TY - JOUR
T1 - COVID-19 Pandemic in the New Era of Big Data Analytics
T2 - Methodological Innovations and Future Research Directions
AU - Sheng, Jie
AU - Amankwah-Amoah, Joseph
AU - Khan, Zaheer
AU - Wang, Xiaojun
PY - 2020/11/2
Y1 - 2020/11/2
N2 - 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.
AB - 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.
U2 - 10.1111/1467-8551.12441
DO - 10.1111/1467-8551.12441
M3 - Article (Academic Journal)
SN - 1045-3172
JO - British Journal of Management
JF - British Journal of Management
ER -