Optimization of Organizational Performance through the Development and Management of Human Talent

Authors

  • Fernández Solís Carla Lorena
  • Héctor Lautaro a crespo Caicedo
  • Xochitl Tamez Martínez
  • Wilmer Coaquira Coaquira

DOI:

https://doi.org/10.59670/ml.v20iS2.5104

Abstract

A documentary review was carried out on the production and publication of research papers related to the study of the variable Organizational Performance and Human Talent Management. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2017-2022, achieving the identification of 151 publications. The information provided by this platform was organized through graphs and figures, categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors on the proposed topic is referenced through a qualitative analysis. Among the main findings made through this research, it is found that the United States, with 26 publications, was the country with the highest scientific production registered in the name of authors affiliated with institutions in that nation. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of the variables Organizational Performance and Human Talent Management was Business, Administration and Accounting with 73 published documents, and the most used Publication Type during the period indicated above were Journal Articles with 67% of the total scientific production.

Metrics

Metrics Loading ...

Downloads

Published

2023-07-28 — Updated on 2023-07-28

How to Cite

Lorena, F. S. C., Caicedo, H. L. a crespo ., Martínez, X. T. ., & Coaquira, W. C. . (2023). Optimization of Organizational Performance through the Development and Management of Human Talent . Migration Letters, 20(S2), 1144–1153. https://doi.org/10.59670/ml.v20iS2.5104

Issue

Section

Articles