A methodology to quantify failure for risk-based decision support system in digital business ecosystems
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 th...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier Science
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/18767 |
| _version_ | 1848749839453519872 |
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| author | Hussain, Omar Chang, Elizabeth Hussain, Farookh Dillon, Tharam S. |
| author_facet | Hussain, Omar Chang, Elizabeth Hussain, Farookh Dillon, Tharam S. |
| author_sort | Hussain, Omar |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:27:19Z |
| format | Journal Article |
| id | curtin-20.500.11937-18767 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:27:19Z |
| publishDate | 2007 |
| publisher | Elsevier Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-187672019-02-19T05:34:59Z A methodology to quantify failure for risk-based decision support system in digital business ecosystems Hussain, Omar Chang, Elizabeth Hussain, Farookh Dillon, Tharam S. Trusting agent FailureLevel Criteria Trusted agent 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 Journal Article http://hdl.handle.net/20.500.11937/18767 10.1016/j.datak.2007.03.014 Elsevier Science fulltext |
| spellingShingle | Trusting agent FailureLevel Criteria Trusted agent Hussain, Omar Chang, Elizabeth Hussain, Farookh Dillon, Tharam S. A methodology to quantify failure for risk-based decision support system in digital business ecosystems |
| title | A methodology to quantify failure for risk-based decision support system in digital business ecosystems |
| title_full | A methodology to quantify failure for risk-based decision support system in digital business ecosystems |
| title_fullStr | A methodology to quantify failure for risk-based decision support system in digital business ecosystems |
| title_full_unstemmed | A methodology to quantify failure for risk-based decision support system in digital business ecosystems |
| title_short | A methodology to quantify failure for risk-based decision support system in digital business ecosystems |
| title_sort | methodology to quantify failure for risk-based decision support system in digital business ecosystems |
| topic | Trusting agent FailureLevel Criteria Trusted agent |
| url | http://hdl.handle.net/20.500.11937/18767 |