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Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management
For different decision makers, their approach towards management of operational risks differs due to difference in background and behavioural preferences. For such reasons, they attach different importance to various perspectives to manage operational risks. Present study conducts and analyses risk...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810523/ https://www.ncbi.nlm.nih.gov/pubmed/36619696 http://dx.doi.org/10.1007/s10479-022-05148-7 |
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author | Gupta, Rachita Shankar, Ravi Lai, Kee-Hung Kumar, Ajay |
author_facet | Gupta, Rachita Shankar, Ravi Lai, Kee-Hung Kumar, Ajay |
author_sort | Gupta, Rachita |
collection | PubMed |
description | For different decision makers, their approach towards management of operational risks differs due to difference in background and behavioural preferences. For such reasons, they attach different importance to various perspectives to manage operational risks. Present study conducts and analyses risk profiling of food security impediments, in which operational risk has come up as an important impediment. Based on three perspectives namely, social, economic, and operational, the research first evaluates severity of impediments in food security. Risk profiling is then conducted on the basis of decision makers’ preferences towards different perspectives. Integration of fuzzy set theory and evidential reasoning algorithm along with decision makers’ behavioural preferences have been used for the analysis. The proposed model generates a continuum of scenarios towards relative importance of three perspectives. It is observed that despite changing the importance of perspectives, a few risks show robustness in their severity, while other ones are sensitive to small changes. Based on these dynamic changes in risk-percept, insightful risk profiling is presented in this research. The risk profiling approach uniquely helps decision makers to adequately plan their course of actions to deal with operational risks associated with food security. |
format | Online Article Text |
id | pubmed-9810523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-98105232023-01-04 Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management Gupta, Rachita Shankar, Ravi Lai, Kee-Hung Kumar, Ajay Ann Oper Res Original Research For different decision makers, their approach towards management of operational risks differs due to difference in background and behavioural preferences. For such reasons, they attach different importance to various perspectives to manage operational risks. Present study conducts and analyses risk profiling of food security impediments, in which operational risk has come up as an important impediment. Based on three perspectives namely, social, economic, and operational, the research first evaluates severity of impediments in food security. Risk profiling is then conducted on the basis of decision makers’ preferences towards different perspectives. Integration of fuzzy set theory and evidential reasoning algorithm along with decision makers’ behavioural preferences have been used for the analysis. The proposed model generates a continuum of scenarios towards relative importance of three perspectives. It is observed that despite changing the importance of perspectives, a few risks show robustness in their severity, while other ones are sensitive to small changes. Based on these dynamic changes in risk-percept, insightful risk profiling is presented in this research. The risk profiling approach uniquely helps decision makers to adequately plan their course of actions to deal with operational risks associated with food security. Springer US 2023-01-04 /pmc/articles/PMC9810523/ /pubmed/36619696 http://dx.doi.org/10.1007/s10479-022-05148-7 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Gupta, Rachita Shankar, Ravi Lai, Kee-Hung Kumar, Ajay Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management |
title | Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management |
title_full | Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management |
title_fullStr | Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management |
title_full_unstemmed | Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management |
title_short | Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management |
title_sort | risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810523/ https://www.ncbi.nlm.nih.gov/pubmed/36619696 http://dx.doi.org/10.1007/s10479-022-05148-7 |
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