%0 Conference Proceedings
%T Reasoning with Key Performance Indicators
%+ University of Toronto
%+ School of Electrical Engineering and Computer Science, Univ. of Ottawa (EECS, Ottawa)
%A Barone, Daniele
%A Jiang, Lei
%A Amyot, Daniel
%A Mylopoulos, John
%Z Part 3: Business Modeling
%< avec comité de lecture
%( Lecture Notes in Business Information Processing
%B 4th Practice of Enterprise Modeling (PoEM)
%C Oslo, Norway
%Y Paul Johannesson
%Y John Krogstie
%Y Andreas L. Opdahl
%I Springer
%3 The Practice of Enterprise Modeling
%V LNBIP-092
%P 82-96
%8 2011-11-02
%D 2011
%R 10.1007/978-3-642-24849-8_7
%K Business intelligence
%K Business model
%K Conceptual modeling languages
%K Key performance indicators
%K Strategic planning
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Business organizations continuously monitor their environments, looking out for opportunities and threats that may help/hinder the fulfilment of their objectives. We are interested in strategic business models that support such governance activities. In this paper, we focus on the concept of composite indicator and show how it can be used as basic building block for strategic business models that support evaluation and decision-making. The main results of this paper include techniques and algorithms for deriving values for composite indicators, when the relationship between a composite indicator and its component indicators cannot be fully described using well-defined mathematical functions. Evaluation of our proposal includes an implemented Eclipse-based prototype tool supporting these techniques and two ongoing case studies.
%G English
%Z TC 8
%Z WG 8.1
%2 https://inria.hal.science/hal-01572391/document
%2 https://inria.hal.science/hal-01572391/file/978-3-642-24849-8_7_Chapter.pdf
%L hal-01572391
%U https://inria.hal.science/hal-01572391
%~ SHS
%~ IFIP
%~ IFIP-TC
%~ IFIP-LNBIP
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-WG8-1
%~ IFIP-POEM
%~ IFIP-LNBIP-092