises and Business Intelligence
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Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

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Abstract

In a business interaction, risk highlights and expresses the uncertainty associated with the achievement of desired outcomes. Failure to achieve these outcomes will result in the interacting userexperiencing financial loss in the business interaction. The level of financial loss that could be experienced plays a very important role on the user while forming a business interaction. Further, by ascertaining the financial loss the user can take steps by which it can manage the level of risk. The level of financial loss that could be experienced depends upon the different types of uncertain outcomes associated in the interaction. In this paper we will propose a methodology by which the user in a digital business ecosystem interaction can capture the different types of uncertainties and ascertain the financial risk that could be experienced from it.