A methodology to quantify failure for risk-based decision support system in digital business ecosystems

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Journal Article
Data and Knowledge Engineering, 2007, 63 (3), pp. 597 - 621
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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. © 2007 Elsevier B.V. All rights reserved.
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