Mapping the scientific structure of organization and management of enterprises using complex networks
- Alicia Olivares Gil 1
- Adrián Arnaiz Rodríguez 2
- José Miguel Ramírez Sanz 1
- José Luis Garrido Labrador 1
- Virginia Ahedo García 1
- César García Osorio 1
- José Ignacio Santos Martín 1
- José Manuel Galán Ordax 1
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1
Universidad de Burgos
info
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2
Universitat d'Alacant
info
ISSN: 2340-4876
Year of publication: 2022
Volume: 10
Issue: 1
Pages: 65-76
Type: Article
More publications in: International Journal of Production Management and Engineering (IJPME)
Metrics
SCImago Journal Rank
(Indicator corresponding to the last year available on this portal, year 2021)- Year 2021
- SJR Journal Impact: 0.138
- Best Quartile: Q4
- Area: Business and International Management Quartile: Q4 Rank in area: 359/434
- Area: Strategy and Management Quartile: Q4 Rank in area: 414/472
- Area: Management Science and Operations Research Quartile: Q4 Rank in area: 165/182
- Area: Industrial and Manufacturing Engineering Quartile: Q4 Rank in area: 292/368
CIRC
- Social Sciences: C
Scopus CiteScore
(Indicator corresponding to the last year available on this portal, year 2021)- Year 2021
- CiteScore of the Journal : 0.6
- Area: Industrial and Manufacturing Engineering Percentile: 17
- Area: Business and International Management Percentile: 14
- Area: Strategy and Management Percentile: 12
- Area: Management Science and Operations Research Percentile: 10
Journal Citation Indicator (JCI)
(Indicator corresponding to the last year available on this portal, year 2021)- Year 2021
- Journal Citation Indicator (JCI): 0.25
- Best Quartile: Q3
- Area: ENGINEERING, MULTIDISCIPLINARY Quartile: Q3 Rank in area: 112/175
Dimensions
(Data updated as of 20-03-2023)- Total citations: 1
- Recent citations: 1
Abstract
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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