Risk Measure Propagation through Organisational Network

In this paper we present a risk measurement methodology by incorporating actors' dependency relationships with each other across the whole organisational model. We argue that any actor associated with a vulnerable actor holds certain degree of vulnerability as a result of its association with t...

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Main Authors: Shabnam, L., Farzana, H., Bhuiyan, M., Krishna, Aneesh
Other Authors: Carl K. Chang
Format: Conference Paper
Published: IEEE 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/17949
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author Shabnam, L.
Farzana, H.
Bhuiyan, M.
Krishna, Aneesh
author2 Carl K. Chang
author_facet Carl K. Chang
Shabnam, L.
Farzana, H.
Bhuiyan, M.
Krishna, Aneesh
author_sort Shabnam, L.
building Curtin Institutional Repository
collection Online Access
description In this paper we present a risk measurement methodology by incorporating actors' dependency relationships with each other across the whole organisational model. We argue that any actor associated with a vulnerable actor holds certain degree of vulnerability as a result of its association with the vulnerable actor. The degree of vulnerability becomes more if the actor is associated with more vulnerable actors. Similarly, we argue that any actor associated with a critical actor holds certain degree of criticality as a result of its association with the critical actor. The degree of criticality becomes more if the actor is associated with more critical actors. We believe our novel approach is capable of guiding the analyst to analyse vulnerability and criticality levels that exists among the actors' interdependencies across the whole organisational model, hence enabling him/her to design or redesign risk aware business processes.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:23:36Z
publishDate 2014
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spelling curtin-20.500.11937-179492023-02-13T08:01:38Z Risk Measure Propagation through Organisational Network Shabnam, L. Farzana, H. Bhuiyan, M. Krishna, Aneesh Carl K. Chang Yan Gao Ali Hurson Mihhail Matskin Bruce McMillin Yasuo Okabe Agent Oriented - Conceptual Modeling Organisational Model Risk Management BPMN Business Process Modeling i In this paper we present a risk measurement methodology by incorporating actors' dependency relationships with each other across the whole organisational model. We argue that any actor associated with a vulnerable actor holds certain degree of vulnerability as a result of its association with the vulnerable actor. The degree of vulnerability becomes more if the actor is associated with more vulnerable actors. Similarly, we argue that any actor associated with a critical actor holds certain degree of criticality as a result of its association with the critical actor. The degree of criticality becomes more if the actor is associated with more critical actors. We believe our novel approach is capable of guiding the analyst to analyse vulnerability and criticality levels that exists among the actors' interdependencies across the whole organisational model, hence enabling him/her to design or redesign risk aware business processes. 2014 Conference Paper http://hdl.handle.net/20.500.11937/17949 10.1109/COMPSACW.2014.40 IEEE restricted
spellingShingle Agent Oriented - Conceptual Modeling
Organisational Model
Risk Management
BPMN
Business Process Modeling
i
Shabnam, L.
Farzana, H.
Bhuiyan, M.
Krishna, Aneesh
Risk Measure Propagation through Organisational Network
title Risk Measure Propagation through Organisational Network
title_full Risk Measure Propagation through Organisational Network
title_fullStr Risk Measure Propagation through Organisational Network
title_full_unstemmed Risk Measure Propagation through Organisational Network
title_short Risk Measure Propagation through Organisational Network
title_sort risk measure propagation through organisational network
topic Agent Oriented - Conceptual Modeling
Organisational Model
Risk Management
BPMN
Business Process Modeling
i
url http://hdl.handle.net/20.500.11937/17949