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Big Data and State Capitalism

Dados Bibliográficos

ID23611981
AutoresAnupriya Misra (,), Vania Sena (University of Sheffield)
Ano2022
Páginas384-400
Data de publicação2022-12-19
Peer ReviewedSim
Open AccessNão
TipoCHAPTER
PeriódicoOxford Handbook of State Capitalism and the Firm (SOURCE_BOOK)
EditoraOxford University Press (PUBLISHER • GB)
DOI10.1093/oxfordhb/9780198837367.013.17
OpenAlexW4311886183
ISBN9780198837367
IdiomaEN
Referências citadas8

This chapter has explored the relationship between big data and state capitalism. Our starting premise is that big data offer several opportunities. Like any other organization, SOEs produce large volumes of data while undertaking their routine activities. As a result, they end up storing data of different type and complexity that can be used to improve our understanding of the drivers of their performance and by governments and practitioners to improve the SOEs performance. The chapter has analyzed the benefits that big data can offer to limit the liability of stateness and the challenges they can pose.

Big data · Business · Capitalism · Data mining · Data science · Economic system · Economics · Epistemology · Liability · Political science · Premise · State (computer science) · State capitalism · Accounting · Big Data and Business Intelligence · Blockchain Technology Applications and Security · Computer Science · Law · Scientific Computing and Data Management

  • Reinventing State Capitalism

    Aldo Musacchio, Sérgio G Lazzarini•Reinventing State Capitalism•2014

  • Beyond the hype

    Open Access•Amir Gandomi, Murtaza Haider•International Journal of…•2015

  • Critical analysis of Big Data challenges and analytical methods

    Open Access•Uthayasankar Sivarajah, Muhammad Mustafa Kamal et al.•Journal of Business Research•2017

  • Debating big data

    Open Access•Wendy Arianne Günther, Wendy Günther et al.•The Journal of Strategic…•2017

  • Brazil's State-Owned Enterprises

    William Diebold, Thomas J Trebat•Foreign Affairs•1983

Velocidade de citaçãohistorical
Altamente citadoNão
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