Staff sizing as a mechanism of efficiency: An application of a non-parametric method

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...

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Autores principales:	Raissa Damasceno Cunha, André Luiz Marques Serrano, Vithor Rosa Franco, Patricia Guarnieri
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2018
Materias:	workforce planning workforce sizing data envelopment analysis micro and small companies Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/6d01091ab4724e639fcf44b6a95928d3
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spelling	oai:doaj.org-article:6d01091ab4724e639fcf44b6a95928d32021-12-02T14:07:30ZStaff sizing as a mechanism of efficiency: An application of a non-parametric method2331-197510.1080/23311975.2018.1463835https://doaj.org/article/6d01091ab4724e639fcf44b6a95928d32018-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2018.1463835https://doaj.org/toc/2331-1975The 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.Raissa Damasceno CunhaAndré Luiz Marques SerranoVithor Rosa FrancoPatricia GuarnieriTaylor & Francis Grouparticleworkforce planningworkforce sizingdata envelopment analysismicro and small companiesBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 5, Iss 1 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	workforce planning workforce sizing data envelopment analysis micro and small companies Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	workforce planning workforce sizing data envelopment analysis micro and small companies Business HF5001-6182 Management. Industrial management HD28-70 Raissa Damasceno Cunha André Luiz Marques Serrano Vithor Rosa Franco Patricia Guarnieri Staff sizing as a mechanism of efficiency: An application of a non-parametric method
description	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.
format	article
author	Raissa Damasceno Cunha André Luiz Marques Serrano Vithor Rosa Franco Patricia Guarnieri
author_facet	Raissa Damasceno Cunha André Luiz Marques Serrano Vithor Rosa Franco Patricia Guarnieri
author_sort	Raissa Damasceno Cunha
title	Staff sizing as a mechanism of efficiency: An application of a non-parametric method
title_short	Staff sizing as a mechanism of efficiency: An application of a non-parametric method
title_full	Staff sizing as a mechanism of efficiency: An application of a non-parametric method
title_fullStr	Staff sizing as a mechanism of efficiency: An application of a non-parametric method
title_full_unstemmed	Staff sizing as a mechanism of efficiency: An application of a non-parametric method
title_sort	staff sizing as a mechanism of efficiency: an application of a non-parametric method
publisher	Taylor & Francis Group
publishDate	2018
url	https://doaj.org/article/6d01091ab4724e639fcf44b6a95928d3
work_keys_str_mv	AT raissadamascenocunha staffsizingasamechanismofefficiencyanapplicationofanonparametricmethod AT andreluizmarquesserrano staffsizingasamechanismofefficiencyanapplicationofanonparametricmethod AT vithorrosafranco staffsizingasamechanismofefficiencyanapplicationofanonparametricmethod AT patriciaguarnieri staffsizingasamechanismofefficiencyanapplicationofanonparametricmethod
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Staff sizing as a mechanism of efficiency: An application of a non-parametric method

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