Machine learning-driven analysis examines employment trends in tourism during the COVID-19 pandemic in Greece, suggesting necessary skill adaptations.
The onset of the COVID-19 pandemic profoundly impacted the global economy, particularly the tourism sector. This study employs machine learning-driven web scraping and data analysis to examine job advertisements in Greece, aiming to quantify the pandemic's effects on tourism employment. Empirical findings reveal a 7.5% surge in part-time positions with short-term contracts and an increase in blue-collar high-skilled occupations, targeting individuals with tertiary-level education. The skill profile for online tourism jobs has transformed, emphasising competencies in healthcare, information management, and food service administration. These insights can inform policy decisions to revitalise the tourism sector and help it adapt in the post-pandemic period. The study sheds light on the changing employment landscape, highlighting the demand for specific skills in the evolving tourism industry.
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Mourelatos et al. (2025) studied this question.
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