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

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,...

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Published inProcedia computer science Vol. 162; pp. 729 - 736
Main Authors López-Robles, José Ricardo, Rodríguez-Salvador, Marisela, Gamboa-Rosales, Nadia Karina, Ramirez-Rosales, Selene, Cobo, Manuel Jesús
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2019
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Summary: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).
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2019.12.044