A taxonomy for key performance indicators management
Resumen: In recent years, research on Key Performance Indicators (KPIs) management has grown exponentially, giving rise to a multitude of heterogeneous approaches addressing any aspect concerning it. In this paper, we plot the landscape of published works related with KPIs management, organizing and synthesizing them by means of a unified taxonomy that encompasses the aspects considered by other proposals, and it captures the overall characteristics of KPIs. Since most of the literature centers on the definition of KPIs, we mainly focus on such an aspect of KPIs management. Our work is intended to provide remarkable benefits such as enhancing the understanding of KPIs management, or helping users decide about the most suitable solution for their requirements.
Idioma: Inglés
DOI: 10.1016/j.csi.2018.12.001
Año: 2019
Publicado en: COMPUTER STANDARDS & INTERFACES 64 (2019), 24-40
ISSN: 0920-5489

Factor impacto JCR: 2.809 (2019)
Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 25 / 108 = 0.231 (2019) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, HARDWARE & ARCHITECTURE rank: 16 / 53 = 0.302 (2019) - Q2 - T1

Factor impacto SCIMAGO: 0.662 - Hardware and Architecture (Q1) - Law (Q1) - Software (Q2)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/EDU2016-79838-P
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Ciencia Comput.Intelig.Ar (Dpto. Informát.Ingenie.Sistms.)
Exportado de SIDERAL (2023-02-24-14:31:52)


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articulos > articulos-por-area > cc_de_la_computacion_e_inteligencia_artificial



 Notice créée le 2020-01-03, modifiée le 2023-02-24


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