Preference-Based Assessment of Organisational Risk in Complex Environments

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00555325" target="_blank" >RIV/67985556:_____/22:00555325 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-98018-4_4" target="_blank" >http://dx.doi.org/10.1007/978-3-030-98018-4_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-98018-4_4" target="_blank" >10.1007/978-3-030-98018-4_4</a>

Result language
angličtina
Original language name
Preference-Based Assessment of Organisational Risk in Complex Environments
Original language description
This chapter proposes a preference-based approach for optimising the process of organisational risk assessment in complex and uncertain environments, where significant decision-making factors may be interconnected. Organisational risks are herein treated from the perspective of the work-related stress risk involving psycho-physical factors crucial for the safety and well-being of human resources. The traditional Health and Safety Executive (HSE) model commonly used for stress evaluation in working environments is herein improved by first applying the Analytic Network Process (ANP) to weight management standards (MS). This technique has been chosen to avoid neglecting potential relations bounding MS with each other. Finally, Fuzzy Cognitive Maps (FCMs) are used to study dependence among significant stress factors. In such a direction, the support offered by the fuzzy set theory is relevant to deal with subjective evaluations of preference. The case of an Italian airport is analysed to demonstrate the applicability of the approach, and managerial insights are discussed.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN
978-3-030-98017-7
ISSN
—
e-ISSN
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Number of pages
13
Pages from-to
40-52
Publisher name
Springer
Place of publication
Cham
Event location
Ishikawa
Event date
Mar 18, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000786448900004

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