[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128383-en":3,"doc-seo-128383-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},128383,962085564807,"Aurelia","https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8",8,"Research & Report","Unpacking the impact of COVID-19 on tourism job demand - a machine learning-driven web scraping analysis in Greece - research article summary","The onset of the COVID-19 pandemic profoundly affected the global economy, with tourism among the hardest-hit sectors. This study uses machine learning-driven web scraping and data analysis to examine job advertisements in Greece, with the goal of quantifying changes in tourism-related employment demand. Results indicate a 7.5% rise in part-time roles with short-term contracts and growth in blue-collar high-skilled positions requiring tertiary education. The online job skill profile shifts toward healthcare, information management, and food service administration, informing post-pandemic policy priorities.","Current Issues in Tourism  \nISSN: 1368-3500 (Print) 1747-7603 (Online) Journal [homepage: ](homepage: www.tandfonline.com/journals/rcit20)[www.tandfonline.com/journals/rcit20](homepage: www.tandfonline.com/journals/rcit20)  \nUnpacking the impact of COVID-19 on tourism job demand: a machine learning-driven web scraping analysis in Greece  \nEvangelos Mourelatos , Panagiotis Zervas , Nikos Zotos , Konstantinos C. Giotopoulos & Giannis Tzimas  \nTo cite this article: Evangelos Mourelatos , Panagiotis Zervas , Nikos Zotos , Konstantinos C. Giotopoulos & Giannis Tzimas (25 Sep 2025): Unpacking the impact of COVID-19 on tourism job demand: a machine learning-driven web scraping analysis in Greece, Current Issues in  \nTourism, DOI: 10. 1080/13683500 .2025.2563790  \nTo link to this article: [https://doi.org/10.1080/13683500.2025.2563790](https://doi.org/10.1080/13683500.2025.2563790)  \n© 2025 The Author(s) . Published by Informa UK Limited, trading as Taylor & Francis Group  \n\n|  Published online: 25 Sep 2025. |  |\n| --- | --- |\n|  | Submit your article to this journal  |\n|  | Article views: 88 |\n|  | View related articles  |\n|  View Crossmark data |  |\n\nFull Terms & Conditions of access and use can be found at [https://www.tandfonline.com/action/journalInformation?journalCode=rcit20](https://www.tandfonline.com/action/journalInformation?journalCode=rcit20)  \nCURRENT ISSUES IN TOURISM  \n[https://doi.org/10.1080/13683500.2025.2563790](https://doi.org/10.1080/13683500.2025.2563790)  \nRESEARCH ARTICLE     \nUnpacking the impact of COVID-19 on tourism job demand: a machine learning-driven web scraping analysis in Greece  \nEvangelos Mourelatosa, Panagiotis Zervasb, Nikos Zotosc, Konstantinos C. Giotopouloscand Giannis Tzimasb  \naDepartment of Economics, Accounting and Finance, Oulu Business School, University of Oulu, Oulu, Finland; bData and Media Laboratory, Department of Electrical and Computer Engineering, University of Peloponnese, Tripoli, Greece; cDepartment of Management Science and Technology, University of Patras, Patras, Greece  \nABSTRACT  \nThe 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 parttime 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,  \nhighlighting the demand for specific skills in the evolving tourism industry.  \nARTICLE HISTORY  \nReceived 8 January 2024 Accepted 15 September 2025  \nKEYWORDS  \nCOVID-19; tourism employment; machine learning; job portals; job skills; scraping analysis  \n1. Introduction  \nThe global COVID-19 pandemic initiated an unprecedented crisis in the tourism industry, triggering severe economic repercussions worldwide. Tourism, an industry deeply dependent on mobility and social interaction, suffered extensive disruptions as nations imposed restrictions to contain the virus (Plzáková & Smeral, 2022) . Critical subsectors within tourism, such as hospitality, entertainment, and cruise lines, were significantly impacted, leading to a dramatic decline in both international and domestic travel (Sigala, 2020) . Consequently, the demand for tourism-related jobs dropped sharply, affecting economies heavily reliant on this sector.  \nThe pandemic prompted governments across Europe to enforce strict lockdowns and curtail nonessential activities, impacting tourism more severely than other sectors (Lenzen et","cbCaigbXGL7zPHrS","https://ap.wps.com/l/cbCaigbXGL7zPHrS","pdf",1544148,2,1,30,"English","en",105,"# Abstract\n# Introduction\n## COVID-19 disruption to tourism and employment demand\n## Research gap on job-demand effects\n# Methods and data (web scraping and machine learning)\n# Findings\n## Contract type and job-role shifts\n## Blue-collar high-skill and education targeting\n## Evolving online skill profiles\n# Implications for policy and post-pandemic adaptation","[{\"question\":\"What data and approach does the study use to assess tourism job demand?\",\"answer\":\"The study applies machine learning-driven web scraping and data analysis to examine job advertisements in Greece.\"},{\"question\":\"What changes in tourism employment demand were observed during the pandemic?\",\"answer\":\"Findings show a 7.5% surge in part-time positions with short-term contracts and an increase in blue-collar high-skilled occupations.\"},{\"question\":\"Which skills became more prominent for online tourism jobs?\",\"answer\":\"The skill profile emphasizes competencies in healthcare, information management, and food service administration.\"}]","Unpacking the impact of COVID-19 on tourism job demand - 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