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HR Analytics and the decision-making process: an evidence-based management approach

Scaf, Amanda

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Faculdade de Economia, Administração e Contabilidade 2022-11-10

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  • Título:
    HR Analytics and the decision-making process: an evidence-based management approach
  • Autor: Scaf, Amanda
  • Orientador: Vasconcellos, Liliana
  • Assuntos: Gestão Por Evidências; Hr Analytics; Processo Decisório; Analytics Decision Making Process; Business; Evidence-Based Management
  • Notas: Dissertação (Mestrado)
  • Descrição: HR Analytics (HRA) has gained attention from practitioners and scholars under the promise of providing basis for better decision making. However, the question regarding how HRA can be effectively used to support decisions in organizations remains answered. Although some suggest Evidence-Based Management (EBM) as the theoretical approach through which HRA would effectively contribute to decisions, the idea has not been empirically tested. Therefore, studys objective is to analyze how HRA leads to talent decision making through the EBM approach. Analysis of how HRA leads to decisions were grounded on (a) the structure of decision problems (PS), the stages of the decision-making process (DMP) where HR analytics centers its contributions, (c) the quantitative analytical methods (QAM) employed in data analysis and (c) the interaction among HR Analytics and EBM along the process. Basic qualitative research was employed to assess HR Analytics decision processes performed in organizations located in Brazil. The study relied on 8 semi structured interviews with professionals who have leaded or taken an important part in a HR Analytics decision process. Content and template analysis were employed as data analysis methods. It was found that PS and QAM were not decisive to shed light on how HRA leads to decision-making. The evidence-based management approach seemed relevant to (a) provide evidence needed to the execution of quantitative analysis and (b) to intermediate HRAs inputs to decisions. Results also shed light on the nature and different roles of these inputs.
  • DOI: 10.11606/D.12.2022.tde-23022023-195912
  • Editor: Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Faculdade de Economia, Administração e Contabilidade
  • Data de criação/publicação: 2022-11-10
  • Formato: Adobe PDF
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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