2026-06-01T15:11:21Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/245242026-02-03T11:02:59Zcom_10630_2254col_10630_37953
Bibliometric Analysis of International Scientific Production on the Management of Happiness and Well-Being in Organizations
Núñez-Sánchez, José Manuel
Jambrino-Maldonado, Carmen
Rando-Cueto, Dolores
Iglesias-Sánchez, Patricia Pilar
De-las-Heras-Pedrosa, Carlos
Felicidad
Bienestar social
Conducta en las organizaciones
Empresas-Gestión
Bibliometría
Calidad de vida en el trabajo
The interest of the scientific community and, consequently, the scientific production of
topics on happiness and well-being at work, or the management of happiness in organizations, has
been increasing over the years. The main objective of this bibliometric analysis is to determine
the evolution of the concepts referred to in published scientific works. Bibliometric methods and
techniques are used to analyze the themes and the most relevant trends, the number of papers and
their citations, and the main institutions, and to highlight areas where the most research has been
done on these issues. In addition to the review of the scientific literature, 312 studies are analyzed
and net-mapped. The most outstanding results are the increase in the number of papers and citations
during the health pandemic caused by COVID-19; the importance given to the transversality of wellbeing programs in corporations; and the greater frequency of research on the benefits of promoting
the improvement of quality of life for work performance and its social impact.
2022-06-30T09:52:56Z
2022-06-30T09:52:56Z
2022-06-24
journal article
Jambrino-Maldonado, Carmen, Dolores Rando-Cueto, José Manuel Núñez-Sánchez, Patricias P. Iglesias-Sanchez, and Carlos De las Heras-Pedrosa. 2022. Bibliometric Analysis of International Scientific Production on the Management of Happiness and Well-Being in Organizations. Social Sciences 11: 272. https://doi.org/10.3390/ socsci11070272
https://hdl.handle.net/10630/24524
https://doi.org/10.3390/socsci11070272
eng
open access
MDPI