This report aims to classify Digital Labour Platforms (DLPs) and lays the groundwork for a feasibility study on job-related information extraction. Focusing on multi-professional DLPs across five European countries—Bulgaria, France, Germany, Italy, and Spain—the study employs a two-step methodology involving desk research and in-depth country-specific analysis. The report identifies four main classification criteria: Location of Service, Skill Level Required, Number of Professions, and Selection Process. It also examines operational variables like structural features and information availability.
Key findings reveal a total of 174 DLPs, with France having the highest proportion of national platforms and Bulgaria being an outlier due to its unique characteristics. The report also uncovers sectoral preferences, skill level distributions, and algorithmic management techniques, highlighting significant variability across countries and types of platforms. Information availability on these platforms also varies by country and platform type, with job titles generally being mandatory and other job-related information ranging from optional to unavailable.
The study concludes with methodological caveats, particularly advising caution in interpreting data from Bulgaria and Spain due to the skewing influence of multinational and global DLPs. The report serves as a foundational resource for understanding the complex landscape of DLPs and their role in labor market dynamics.
Please log in or sign up to comment.