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

José Ricardo López-Robles | Zendy; Marisela Rodríguez-Salvador | Zendy; Nadia-Karina Gamboa-Rosales | Zendy; Selene Ramirez-Rosales | Zendy; Manuel J. Cobo | Zendy

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

Author(s) -

José Ricardo López-Robles,

Marisela Rodríguez-Salvador,

Nadia-Karina Gamboa-Rosales,

Selene Ramirez-Rosales,

Manuel J. Cobo

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.12.044

Subject(s) - computer science , identification (biology) , big data , data science , econometrics , management science , data mining , economics , botany , biology

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).

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