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Percorrer por autor "Moscon, Daniela"

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  • Artificial intelligence in the recrutment & selection: innovation and impacts for the human resources management
    Publication . Jatoba, Mariana Namen; Gutierriz, Ives Emídio; Fernandes, Paula Odete; Teixeira, João Paulo; Moscon, Daniela
    The objective of the article was to investigate the use of Artificial Intelligence (AI) in recruitment and selection (R&S) and impacts on Human Resource Management (HRM). The study used a survey of scientific papers and conferences materials indexed to the database of Web of Science and Scopus and published between the period 2000 and 2018. In addition, it was decided to make an opinion survey conducted with professionals and managers on the use of the tool as facilitator of the recruitment and selection process and impacts on HRM, contributing to the strategic positioning of the area within the organizations. Data was collected, through survey questionnaires applied between March and May 2019. A total of 150 questionnaires were collected. A quantitative descriptive analysis was performed to analyse the perception of the professionals about AI in HR, as well as the use of this technology in the automation of processes and contributions when used in R&S processes. Of the 150 respondents, 74% are female, 61% are over 36 years old, 67.3% works in the service sector, and about 49% perform functions in the area of Human Resources. It was also observed that around 63% of respondents' companies have never used AI and about 19% use or have already used AI in the area of customer service. The lack of solid research lines in the subject was verified and it was concluded that the practice is still very embryonic, although the view of the respondents, ones is positive about the benefits that the AI can bring to the recruitment and selection of candidates. It is hoped that the questions pointed out in this essay elicit new theoretical and empirical studies that show the interactions between AI and HR.
    2019Comunicação em conferência Acesso aberto Ver mais
  • Evolution of artificial intelligence research in human resources
    Publication . Jatoba, Mariana Namen; Santos, Juliana Hermsdorf; Gutierriz, Ives Emídio; Moscon, Daniela; Fernandes, Paula Odete; Teixeira, João Paulo
    The objective of the article is to investigate the evolution of the application of Artificial Intelligence (AI) in the area of Human Resources (HR). It presents a panorama of the research that used AI in the area of HR, through the quantitative descriptive analysis of journals and proceedings, registered in the base of the Library of Online Knowledge (B-on), in the period between the years of 2000 and 2018. 32 research publications have been identified that address the application of Artificial Intelligence in the Human Resources area. As a didactic support and aiming to facilitate the understanding of the analysis, the period of the 18 years studied was divided into 3 time periods (First decade, Reduction Period and Period of Growth). The study also raised the distribution of AI application in HR topics and the incidence in each of these themes. As a result, it was concluded that there are few researches on AI applied to Human Resources and a dispersed use behaviour. It is expected that the 9 inferences about the results mentioned in this essay will elicit future studies.
    2019Comunicação em conferência Acesso aberto Ver mais