A non-parametric and multidirectional model in quantitative research

Bibliographic Details
Main Author: Murillo, Kelly Patricia
Publication Date: 2021
Other Authors: Rocha, Eugenio Alexander Miguel
Format: Article
Language: spa
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10773/33204
Summary: In this work, a non-parametric and deterministic approach based on multidirectional efficiency analysis (MEA) is presented. The proposed model involves MEA with other important mathematical techniques in data analysis, such as the calculation of the NC value for the analysis of groups with different levels of efficiency. This model allows us to examine the factors that influence the behavior of decision-making units in different contexts such as business efficiency, educational quality, energy efficiency, circular economy, among others. Particularly in this work, we show the results obtained in 1787 Portuguese companies in the materials manufacturing sector (manufacture of wood and paper; manufacture of rubber products, plastics and other non-metallic mineral products; manufacture of common metals and metallic products, except machinery and equipment) in an eight-year period (2006-2013) of study. The results allow, not only a characterization of the financial structure of the sector and a diagnosis through indices that identify the strategic positioning of companies in terms of efficiency scores; but also a characterization of the most efficient units and an analysis of the variables that must be addressed differently, to obtain better results, in terms of economic performance.
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spelling A non-parametric and multidirectional model in quantitative researchMultidirectional efficiency analysisNC valueDimensionality testCluster analysisFit modelManufacturing sectorIn this work, a non-parametric and deterministic approach based on multidirectional efficiency analysis (MEA) is presented. The proposed model involves MEA with other important mathematical techniques in data analysis, such as the calculation of the NC value for the analysis of groups with different levels of efficiency. This model allows us to examine the factors that influence the behavior of decision-making units in different contexts such as business efficiency, educational quality, energy efficiency, circular economy, among others. Particularly in this work, we show the results obtained in 1787 Portuguese companies in the materials manufacturing sector (manufacture of wood and paper; manufacture of rubber products, plastics and other non-metallic mineral products; manufacture of common metals and metallic products, except machinery and equipment) in an eight-year period (2006-2013) of study. The results allow, not only a characterization of the financial structure of the sector and a diagnosis through indices that identify the strategic positioning of companies in terms of efficiency scores; but also a characterization of the most efficient units and an analysis of the variables that must be addressed differently, to obtain better results, in terms of economic performance.En este trabajo, es presentado un enfoque no paramétrico y determinístico basado en análisis de eficiencia multidireccional (MEA). El modelo propuesto envuelve MEA con otras técnicas matemáticas importantes en el análisis de datos, como el cálculo del valor NC para el análisis de grupos con diferentes niveles de eficiencia. Este modelo, permite examinar los factores que influyen en el comportamiento de unidades de decisión de diferentes contextos como eficiencia empresaria, calidad educativa, eficiencia energética, economía circular, entre otros. Particularmente en este trabajo, mostramos los resultados obtenidos en 1787 empresas portuguesas en el sector de fabricación de materiales (fabricación de madera y papel; fabricación de productos de caucho, plásticos y otros productos minerales no metálicos; fabricación de metales comunes y productos metálicos, excepto maquinaria y equipos) en un periodo de ocho años (2006-2013) de estudio. Los resultados permiten, no solo una caracterización de la estructura financiera del sector y un diagnostico a través de índices que identifican el posicionamiento estratégico de las empresas en términos de puntajes de eficiencia; sino también una caracterización de las unidades más eficientes y un análisis de las variables que deben abordarse de manera diferente, para obtener mejores resultados, en términos de desempeño económico.Universidad Nacional de Trujillo2022-02-16T13:31:40Z2021-12-01T00:00:00Z2021-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/33204spa10.17268/Sel.matMurillo, Kelly PatriciaRocha, Eugenio Alexander Miguelinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:35:34Zoai:ria.ua.pt:10773/33204Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:13:49.685404Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A non-parametric and multidirectional model in quantitative research
title A non-parametric and multidirectional model in quantitative research
spellingShingle A non-parametric and multidirectional model in quantitative research
Murillo, Kelly Patricia
Multidirectional efficiency analysis
NC value
Dimensionality test
Cluster analysis
Fit model
Manufacturing sector
title_short A non-parametric and multidirectional model in quantitative research
title_full A non-parametric and multidirectional model in quantitative research
title_fullStr A non-parametric and multidirectional model in quantitative research
title_full_unstemmed A non-parametric and multidirectional model in quantitative research
title_sort A non-parametric and multidirectional model in quantitative research
author Murillo, Kelly Patricia
author_facet Murillo, Kelly Patricia
Rocha, Eugenio Alexander Miguel
author_role author
author2 Rocha, Eugenio Alexander Miguel
author2_role author
dc.contributor.author.fl_str_mv Murillo, Kelly Patricia
Rocha, Eugenio Alexander Miguel
dc.subject.por.fl_str_mv Multidirectional efficiency analysis
NC value
Dimensionality test
Cluster analysis
Fit model
Manufacturing sector
topic Multidirectional efficiency analysis
NC value
Dimensionality test
Cluster analysis
Fit model
Manufacturing sector
description In this work, a non-parametric and deterministic approach based on multidirectional efficiency analysis (MEA) is presented. The proposed model involves MEA with other important mathematical techniques in data analysis, such as the calculation of the NC value for the analysis of groups with different levels of efficiency. This model allows us to examine the factors that influence the behavior of decision-making units in different contexts such as business efficiency, educational quality, energy efficiency, circular economy, among others. Particularly in this work, we show the results obtained in 1787 Portuguese companies in the materials manufacturing sector (manufacture of wood and paper; manufacture of rubber products, plastics and other non-metallic mineral products; manufacture of common metals and metallic products, except machinery and equipment) in an eight-year period (2006-2013) of study. The results allow, not only a characterization of the financial structure of the sector and a diagnosis through indices that identify the strategic positioning of companies in terms of efficiency scores; but also a characterization of the most efficient units and an analysis of the variables that must be addressed differently, to obtain better results, in terms of economic performance.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-01T00:00:00Z
2021-12
2022-02-16T13:31:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/33204
url http://hdl.handle.net/10773/33204
dc.language.iso.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv 10.17268/Sel.mat
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Universidad Nacional de Trujillo
publisher.none.fl_str_mv Universidad Nacional de Trujillo
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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repository.mail.fl_str_mv info@rcaap.pt
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