DATA SCIENCE IN PEOPLE ANALYTICS
a focus on HR 5.0
DOI:
https://doi.org/10.31510/infa.v21i2.2060Keywords:
RH 5.0, Data Science, People Analytics, Data AnalysisAbstract
With technological advancements, the complexity of human resource management and the competitiveness of the job market, it has become crucial to adopt a more strategic approach to understand the immense volume of data generated today and to use it practically within organizations. In this scenario, the use of Data Science (DS), applied in People Analytics, emerges as an essential tool in the context of HR 5.0, which combines advanced technologies with people management. HR 5.0, a concept developed from Industry 5.0, places the human being at the center of decisions, using data analysis to improve both efficiency and employee experience. Therefore, this study aims to explore the concepts mentioned, their relationships and the benefits generated in real companies. The methodology includes bibliographic and documentary research, as well as the analysis of practical case studies that demonstrate how the application of these technologies can generate valuable insights for organizations, making them more competitive, innovative, and efficient. It is expected to contribute to the literature and to companies in the utilization of these concepts.
Downloads
References
CAO, L. Data Science: A Comprehensive Overview. ACM Computing Surveys, 2016. 42 p. Disponível em: https://web.archive.org/web/20170301095821id_/http://www-staff.it.uts.edu.au/~lbcao/publication/dsa-cusr.draft.pdf. Acesso em: 30 ago. 2024.
CURTY, R. G.; SERAFIM, J. da S. A formação em ciência de dados: uma análise preliminar do panorama estadunidense. Informação & Informação, v. 21, n 2, p. 307-328, maio/ago. 2016. Disponível em: https://ojs.uel.br/revistas/uel/index.php/informacao/article/view/27945/20195. Acesso em: 29 ago. 2024. DOI: https://doi.org/10.5433/1981-8920.2016v21n2p307
DAVIM, J. P.; MACHADO, C. Indústria 5.0: pessoas, tecnologia e sustentabilidade. Coimbra: Actual, 2023. Disponível em: https://books.google.com.br/books?hl=pt-BR&lr=&id=_5jfEAAAQBAJ&oi=fnd&pg=PA35&dq=industria+5.0&ots=ZS_OA1eQbt&sig=NNt-7kWAq7RY5PYJ4eeL33hL9kQ&redir_esc=y#v=onepage&q=industria%205.0&f=false. Acesso em: 25 ago. 2024.
ESCOVEDO, T.; KOSHIYAMA, A. Introdução a Data Science: Algoritmos de Machine Learning e métodos de análise. São Paulo: Casa do Código, 2020. 288 p. Disponível em: https://github.com/KAYOKG/BibliotecaDev/blob/main/LivrosDev/Introdu%C3%A7%C3%A3o%20a%20data%20science%20-%20Algoritmos%20de%20machine%20learning%20e%20m%C3%A9todos%20de%20an%C3%A1lise%20-%20Autor%20(Casa%20do%20C%C3%B3digo).pdf. Acesso em: 17 ago. 2024.
FACTORIAL. RH 5.0: o que é e como preparar sua empresa para essa tendência. 2023. Disponível em: https://factorialhr.com.br/blog/rh-5-0/. Acesso em: 24 ago. 2024.
GARVIN, D. A. How Google sold its engineers on management. 2013. Disponível em: https://hbr.org/2013/12/how-google-sold-its-engineers-onmanagement. Acesso em: 23 set. 2024.
GERHARDT, T. E; SILVEIRA, D. T. Métodos de pesquisa. 1. ed. Porto Alegre: UFRGS, 2009. 120 p. Disponível em: https://www.ufrgs.br/cursopgdr/downloadsSerie/derad005.pdf. Acesso em: 14 set. 2024.
GIL, A. C. Como elaborar projetos de pesquisa. 4. ed. São Paulo: Atlas, 2007. Disponível em: https://files.cercomp.ufg.br/weby/up/150/o/Anexo_C1_como_elaborar_projeto_de_pesquisa_-_antonio_carlos_gil.pdf. Acesso em: 14 set. 2024.
GRUS, J. Data Science do Zero. Rio de Janeiro: Alta Books, 2016. 336 p. Disponível em: https://edisciplinas.usp.br/pluginfile.php/5742167/mod_resource/content/1/Data%20Science%20do%20zero%20-%20Primeiras%20regras.pdf. Acesso em: 22 set. 2024.
GUIMARÃES, D. C.; CRUZ, C. M. B. da; MIRANDA, D. P. S. L. de; RUSSO, S. L. Produção científica sobre a Sociedade 5.0. In: 10th International Symposium on Technological Innovation, v. 10, n 1, p. 82-91. 2019. Disponível em: https://scholar.google.com/scholar?hl=pt-BR&as_sdt=0%2C5&q=Produ%C3%A7%C3%A3o+cient%C3%ADfica+sobre+a+Sociedade+5.0&btnG=. 2019. Acesso em: 22 set. 2024.
ISSON, J. P.; HARRIOTT, J. S. People Analytics in the Era of Big Data: changing the way you attract, acquire, develop, and retain talent. New Jersey: John Wiley & Sons Inc., 2016. Disponível em: https://www.academia.edu/31261295/People_Analytics_In_The_ERA_of_Big. Acesso em: 7 set. 2024. DOI: https://doi.org/10.1002/9781119083856
JUICHAROEN, N.; WANGTHONG, S.; SUKSANCHANANUN, W. Recruitment and Selection Evolution to the Human Resource 5.0 Era. Asian Journal of Management, Entrepreneurship and Social Science, v. 3, p. 36-50, fev. 2023. Disponível em: http://ajmesc.com/index.php/ajmesc/article/view/286/146. Acesso em: 23 ago. 2024.
MATHUR, P. How J&J Uses People Analytics to Drive Business Outcomes. Entrevista cedida a David Green. My HR Future, mar. 2020. Disponível em: https://www.myhrfuture.com/digital-hr-leaders-podcast/2020/3/10/how-johnson-and-johnson-uses-people-analytics-to-drive-business-outcomes. Acesso em: 19 set. 2024.
MINDSIGHT. Conceito de People Analytics: origem e os tipos. 2020. Disponível em: https://mindsight.com.br/conceito-de-people-analytics/. Acesso em: 7 set. 2024.
SCHWAB, Klaus. A quarta revolução industrial. São Paulo: Edipro, 2019. Disponível em: https://books.google.com.br/books?hl=pt-BR&lr=&id=XZSWDwAAQBAJ&oi=fnd&pg=PT161&dq=4+revolu%C3%A7%C3%A3o+industrial&ots=Ya8e3pNDbc&sig=Npr3fESus5FDAxrr78taQtXRowc&redir_esc=y#v=onepage&q=4%20revolu%C3%A7%C3%A3o%20industrial&f=false. Acesso em: 21 ago. 2024.
SHRIVASTAVA, S.; NAGDEV, K.; RAJESH, A. Redefining HR using people analytics: the case of Google. Human Resource Management International Digest, v. 26, n 2, p. 3-6, mar. 2018. Disponível em: https://www.researchgate.net/publication/323936892_Redefining_HR_using_people_analytics_the_case_of_Google. Acesso em: 14 ago. 2024 DOI: https://doi.org/10.1108/HRMID-06-2017-0112
SILVA, A. L. I. F. da; OLIVA, E. de C.; KUBO, E. K. de M. Análise Bibliométrica da Produção Científica Internacional sobre People Analytics. São Paulo: FSRJ, 2019. p. 362–390. Disponível em: https://future.emnuvens.com.br/FSRJ/article/view/467/449. Acesso em: 8 set. 2024. DOI: https://doi.org/10.24023/FutureJournal/2175-5825/2019.v11i3.467
TRAN, S. K. Google: A reflection of culture, leader, and management. International Journal of Corporate Social Responsibility, v. 2, n 10, 2017. Disponível em: https://link.springer.com/article/10.1186/s40991-017-0021-0. Acesso em: 21 set. 2024. DOI: https://doi.org/10.1186/s40991-017-0021-0
WEST, M. People Analytics para Leigos. Rio de Janeiro: Alta Books, 2020. Disponível em: https://altabooks.com.br/wp-content/uploads/2021/07/AMOSTRA_PeopleAnalyticsFD.pdf. Acesso em: 21 set. 2024.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Revista Interface Tecnológica
This work is licensed under a Creative Commons Attribution 4.0 International License.
Os direitos autorais dos artigos publicados pertencem à revista Interface Tecnológica e seguem o padrão Creative Commons (CC BY 4.0), que permite o remixe, adaptação e criação de obras derivadas do original, mesmo para fins comerciais. As novas obras devem conter menção ao(s) autor(es) nos créditos.
.jpg)
1.png)
1.png)
