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Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems

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Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems

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dc.contributor.author Brocal Fernández, Francisco es_ES
dc.contributor.author Sánchez-Lite, Alberto es_ES
dc.contributor.author Fuentes Bargues, José Luis es_ES
dc.contributor.author Sebastián, Miguel Á. es_ES
dc.contributor.author González-Gaya, Cristina es_ES
dc.date.accessioned 2022-01-28T07:41:21Z
dc.date.available 2022-01-28T07:41:21Z
dc.date.issued 2021-11 es_ES
dc.identifier.uri http://hdl.handle.net/10251/180333
dc.description.abstract [EN] Companies that implement Integrated Management Systems (IMS) require approaches that optimize resources and results. In the case of IMS of a new or emerging nature, the use of dynamics risk analysis approaches and the integration of real¿time monitoring data in the risk assessment process offers news perspectives. The objective of this work is to identify and classify leading indicators that facilitate the dynamic analyses of emerging risks in an IMS for quality, envi¿ ronment, and safety. For it, such indicator analysis has been based on a bibliographic analysis. Regarding results, firstly, a structure of indicators emerges configured of three categories organized in two levels. At the first level, it is established by the indicators of the IMS which can be integrated. The second level is configured of two categories of interrelated indicators, that is, process integrity indicators and occupational risks indicators. In turn, each of these three categories has two dimensions. The first dimension represents the direction of the indicator, leading or lagging indicator. The second dimension represents the risk nature, emerging or traditional risk. Secondly, a classification of the leading indicators is derived according to the categories of the indicators and the risk nature. This classification shows the direction of the leading indicators as well as qualitative graduation of the potential associated consequences. Said theoretical framework has been applied to a case study configured by a manufacturing process. Thus, a conceptual scheme has been developed that represents the first step towards a more in¿depth and detailed development that allows the identification and definition of specific leading indicators within an IMS from a dynamic and emerging risk perspective. es_ES
dc.description.sponsorship This work was funded by the ETSII-Universidad Nacional de Educación a Distancia (UNED) of Spain, and the Spanish Ministry of Economy and Competitiveness, with the title: Analysis and Assessment of technological requirements for the design of a New and Emerging Risks standardized management SYStem (A2NERSYS) with reference DPI2016-79824-R. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Applied Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Dynamics risk analysis es_ES
dc.subject Emerging risk es_ES
dc.subject Integrated management systems es_ES
dc.subject Leading indicators es_ES
dc.subject Safety es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.title Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/app112210921 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINISTERIO DE ECONOMÍA Y COMPETITIVIDAD//DPI2016-79824-R//ANÁLISIS Y EVALUACIÓN TECNOLÓGICA DE REQUISITOS PARA EL DISEÑO DE UN SISTEMA NORMALIZADO DE GESTIÓN DE RIESGOS NUEVOS Y EMERGENTES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria es_ES
dc.description.bibliographicCitation Brocal Fernández, F.; Sánchez-Lite, A.; Fuentes Bargues, JL.; Sebastián, MÁ.; González-Gaya, C. (2021). Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems. Applied Sciences. 11(22):1-11. https://doi.org/10.3390/app112210921 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/app112210921 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 11 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 22 es_ES
dc.identifier.eissn 2076-3417 es_ES
dc.relation.pasarela S\450303 es_ES
dc.contributor.funder MINISTERIO DE ECONOMÍA Y COMPETITIVIDAD es_ES
dc.contributor.funder Universidad Nacional de Educación a Distancia es_ES


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