Recruitment recommendations in ecosystems of startups: a systematic review of the literature

• Leonardo Herdy Marinho Universidade Federal do Rio de Janeiro (UFRJ) http://orcid.org/0000-0001-7860-8567
• Mônica Ferreira da Silva Universidade Federal do Rio de Janeiro (UFRJ) https://orcid.org/0000-0003-0951-6612
• Jonice de Oliveira Sampaio Universidade Federal do Rio de Janeiro (UFRJ)

DOI: https://doi.org/10.5753/ersirj.2021.16974

Abstract

Finding professionals who meet the constant openings in startups is a great challenge considering that their disruptive model requires people with increasingly specific knowledge. To find people who meet the requirements, recruiters are increasingly using techniques, templates and tools to support the hiring decision. To recommend hires, you first need to understand the state-of-the-art of research in the area of recruiting recommendations in startup ecosystems. Therefore, we carried out a systematic literature review in which 854 articles were analyzed, which provided us with data on the scientific progress of the investigated area and research focuses.

Keywords: Recommendation, recruitment professional, startup ecosystem

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