A methodology to quantify failure for risk-based decision support system in digital business ecosystems
|dc.contributor.author||Dillon, Tharam S.|
|dc.identifier.citation||Hussain, Omar Khadeer and Chang, Elizabeth and Hussain, Farookh Khadeer and Dillon, Tharam S.. 2007. A methodology to quantify failure for risk-based decision support system in digital business ecosystems. Data and Knowledge Engineering 63: 597-621.|
In digital business ecosystem architecture it is rational for the trusting agent to analyse the possible risk according to its demand before interacting with a probable trusted agent. Doing so would assist the trusting agent in its decision process and would also give the trusting agent a hint of the direction in which the interaction might head. The possible risk in an interaction is a combination of the probability of failure and the possible consequences of failure of an interaction. In this paper, we propose a methodology by which the trusting agent determines the probability of failure in interacting with a probable trusted agent. The determined probability of failure by the trusting agent is according to the specific demand of its future interaction with the probable trusted agent.
|dc.title||A methodology to quantify failure for risk-based decision support system in digital business ecosystems|
|dcterms.source.title||Data and Knowledge Engineering|
Hussain, Omar Khadeer and Chang, Elizabeth and Hussain, Farookh Khadeer and Dillon, Tharam S. (2007) A methodology to quantify failure for risk-based decision support system in digital business ecosystems, Data and Knowledge Engineering 63:597-621.
The link to the published article is:
Copyright 2007 Elsevier B.V. All rights reserved.
|curtin.department||Centre for Extended Enterprises and Business Intelligence|
|curtin.faculty||Curtin Business School|
|curtin.faculty||School of Information Systems|