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

López-Robles, José-Ricardo, Rodríguez-Salvador, Marisela, Gamboa-Rosales, Nadia-Karina, Ramírez-Rosales, Selene and Cobo-Martín, Manuel-Jesús The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis., 2019 . In The International Conference on Information Technology and Quantitative Management (ITQM), Granada (Spain), November 3-6, 2019. [Presentation]

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English abstract

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).

Item type: Presentation
Keywords: Big-data; Strategic Intelligence; Bibliometric Analysis; Science Mapping; SciMAT.
Subjects: B. Information use and sociology of information > BA. Use and impact of information.
B. Information use and sociology of information > BB. Bibliometric methods
B. Information use and sociology of information > BG. Information dissemination and diffusion.
F. Management.
Depositing user: J.R. López-Robles
Date deposited: 18 Feb 2020 21:08
Last modified: 18 Feb 2020 21:08
URI: http://hdl.handle.net/10760/39671

References

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