RT conference output
T1 The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis
A1 López-Robles, José Ricardo
A1 Rodríguez-Salvador, Marisela
A1 Gamboa-Rosales, Nadia Karina
A1 Ramirez-Rosales, Selene
A1 Cobo Martín, Manuel Jesús
A2 Ingeniería Informática
AB 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).
PB ELSEVIER SCIENCE BV
SN 1877-0509
YR 2019
FD 2019
LK http://hdl.handle.net/10498/22576
UL http://hdl.handle.net/10498/22576
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 13-nov-2026