Abstract

The objective of this article is the bibliometric analysis of peer-reviewed literature for the crisis management strategy of sharing economy services during the COVID-19 pandemic. The examination of the use of data analytics to manage crises during COVID-19 and how sharing economy businesses utilized technology to forecast consumer behavior during this time, determine safe business practices, and enhance their operations were the essential observations of the research. The COVID-19 outbreak significantly impacted the sharing economy. Many businesses in this sector experienced declining sales as customers stayed home and were discouraged from sharing resources. Five case studies combined crisis management and data analytics-related keywords. After several keyword searches on the Web of Science (WoS) database, bibliographic coupling methodology with the assistance of VOSviewer computational software was the preferred method. The study emphasized important research fronts and factors directing the causality between analytical usage and sharing economy service operations. The research results also indicated that information forecasting is an essential part of crisis management with the creation of efficient strategies to navigate the current climate and set themselves up for long-term success by utilizing data to get insights into consumer behavior and market conditions. The study uses the modeling visualization tool Lucidchart and the bibliometric computation software VOSviewer.