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  • Framework for enhancing freelance talent acquisition in small and medium-sized enterprises, supported by natural language processing
    Publication . Popova, Maria Aleksandrovna; Santos, Arnaldo Manuel Pinto dos
    The evolution of freelancing has significantly impacted talent acquisition (TA) strategies in small and medium-sized enterprises (SMEs), presenting both challenges and opportunities. This study investigates the potential application of Natural Language Processing (NLP) to enhance freelance recruitment processes in SMEs through two main research components. First, a systematic literature review (SLR) was conducted to identify current research topics, challenges, and technological applications in this domain. The review examined recent publications, revealing that while NLP technologies show promise for optimizing various aspects of freelance talent acquisition, SMEs face persistent challenges, including skill mismatches, quality assurance concerns, and potential biases in the selection process. Based on the SLR findings, a preliminary framework structure was proposed to guide the second research component: a comprehensive survey of industry professionals. The survey, gathering responses from 102 participants (63 freelance translators and 39 vendor managers), aimed to validate the identified challenges and assess stakeholder receptiveness to NLP-enhanced solutions. While the actual development and testing of an NLP-enhanced framework lies beyond this study's scope, the research provides valuable insights into the viability and potential components of such a solution. The findings suggest strong industry support for NLP implementation in freelance TA, with particular emphasis on bias mitigation, efficiency improvement, and skill matching accuracy. This study establishes a foundation for future research and development of NLP-enhanced recruitment tools specifically tailored to SMEs operating in the freelance economy.
    2025-11-13Master thesis Open access Show more