The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis 2019

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	Vilela, JMD; Faria, JR
Título	Industry 4.0 and 5g technology on firms network: a balanced competitive expansion conceptual model development
Afiliaciones	Universidade Federal Fluminense
Año	2022
DOI	10.14488/BJOPM.2022.1426
Tipo de acceso abierto	gold
Referencia	WOS:000811447300003
Artículo obtenido de:	WOS

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

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