Cluster competitiveness modeling: approach with systems dynamics

This study makes a systemic review to cluster and create a competitiveness relationship considering a systems dynamics approach. A dynamic hypothesis was constructed to validate what factors increase a cluster’s level of competitiveness, through causal analysis. Then, the causal diagram that validat...

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Autores:: Martínez‐Marín, Sindy
Puello‐Pereira, Nataly
Ovallos‐Gazabon, David

Tipo de recurso:

Fecha de publicación:: 2020

Institución:: Universidad Simón Bolívar

Repositorio:: Repositorio Digital USB

Idioma:: eng

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dc.title.eng.fl_str_mv	Cluster competitiveness modeling: approach with systems dynamics
title	Cluster competitiveness modeling: approach with systems dynamics
spellingShingle	Cluster competitiveness modeling: approach with systems dynamics Competitiveness
title_short	Cluster competitiveness modeling: approach with systems dynamics
title_full	Cluster competitiveness modeling: approach with systems dynamics
title_fullStr	Cluster competitiveness modeling: approach with systems dynamics
title_full_unstemmed	Cluster competitiveness modeling: approach with systems dynamics
title_sort	Cluster competitiveness modeling: approach with systems dynamics
dc.creator.fl_str_mv	Martínez‐Marín, Sindy Puello‐Pereira, Nataly Ovallos‐Gazabon, David
dc.contributor.author.none.fl_str_mv	Martínez‐Marín, Sindy Puello‐Pereira, Nataly Ovallos‐Gazabon, David
dc.subject.eng.fl_str_mv	Competitiveness
topic	Competitiveness
description	This study makes a systemic review to cluster and create a competitiveness relationship considering a systems dynamics approach. A dynamic hypothesis was constructed to validate what factors increase a cluster’s level of competitiveness, through causal analysis. Then, the causal diagram that validates the dynamic H0 hypothesis was constructed in Vensim PLE systems®. Literature review shows the evolution of the cluster system according to the current needs of the market, and emphasizes the need for new approaches and models that capture the complexity and dynamics of this system, allowing the understanding of its structure and the evaluation of the contribution of factors and capabilities to cluster competitiveness. It highlights the usefulness of systems dynamics as a simulation methodology for dynamic and complex systems, and establishes itself as a growing line of research applied to various systems of study. Dynamic hypothesis H0 was validated using the causal diagram, reaching the conclusion that innovation, productive management, financial management, organizational management, commercial management, and cluster management factors positively increase the cluster competitiveness level. From structure analysis, the behavior is associated to the archetype “Path Dependence,” usual in growing industrial markets.
publishDate	2020
dc.date.accessioned.none.fl_str_mv	2020-02-10T16:20:28Z
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dc.date.issued.none.fl_str_mv	2020-02
dc.type.eng.fl_str_mv	article
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dc.identifier.issn.none.fl_str_mv	20760760
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dc.publisher.none.fl_str_mv	MDPI
publisher.none.fl_str_mv	MDPI
dc.source.eng.fl_str_mv	Social Sciences
dc.source.spa.fl_str_mv	Vol, 9, No. 2 (2020)
institution	Universidad Simón Bolívar
dc.source.uri.eng.fl_str_mv	https://doi.org/10.3390/socsci9020012
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spelling	Martínez‐Marín, Sindyd5e0dc54-19dd-4fbd-b682-0506821b4c67Puello‐Pereira, Nataly5c868345-de7b-43f5-9c29-be05f494e8f1Ovallos‐Gazabon, David0bdac645-050f-436a-8762-4bc559362fab2020-02-10T16:20:28Z2020-02-10T16:20:28Z2020-0220760760https://hdl.handle.net/20.500.12442/4711This study makes a systemic review to cluster and create a competitiveness relationship considering a systems dynamics approach. A dynamic hypothesis was constructed to validate what factors increase a cluster’s level of competitiveness, through causal analysis. Then, the causal diagram that validates the dynamic H0 hypothesis was constructed in Vensim PLE systems®. Literature review shows the evolution of the cluster system according to the current needs of the market, and emphasizes the need for new approaches and models that capture the complexity and dynamics of this system, allowing the understanding of its structure and the evaluation of the contribution of factors and capabilities to cluster competitiveness. It highlights the usefulness of systems dynamics as a simulation methodology for dynamic and complex systems, and establishes itself as a growing line of research applied to various systems of study. Dynamic hypothesis H0 was validated using the causal diagram, reaching the conclusion that innovation, productive management, financial management, organizational management, commercial management, and cluster management factors positively increase the cluster competitiveness level. From structure analysis, the behavior is associated to the archetype “Path Dependence,” usual in growing industrial markets.pdfengMDPIAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2Social SciencesVol, 9, No. 2 (2020)https://doi.org/10.3390/socsci9020012CompetitivenessCluster competitiveness modeling: approach with systems dynamicsarticlearticlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501(Alefari et al. 2018) Alefari, Mudhafar, Angel Maria Fernández Barahona, and Konstantinos Salonitis. 2018. Modelling Manufacturing Employees’ Performance Based on a System Dynamics Approach. Procedia CIRP 72: 438–43.(Alic 1987) Alic, John A. 1987. Evaluating Industrial Competitiveness at the Office of Technology Assessment. Technology in Society 9: 1–17. doi:10.1016/0160‐791X(87)90027‐3.(Álvarez Falcón 2014) Álvarez Falcón, César. 2014. 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Cluster competitiveness modeling: approach with systems dynamics

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