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dc.contributor.authorCruz, M. Pilar de la
dc.contributor.authorCartelle Barros, Juan José
dc.contributor.authorCaño, Alfredo del
dc.contributor.authorGaraboa Fernández, María Concepción
dc.contributor.authorBlanco Leis, Jesús
dc.date.accessioned2022-04-25T07:31:31Z
dc.date.available2022-04-25T07:31:31Z
dc.date.issued2022
dc.identifier.citationde la Cruz López, M.P., Cartelle Barros, J.J., del Caño Gochi, A., Garaboa Fernández, M.C. and Blanco Leis, J. (2022), Assessing the risk of robbery in bank branches to reduce impact on personnel. Risk Analysis, 42: 385-405. https://doi.org/10.1111/risa.13761es_ES
dc.identifier.issn1539-6924
dc.identifier.urihttp://hdl.handle.net/2183/30528
dc.descriptionFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUGes_ES
dc.description.abstract[Abstract] According to existing literature, bank robberies can have a considerable impact on the people involved (employees, customers, and police officers), even if the direct economic losses are negligible. Consequently, this article presents a model to assess the risk of bank robbery, with the aim of reducing the impact on the people and prioritizing the investments in security measures. It is based on the MIVES (Spanish acronym for the Integrated Value Model for Sustainability Assessment) method and it was combined with Monte Carlo simulation as a way of taking into account the uncertainty. Correlations were also modeled, for simulation purposes. Indicators for addressing issues related to security features, employees, operational procedures, and physical and social environment were defined. The model was applied to two fictitious but realistic sets of cases. The first simulation provides a quick overview of the risk level of a fictitious bank, before collecting the full set of data from hundreds or thousands of branches. The second simulation analyzes the risk variation of a specific bank branch over time. The model was also used to assess the risk index of 636 real branches belonging to a Spanish bank. All the results are presented and discussed in depth. The model allows the user to identify the weak points of a branch, so that corrective measures can be taken.es_ES
dc.description.sponsorshipThe present research work was supported and funded by ABANCA Corporación Bancaria S.A. Funding for open access charge: Universidade da Coruña/CISUG
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.relation.urihttps://doi.org/10.1111/risa.13761es_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)es_ES
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCommercial bank brancheses_ES
dc.subjectMCDM methodes_ES
dc.subjectMonte Carloes_ES
dc.subjectRisk analysises_ES
dc.subjectRrobbery riskes_ES
dc.titleAssessing the Risk of Robbery in Bank Branches to Reduce Impact on Personneles_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleRisk Analysises_ES
UDC.volume42es_ES
UDC.issue2es_ES
UDC.startPage385es_ES
UDC.endPage405es_ES
dc.identifier.doi10.1111/risa.13761


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