TY - JOUR
AU - Sheng, Jie
AU - Amankwah-Amoah, Joseph
AU - Khan, Zaheer
AU - Wang, Xiaojun
PY - 2021
DA - October
TI - COVID-19 Pandemic in the New Era of Big Data Analytics : Methodological Innovations and Future Research Directions
JO - British Journal of Management
EP - 1183
VL - 32
IS - 4
DO - https://doi.org/10.1111/1467-8551.12441
AB - 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 thisMethodology 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.
PB - Wiley
UR - https://aura.abdn.ac.uk/handle/2164/17272
KW - Coronavirus (COVID-19)
KW - Digital health and technology
ER