Using text mining tools to define territorial competitiveness indicators
For this study, articles from the fields of Social Sciences; Economics; Econometrics and Finance; Business and Management; and Accounting have been monitored for the period from 1979 to 2017. VOSviewer® was used to create, visualize and explore bibliometric information from Scopus scientific databas...
- Autores:
-
Ovallos-Gazabon, David
Puello-Pereira, Nataly
Meléndez-Pertuz, Farid
Vélez-Zapata, Jaime
De-La-Hoz-Franco, Emiro
Sanchez, Joaquín F.
Caro-Ruiz, Claudia
Cárdenas, César A.
Collazos-Morales, Carlos
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/4114
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/4114
- Palabra clave:
- Text Mining
Vosviewer
Competitiveness measurement
Indicator
Territorial
- Rights
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
| Summary: | For this study, articles from the fields of Social Sciences; Economics; Econometrics and Finance; Business and Management; and Accounting have been monitored for the period from 1979 to 2017. VOSviewer® was used to create, visualize and explore bibliometric information from Scopus scientific database, for the identification and definition of territorial competitiveness indi-cators. It has generated preliminary conclusions using citation relationships be-tween journals, collaborative relationships between researchers, and coexistence relationships between scientific terms from the identified target literature. |
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