Authors:
Eladio Domínguez
1
;
Beatriz Pérez
2
;
Ángel L. Rubio
2
and
María A. Zapata
1
Affiliations:
1
Dpto. de Informática e Ingeniería de Sistemas, Univ. de Zaragoza, Zaragoza, Spain
;
2
Dpto. de Matemáticas y Computación, Univ. de La Rioja, La Rioja, Spain
Keyword(s):
KPIs, Performance Measurement, Evolution Framework.
Abstract:
Key Performance Indicators (KPIs) are becoming essential elements for measuring business performance. In recent years, KPIs management has been the subject to sustained interests for researchers and practitioners alike, deriving into a large research corpus of approaches addressing aspects in matters as varied as modelling, maintenance or expressiveness of KPIs. In particular, since both businesses and processes have to be adapted to ever-changing requirements, the KPIs that measure their performance must evolve accordingly. However, based on a previous review of the literature, we found that little attention has been paid to the provision of mechanisms to manage KPIs evolution. Our long-term research goal is to provide a fully proposal for supporting KPIs evolution management. In this position paper, we present the first ideas of a conceptual framework for addressing this issue, proposing a pattern-driven KPI evolution specification and a KPI evolution metamodel made up of two inter
connected views. Our proposal is general enough to be applied regardless of the specific KPIs management approach being used.
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