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

  1. Alicia Olivares Gil 1
  2. Adrián Arnaiz Rodríguez 2
  3. José Miguel Ramírez Sanz 1
  4. José Luis Garrido Labrador 1
  5. Virginia Ahedo García 1
  6. César García Osorio 1
  7. José Ignacio Santos Martín 1
  8. José Manuel Galán Ordax 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

  2. 2 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Revista:
International Journal of Production Management and Engineering (IJPME)

ISSN: 2340-4876

Ano de publicación: 2022

Volume: 10

Número: 1

Páxinas: 65-76

Tipo: Artigo

DOI: 10.4995/IJPME.2022.16666 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: International Journal of Production Management and Engineering (IJPME)

Indicadores

Citas recibidas

  • Citas en Scopus: 1 (20-01-2023)

SCImago Journal Rank

(Valores previstos, calculados en base ao último indicador recollido, ano 2.021)
  • Ano 2021
  • Impacto SJR da revista: 0.138
  • Cuartil maior: Q4
  • Área: Business and International Management Cuartil: Q4 Posición na área: 359/434
  • Área: Strategy and Management Cuartil: Q4 Posición na área: 414/472
  • Área: Management Science and Operations Research Cuartil: Q4 Posición na área: 165/182
  • Área: Industrial and Manufacturing Engineering Cuartil: Q4 Posición na área: 292/368

CIRC

  • Ciencias Sociais: C

Scopus CiteScore

(Valores previstos, calculados en base ao último indicador recollido, ano 2.021)
  • Ano 2021
  • CiteScore da revista: 0.6
  • Área: Industrial and Manufacturing Engineering Percentil: 17
  • Área: Business and International Management Percentil: 14
  • Área: Strategy and Management Percentil: 12
  • Área: Management Science and Operations Research Percentil: 10

Journal Citation Indicator (JCI)

(Valores previstos, calculados en base ao último indicador recollido, ano 2.021)
  • Ano 2021
  • JCI da revista: 0.25
  • Cuartil maior: Q3
  • Área: ENGINEERING, MULTIDISCIPLINARY Cuartil: Q3 Posición na área: 112/175

Resumo

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.

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