RT info:eu-repo/semantics/article
T1 Mapping the scientific structure of organization and management of enterprises using complex networks
A1 Olivares Gil, Alicia
A1 Arnaiz Rodríguez, Adrián
A1 Ramírez Sanz, José Miguel
A1 Garrido Labrador, José Luis
A1 Ahedo García, Virginia
A1 García Osorio, César
A1 Santos Martín, José Ignacio
A1 Galán Ordax, José Manuel
K1 Complex networks
K1 Community detection
K1 Doctoral theses
K1 Pattern recognition
K1 Interdisciplinarity
K1 Organization and management of enterprises
K1 Gestión de empresas
K1 Industrial management
K1 Investigación
K1 Research
AB 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.
PB Universitat Politécnica de Valéncia
YR 2022
FD 2022-01
LK http://hdl.handle.net/10259/6385
UL http://hdl.handle.net/10259/6385
LA eng
NO Spanish Ministry of Science, Innovation and Universities (RED2018-102518-T), the Spanish State Research Agency (PID2020-118906GB-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 Olivares-Gil 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.
DS Repositorio Institucional de la Universidad de Burgos
RD 04-dic-2024