COVID-19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions

Jie Sheng, Joseph Amankwah-Amoah, Zaheer Khan* (Corresponding Author), Xiaojun Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

152 Citations (Scopus)
21 Downloads (Pure)

Abstract

Although scholars in management recognize the value of harnessing big data to understand, predict and respond to future events, there remains little or very limited overview of how various analytics techniques can be harnessed to provide the basis for guiding scholars in studying contemporary management topics and global grand challenges raised by the COVID-19 pandemic. In this Methodology Corner, we present a review of the methodological innovations in studying big data analytics and how they can be better utilized to examine contemporary organizational issues. We provide insights on methods in descriptive/diagnostic, predictive and prescriptive analytics, and how they can be leveraged to study 'black swan' events such as the COVID-19-related global crisis and its aftermath's implications for managers and policymakers.

Original languageEnglish
Pages (from-to)1164-1183
Number of pages20
JournalBritish Journal of Management
Volume32
Issue number4
Early online date2 Nov 2020
DOIs
Publication statusPublished - 6 Oct 2021

Keywords

  • Big Data Analytics
  • Methodological Innovations
  • COVID-19
  • Coronavirus

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