Classification of the Most Preferred Destinations in 2020 By Digital Nomads in Nomad List According to Destination Selection Criteria

Abstract

In the COVID-19 process, there is a serious increase in the rate of remote working in the world, and this increases the number of digital nomads that are becoming more popular every year in the world. Used by more than 1 million people in 2020, nomadlist.com has become the most preferred platform for digital nomads for both destination selection and communication networks. The purpose of this study is to analyze the data in the Nomad List to determine how the top 20 most preferred digital nomad destinations are clustered in 2020 and to define cluster profiles according to cluster averages. K-means cluster analysis was used in the SPSS program for the data obtained through NomadList in the study. When the cluster analysis was analyzed and the means were compared. The analysis yielded three clusters as high-tolerance-luxury digital nomad destinations, low-tolerance-economic digital nomad destinations, and hightolerance- economic digital nomad destinations.