Risk profiling of food security impediments using decision maker's behavioural preference towards operational risk management.

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Title: Risk profiling of food security impediments using decision maker's behavioural preference towards operational risk management.
Authors: Gupta, Rachita1 (AUTHOR) rachita.gupta@iimkashipur.ac.in, Shankar, Ravi2 (AUTHOR) ravi1@dms.iitd.ac.in, Lai, Kee-Hung3 (AUTHOR) mike.lai@polyu.edu.hk, Kumar, Ajay4 (AUTHOR) akumar@em-lyon.com
Source: Annals of Operations Research. May2025, Vol. 348 Issue 2, p937-972. 36p.
Subjects: Fuzzy sets, Fuzzy integrals, Operational risk, Food security, Risk assessment
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Risk profiling of food security impediments using decision maker's behavioural preference towards operational risk management.
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10479-022-05148-7
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        Text: English
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      – SubjectFull: Fuzzy integrals
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      – SubjectFull: Operational risk
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      – SubjectFull: Food security
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      – SubjectFull: Risk assessment
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              M: 05
              Text: May2025
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