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Use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10651/41609

Título : Assessing individual performance based on the efficiency of projects
Autor(es) y otros: Díaz Fernández, Belarmino Adenso
Lozano Segura, Sebastián
Gutiérrez, Ester
Calzada-Infante, Laura
García Carbajal, Santiago
Palabras clave: Project efficiency
Teams
Individual performance
Data Envelopment Analysis
Regression analysis
Fecha de publicación : may-2017
Editorial : Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.cie.2017.03.026
Citación : Computers and industrial engineering, 107, p. 280–288 (2017); doi:10.1016/j.cie.2017.03.026
Descripción física: p. 280–288
Resumen : Assessing the performance of each of the team members in any project is a difficult task since in most cases the outcomes mask the individual contributions. In this paper a two-step approach is proposed to estimate the relative performance of the members of the organization who have participated in the different projects carried out. Firstly, a DEA model evaluates the efficiency of the projects, whose results are used later on in a regression model to assess the performance of each individual. The proposed approach is validated using 480 instances identifying the factors that may affect the accuracy of the results. The application to a case study involving a real-world dataset of 46 software development projects carried out by a ten-member team is also presented. The results show that the proposed approach estimates, on average, the unknown true efficiency of the individuals rather well and is robust against data noise.
Fecha fin embargo: 2018-05
URI : http://hdl.handle.net/10651/41609
ISSN : 0360-8352
Aparece en las colecciones: Administración de Empresas
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