Workforce sizing face to large data volume
a theoretical approach
DOI:
https://doi.org/10.21721/p2p.2022v8n2.p121-140Keywords:
Sizing, Framework, Big data, Cientific production, Public SectorAbstract
This research uses bibliometric techniques to identify the main characteristics of the production of scientific articles on Workforce Dimensioning – DFT – and its relationship with big data. With an applied nature, qualitative approach and exploratory character, the study uses a survey of studies on dimensioning and big data, recovering a total of 87 scientific articles published between 1992 to 2020. The objective of this research is to present a support framework for scientific production for the evaluation of the DFT. The main contribution was the systematization of a consolidated theoretical reference of DFT for the composition of a big data environment. The research generated a perspective of continuity by technological means to solve problems of public management and productivity of individual capacity.
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