Campo DC | Valor | Idioma |
dc.contributor.author | Cunha, Raissa Damasceno | - |
dc.contributor.author | Serrano, André Luiz Marques | - |
dc.contributor.author | Franco, Vithor Rosa | - |
dc.contributor.author | Guarnieri, Patricia | - |
dc.date.accessioned | 2019-01-24T12:40:10Z | - |
dc.date.available | 2019-01-24T12:40:10Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | CUNHA, Raissa Damasceno et al. Staff sizing as a mechanism of efficiency: an application of a non-parametric method. Cogent Business & Management, n. 5, art. 1463835. DOI: https://doi.org/10.1080/23311975.2018.1463835. Disponível em: https://www.cogentoa.com/article/10.1080/23311975.2018.1463835. Acesso em: 24 jan. 2019. | pt_BR |
dc.identifier.uri | http://repositorio.unb.br/handle/10482/33803 | - |
dc.language.iso | Inglês | pt_BR |
dc.publisher | Cogent oa | pt_BR |
dc.rights | Acesso Aberto | pt_BR |
dc.title | Staff sizing as a mechanism of efficiency : an application of a non-parametric method | pt_BR |
dc.type | Artigo | pt_BR |
dc.subject.keyword | Planejamento de mão-de-obra | pt_BR |
dc.subject.keyword | Análise de envoltória de dados | pt_BR |
dc.subject.keyword | Pequenas e médias empresas | pt_BR |
dc.rights.license | © 2018 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. | pt_BR |
dc.description.abstract1 | The concept of staff sizing aims to estimate or determine the ideal or optimal
number of people needed to perform some organizational activities, which can
be considered as a trend. So, models for staff sizing constitute a fundamental part
of accurately identifying staff allocation. The objective of this paper is to propose a
framework for decision-making based on Data Envelopment Analysis–DEA, to estimate
the staff sizing in a Brazilian entity responsible for promoting and supporting
the competitiveness and sustainable development of micro and small enterprises.
Data collection was carried out in the headquarters of the entity, located in Brasilia.
Firstly, interviews were carried with managers in order to assess qualitatively the
needs of staff for each service unit. Secondly, the documental analysis of reports
from 21 units was analyzed quantitatively in order to determine their efficiency in
terms of staff sizing. The results found through DEA show that only three service
units can be considered efficient in terms of staff sizing. Thus, there is a need to reduce
the number of workers in most of the organization. In this context, the contributions
for the entity lie in the discussion on the creation of quantitative indicators
and the adoption of an efficiency analysis, which can be used to better estimate or
determine the optimal quantity of staff. This paper innovates by proposing a quantitative
and systematized approach to estimate the staff sizing, which is the DEA. | pt_BR |
dc.description.unidade | Faculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE) | pt_BR |
dc.description.unidade | Departamento de Administração (FACE ADM) | pt_BR |
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