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 language | English |
|---|---|
| Pages (from-to) | 1164-1183 |
| Number of pages | 20 |
| Journal | British Journal of Management |
| Volume | 32 |
| Issue number | 4 |
| Early online date | 2 Nov 2020 |
| DOIs | |
| Publication status | Published - 6 Oct 2021 |
Keywords
- Big Data Analytics
- Methodological Innovations
- COVID-19
- Coronavirus
Access to Document
- Sheng_etal_BJM_Covid19_Pandemic_In_VoR
© 2021 The Authors. British Journal of Management published by John Wiley & Sons Ltd on behalf of British Academy of Management This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Zaheer Khan
- Business School, Business Management - Professor in Strategy & International Business
Person: Academic