Artículo

The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis

Resumen

Today, the Big Data term has a multidimensional approach where five main characteristics stand out: volume, velocity, veracity, value and variety. It has changed from being an emerging theme to a growing research area. In this respect, this study analyses the literature on Big Data in the Economics, Econometrics and Finance field. To do that, 1.034 publications from 2015 to 2019 were evaluated using SciMAT as a bibliometric and network analysis software. SciMAT offers a complete approach of the field and evaluates the most cited and productive authors, countries and subject areas related to Big Data. Lastly, a science map is performed to understand the intellectual structure and the main research lines (themes).
Autores
Lopez-Robles, JR; Rodriguez-Salvador, M; Gamboa-Rosales, NK; Ramirez-Rosales, S; Cobo, MJ
Título
The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis
Afiliaciones
University of Basque Country; Tecnologico de Monterrey; Universidad Autonoma de Queretaro; Universidad de Cadiz
Año
2019
DOI
10.1016/j.procs.2019.12.044
Tipo de acceso abierto
gold, Green Published
Referencia
WOS:000514081500091
Artículo obtenido de:
WOS
Fuente
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