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Mapping the scientific structure of organization and management of enterprises using complex networks

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Mapping the scientific structure of organization and management of enterprises using complex networks

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dc.contributor.author Olivares-Gil, Alicia es_ES
dc.contributor.author Arnaiz-Rodríguez, Adrián es_ES
dc.contributor.author Ramírez-Sanz, José Miguel es_ES
dc.contributor.author Garrido-Labrador, José Luis es_ES
dc.contributor.author Ahedo, Virginia es_ES
dc.contributor.author García-Osorio, César es_ES
dc.contributor.author Santos, José Ignacio es_ES
dc.contributor.author Galán, José Manuel es_ES
dc.date.accessioned 2022-02-07T10:10:03Z
dc.date.available 2022-02-07T10:10:03Z
dc.date.issued 2022-01-31
dc.identifier.uri http://hdl.handle.net/10251/180595
dc.description.abstract [EN] Understanding the scientific and social structure of a discipline is a fundamental aspect for scientific evaluation processes, identifying trends and niches, and balancing the trade-off between exploitation and exploration in research. In the present contribution, the production of doctoral theses is used as a proxy to analyze the scientific structure of the knowledge area of business organization in Spain. To that end, a complex networks approach is selected, and two different networks are built: (i) the social network of co-participation in thesis examining committees and thesis supervision, and (ii) a bipartite network of theses and thesis descriptors. The former has a modular structure that is partially explained by thematic specialization in different subdisciplines. The latter serves to assess the interdisciplinary structure of the discipline, as it enables the characterization of affinity levels between fields, research poles and thematic clusters. Our results have implications for the scientific evaluation and formal definition of related fields. es_ES
dc.description.sponsorship The authors acknowledge financial support from the and Spanish Ministry of Science, Innovation Universities (RED2018-102518-T), the Spanish State Research Agency (PID2020118906GB-I00 and PID2020-119894GB-I00 via AEI/10.13039/501100011033), the Junta de Castilla y León – Consejería de Educación (BU055P20), Fundación La Caixa (2020/00062/001) and from NVIDIA Corporation and its donation of the TITAN Xp GPUs that facilitated this research. This work was partially supported by the European Social Fund, as the authors José Miguel Ramírez-Sanz, José Luis Garrido-Labrador and Alicia OlivaresGil are the recipient of a predoctoral grant from the Department of Education of Junta de Castilla y León (VA) (ORDEN EDU/875/2021). In addition, this work was also partially supported by the Generalitat Valenciana via its Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, as Adrián Arnaiz is recipicient of a predoctoral grant. The authors would also like to thank Dr. Manzanedo, Dra. Saiz-Bárcena, Dr. Solé Parellada, Dr. Izquierdo and Dr. del Olmo for their insightful help to improve the manuscript. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof International Journal of Production Management and Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Complex networks es_ES
dc.subject Community detection es_ES
dc.subject Doctoral theses es_ES
dc.subject Pattern recognition es_ES
dc.subject Interdisciplinarity es_ES
dc.subject Organization and management of enterprises es_ES
dc.title Mapping the scientific structure of organization and management of enterprises using complex networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/ijpme.2022.16666
dc.relation.projectID info:eu-repo/grantAgreement/MICIU//RED2018-102518-T/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119894GB-I00/ES/APRENDIZAJE AUTOMATICO CON DATOS ESCASAMENTE ETIQUETADOS PARA LA INDUSTRIA 4.0/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020118906GB-I00/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JCYL//BU055P20/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona//2020/00062/001/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JCYL//EDU/875/2021/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Olivares-Gil, A.; Arnaiz-Rodríguez, A.; Ramírez-Sanz, JM.; Garrido-Labrador, JL.; Ahedo, V.; García-Osorio, C.; Santos, JI.... (2022). Mapping the scientific structure of organization and management of enterprises using complex networks. International Journal of Production Management and Engineering. 10(1):65-76. https://doi.org/10.4995/ijpme.2022.16666 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2022.16666 es_ES
dc.description.upvformatpinicio 65 es_ES
dc.description.upvformatpfin 76 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2340-4876
dc.relation.pasarela OJS\16666 es_ES
dc.contributor.funder Ministerio de Ciencia, Innovación y Universidades es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Junta de Castilla y León es_ES
dc.contributor.funder Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona es_ES
dc.contributor.funder Nvidia es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder European Social Fund
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