Abstract: Abstract The aim of this study is to analyze social media messages, specifically tweets from logistics organizations and retweets of their customers regarding competitive priorities that create a sustainable competitive advantage during the current Covid-19 pandemic. Sentiment analysis with Support Vector Machine (SVM) methodology w used to assess a sample of more than 941 Covid-19 related tweets and re-tweets by top logistics organizations (logistics service providers) selected from Europe, the North America, Far East Asia, and Middle East. Th...
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Topics: 
Marketing
Environmental economics
Process management