A performance measure to support decision-making in Agricultural Research Center in Brazil.

The assessment of productive efficiency of a public research institution is of fundamental importance for its administration. A better management of available resources may be accompliched if managers have at their disposal meaningful quantitative measurements of the production process. In this paper we use Multivariate Analysis an Data Envelopment Analysis to define a performance measure for the research centers of the Brazilian Agricultural Research Corporation. Multiple production indicators are reduced to three output variables by means of maximum likelihood factor analysis. Performance is determined on the basis of this output vector and a three dimensional input vector defined by cost components. We impose restrictions on the optimization algorithm to guarantee usage of all output and inputs in the optimal solutions.

Saved in:
Bibliographic Details
Main Authors: SOUZA, G. da S. e, GOMES, E. G.
Other Authors: GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE.
Format: Artigo de periódico biblioteca
Language:English
eng
Published: 2016-02-01
Subjects:Decision-making, Data Envelopment Analysis., Pesquisa agrícola, factor analysis.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035746
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-alice-doc-1035746
record_format koha
spelling dig-alice-doc-10357462017-08-16T03:38:36Z A performance measure to support decision-making in Agricultural Research Center in Brazil. SOUZA, G. da S. e GOMES, E. G. GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE. Decision-making Data Envelopment Analysis. Pesquisa agrícola factor analysis. The assessment of productive efficiency of a public research institution is of fundamental importance for its administration. A better management of available resources may be accompliched if managers have at their disposal meaningful quantitative measurements of the production process. In this paper we use Multivariate Analysis an Data Envelopment Analysis to define a performance measure for the research centers of the Brazilian Agricultural Research Corporation. Multiple production indicators are reduced to three output variables by means of maximum likelihood factor analysis. Performance is determined on the basis of this output vector and a three dimensional input vector defined by cost components. We impose restrictions on the optimization algorithm to guarantee usage of all output and inputs in the optimal solutions. 2016-02-01T11:11:11Z 2016-02-01T11:11:11Z 2016-02-01 2015 2016-02-01T11:11:11Z Artigo de periódico Procedia Computer Science, v. 55, p. 405-414, 2015. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035746 10.1016/j.procs.2015.07.094 en eng openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic Decision-making
Data Envelopment Analysis.
Pesquisa agrícola
factor analysis.
Decision-making
Data Envelopment Analysis.
Pesquisa agrícola
factor analysis.
spellingShingle Decision-making
Data Envelopment Analysis.
Pesquisa agrícola
factor analysis.
Decision-making
Data Envelopment Analysis.
Pesquisa agrícola
factor analysis.
SOUZA, G. da S. e
GOMES, E. G.
A performance measure to support decision-making in Agricultural Research Center in Brazil.
description The assessment of productive efficiency of a public research institution is of fundamental importance for its administration. A better management of available resources may be accompliched if managers have at their disposal meaningful quantitative measurements of the production process. In this paper we use Multivariate Analysis an Data Envelopment Analysis to define a performance measure for the research centers of the Brazilian Agricultural Research Corporation. Multiple production indicators are reduced to three output variables by means of maximum likelihood factor analysis. Performance is determined on the basis of this output vector and a three dimensional input vector defined by cost components. We impose restrictions on the optimization algorithm to guarantee usage of all output and inputs in the optimal solutions.
author2 GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE.
author_facet GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE.
SOUZA, G. da S. e
GOMES, E. G.
format Artigo de periódico
topic_facet Decision-making
Data Envelopment Analysis.
Pesquisa agrícola
factor analysis.
author SOUZA, G. da S. e
GOMES, E. G.
author_sort SOUZA, G. da S. e
title A performance measure to support decision-making in Agricultural Research Center in Brazil.
title_short A performance measure to support decision-making in Agricultural Research Center in Brazil.
title_full A performance measure to support decision-making in Agricultural Research Center in Brazil.
title_fullStr A performance measure to support decision-making in Agricultural Research Center in Brazil.
title_full_unstemmed A performance measure to support decision-making in Agricultural Research Center in Brazil.
title_sort performance measure to support decision-making in agricultural research center in brazil.
publishDate 2016-02-01
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035746
work_keys_str_mv AT souzagdase aperformancemeasuretosupportdecisionmakinginagriculturalresearchcenterinbrazil
AT gomeseg aperformancemeasuretosupportdecisionmakinginagriculturalresearchcenterinbrazil
AT souzagdase performancemeasuretosupportdecisionmakinginagriculturalresearchcenterinbrazil
AT gomeseg performancemeasuretosupportdecisionmakinginagriculturalresearchcenterinbrazil
_version_ 1756021994870013952