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RETOS. Revista de Ciencias de la Administración y Economía

On-line version ISSN 1390-8618Print version ISSN 1390-6291

Abstract

ABELLAN-SEVILLA, Arturo-Julián; ORTIZ-DE-URBINA-CRIADO, Marta  and  MORA-VALENTIN, Eva-María. Human resource analytics for change and happiness management. Retos [online]. 2024, vol.14, n.28, pp.221-236. ISSN 1390-8618.  https://doi.org/10.17163/ret.n28.2024.03.

Nowadays, companies are in a constant process of change, and they need to be flexible and innovative and take care of the well-being of their employees. Events such as the pandemic COVID19 have highlighted the need to consider new perspectives to address Human Resources Management. Human Resource Analytics (HRA) are tools that help to understand and implement better Human Resources policies and strategies. However, many of the literature reviews on HRA only analyse what has been published up to 2021 and, moreover, do not usually consider different time periods for the identification of the issues studied, which would help to better understand the evolution of the issues. Therefore, the aim of this paper is to present a structured and period-based picture of the main Human Resource Analytics themes studied and to propose new themes for future research. The results obtained have been grouped into the following thematic categories: context, internal aspects, tools, applications and effects. From these results, two novel themes have been identified: change management and happiness management. And two theoretical models for the adoption of HRA have been proposed, one on decision-making and one on organisational change. These models can serve as a starting point for future research and have a direct application for decision making in companies.

Keywords : human-resources; analytics; workforce; change; wellbeing; happiness; firm; bibliometrics.

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