A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES

[EN] The small and medium-sized enterprises (SMEs) are the main driver of employment, those that contribute greater economic growth in gross domestic product and innovation. The analysis of the factors that influence in SMEs growth seems decisive in knowing how SMEs compete, helping to prioritize re...

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Detalles Bibliográficos
Autores: Ruano-Ortiz, Ester Elena, Rodríguez Rodríguez, Raúl|||0000-0001-5133-7023
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/220770
Acceso en línea:https://riunet.upv.es/handle/10251/220770
Access Level:acceso abierto
Palabra clave:Small and medium-sized enterprises (SMEs)
Key factors for growth
Growth strategies
Bayesian Best and Worst Method
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spelling A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMESRuano-Ortiz, Ester ElenaRodríguez Rodríguez, Raúl|||0000-0001-5133-7023Small and medium-sized enterprises (SMEs)Key factors for growthGrowth strategiesBayesian Best and Worst Method[EN] The small and medium-sized enterprises (SMEs) are the main driver of employment, those that contribute greater economic growth in gross domestic product and innovation. The analysis of the factors that influence in SMEs growth seems decisive in knowing how SMEs compete, helping to prioritize resources and make decisions. This research has presented a methodology for decision-makers when having to select the most appropriate growth strategy. In this paper, the two first steps of such methodology have been implemented, having identified, from the scientific literatura, eight key growth factors and four SMEs growth strategies. Additionally, it has justified the application of the Bayesian Best and Worst Method in order to be able to rank these four strategies by weighting these eight key growth factors.IJAREMDepartamento de Organización de EmpresasCentro de Investigación en Gestión e Ingeniería de ProducciónEscuela Técnica Superior de Ingeniería IndustrialRepositorio Institucional de la Universitat Politècnica de València Riunet20242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/220770reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2207702026-06-13T07:49:27Z
dc.title.none.fl_str_mv A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES
title A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES
spellingShingle A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES
Ruano-Ortiz, Ester Elena
Small and medium-sized enterprises (SMEs)
Key factors for growth
Growth strategies
Bayesian Best and Worst Method
title_short A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES
title_full A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES
title_fullStr A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES
title_full_unstemmed A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES
title_sort A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES
dc.creator.none.fl_str_mv Ruano-Ortiz, Ester Elena
Rodríguez Rodríguez, Raúl|||0000-0001-5133-7023
author Ruano-Ortiz, Ester Elena
author_facet Ruano-Ortiz, Ester Elena
Rodríguez Rodríguez, Raúl|||0000-0001-5133-7023
author_role author
author2 Rodríguez Rodríguez, Raúl|||0000-0001-5133-7023
author2_role author
dc.contributor.none.fl_str_mv Departamento de Organización de Empresas
Centro de Investigación en Gestión e Ingeniería de Producción
Escuela Técnica Superior de Ingeniería Industrial
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Small and medium-sized enterprises (SMEs)
Key factors for growth
Growth strategies
Bayesian Best and Worst Method
topic Small and medium-sized enterprises (SMEs)
Key factors for growth
Growth strategies
Bayesian Best and Worst Method
description [EN] The small and medium-sized enterprises (SMEs) are the main driver of employment, those that contribute greater economic growth in gross domestic product and innovation. The analysis of the factors that influence in SMEs growth seems decisive in knowing how SMEs compete, helping to prioritize resources and make decisions. This research has presented a methodology for decision-makers when having to select the most appropriate growth strategy. In this paper, the two first steps of such methodology have been implemented, having identified, from the scientific literatura, eight key growth factors and four SMEs growth strategies. Additionally, it has justified the application of the Bayesian Best and Worst Method in order to be able to rank these four strategies by weighting these eight key growth factors.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/220770
url https://riunet.upv.es/handle/10251/220770
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IJAREM
publisher.none.fl_str_mv IJAREM
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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