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

Jie Sheng, Joseph Amankwah-Amoah, Zaheer Khan*, Xiaojun Wang

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

152 Citations (Scopus)
392 Downloads (Pure)


Although scholars in management recognise 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 utilised to examine contemporary organisational 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
Number of pages20
JournalBritish Journal of Management
Publication statusPublished - 2 Nov 2020

Structured keywords

  • Covid19

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