Disasters and Supply Chain Disruptions: Analysing Information Sharing Patterns on following the Google News Baltimore Disaster through Topic Modelling

Abstract

Information Sharing on Google News which is extensively used platform regularly and particularly during disasters such as Baltimore Shipping Disaster have a significant impact on global supply chains. The study based on random selection of Google News articles particularly related to topic “Impact of Baltimore Disaster on Global Supply Chains” and text analysis is conducted using Graphic Network analysis and Topic Modelling using Latent Dirichlet Allocation method. Information sharing on Google News is highly effective and related to the topic of Baltimore disaster impact on supply chains on which businesses can make critical decisions.