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A systemic methodology for the reduction of complexity of the balanced scorecard in the manufacturing environment

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A systemic methodology for the reduction of complexity of the balanced scorecard in the manufacturing environment

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dc.contributor.author Sánchez-Márquez, Rafael es_ES
dc.contributor.author Albarracín Guillem, José Miguel es_ES
dc.contributor.author Vicens Salort, Eduardo es_ES
dc.contributor.author Jabaloyes Vivas, José Manuel es_ES
dc.date.accessioned 2021-05-21T03:32:16Z
dc.date.available 2021-05-21T03:32:16Z
dc.date.issued 2020-01-01 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166594
dc.description.abstract [EN] The main objective of this paper is to develop and validate a methodology to select the most important key performance indicators from the balanced scorecard. The methodology uses and validates the implicit systemic hypothesis in the balanced scorecard model, together with a qualitative and statistical analysis. It helps to determine a small set of indicators that summarizes the company's performance. The method was tested using actual data of 3 complete years of a multinational manufacturing company's balanced scorecard. The results showed that the scorecard can be summarized in six metrics, one for each dimension, from an initial scorecard composed of 90 indicators. In addition to reducing complexity, the method tackles the hitherto unresolved issues of the analysis of the trade-offs between different dimensions and the lagged effects between metrics. es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation.ispartof Cogent Business & Management es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Balanced Scorecard (BSC) es_ES
dc.subject Strategy es_ES
dc.subject Policy deployment es_ES
dc.subject Lagged time series es_ES
dc.subject Key Performance Indicators (KPIs) es_ES
dc.subject Operating System (OS) es_ES
dc.subject Dynamic principal component analysis (DiPCA) es_ES
dc.subject Correlation analysis es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A systemic methodology for the reduction of complexity of the balanced scorecard in the manufacturing environment es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/23311975.2020.1720944 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Sánchez-Márquez, R.; Albarracín Guillem, JM.; Vicens Salort, E.; Jabaloyes Vivas, JM. (2020). A systemic methodology for the reduction of complexity of the balanced scorecard in the manufacturing environment. Cogent Business & Management. 7(1):1-18. https://doi.org/10.1080/23311975.2020.1720944 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1080/23311975.2020.1720944 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 18 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 7 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2331-1975 es_ES
dc.relation.pasarela S\409011 es_ES
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