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

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 new...

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Autores principales:	Francisco Brocal Fernandez, Alberto Sanchez-Lite, José Luis Fuentes-Bargues, Miguel Á. Sebastian, Cristina González-Gaya
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	dynamics risk analysis emerging risk integrated management systems leading indicators safety Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/e59b2a97a749492d844e91ea10626bfc
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id	oai:doaj.org-article:e59b2a97a749492d844e91ea10626bfc
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spelling	oai:doaj.org-article:e59b2a97a749492d844e91ea10626bfc2021-11-25T16:40:56ZConceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems10.3390/app1122109212076-3417https://doaj.org/article/e59b2a97a749492d844e91ea10626bfc2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10921https://doaj.org/toc/2076-3417Companies 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, environment, 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.Francisco Brocal FernandezAlberto Sanchez-LiteJosé Luis Fuentes-BarguesMiguel Á. SebastianCristina González-GayaMDPI AGarticledynamics risk analysisemerging riskintegrated management systemsleading indicatorssafetyTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10921, p 10921 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	dynamics risk analysis emerging risk integrated management systems leading indicators safety Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	dynamics risk analysis emerging risk integrated management systems leading indicators safety Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Francisco Brocal Fernandez Alberto Sanchez-Lite José Luis Fuentes-Bargues Miguel Á. Sebastian Cristina González-Gaya Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems
description	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, environment, 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.
format	article
author	Francisco Brocal Fernandez Alberto Sanchez-Lite José Luis Fuentes-Bargues Miguel Á. Sebastian Cristina González-Gaya
author_facet	Francisco Brocal Fernandez Alberto Sanchez-Lite José Luis Fuentes-Bargues Miguel Á. Sebastian Cristina González-Gaya
author_sort	Francisco Brocal Fernandez
title	Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems
title_short	Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems
title_full	Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems
title_fullStr	Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems
title_full_unstemmed	Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems
title_sort	conceptual classification of leading indicators for the dynamic analysis of emerging risks in integrated management systems
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e59b2a97a749492d844e91ea10626bfc
work_keys_str_mv	AT franciscobrocalfernandez conceptualclassificationofleadingindicatorsforthedynamicanalysisofemergingrisksinintegratedmanagementsystems AT albertosanchezlite conceptualclassificationofleadingindicatorsforthedynamicanalysisofemergingrisksinintegratedmanagementsystems AT joseluisfuentesbargues conceptualclassificationofleadingindicatorsforthedynamicanalysisofemergingrisksinintegratedmanagementsystems AT miguelasebastian conceptualclassificationofleadingindicatorsforthedynamicanalysisofemergingrisksinintegratedmanagementsystems AT cristinagonzalezgaya conceptualclassificationofleadingindicatorsforthedynamicanalysisofemergingrisksinintegratedmanagementsystems
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Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems

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