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L'évaluation du succès des Systèmes d'Information : Focus sur le modèle Delone et Mclean

Authors: MOUSTAKIM, Omar; TAQI, Ahmed;

L'évaluation du succès des Systèmes d'Information : Focus sur le modèle Delone et Mclean

Abstract

L’évaluation du succès des systèmes d’informations constitue un enjeu majeur au sein de la communauté scientifique spécialisée dans cette thématique. Plusieurs chercheurs ont essayé de chercher des réponses à des questions d’optimisation et de réussite des ERP (Entreprise Resources Planning), de concevoir le meilleur outil de mesure des impacts quantitatifs et qualitatifs de ces systèmes sur l’organisation. Delone et Mclean sont deux auteurs de référence de l’évaluation du succès des systèmes d’information. Ils ont proposé un modèle d’évaluation du succès des SI (D&M). Leur modèle a connu un succès fulgurant depuis 1992 ce qui a suscité notre intérêt afin de l’étudier en détail. Pour y arriver nous avons analysé les différentes références scientifiques traitant ce modèle afin de tracer son évolution puis présenter ses dimensions, ses limites et enfin ses développements. Après l’analyse de la littérature, nous avons constaté que malgré les critiques et les limites formulées envers le modèle D&M, il reste un modèle très puissant et empiriquement testé dans différents contextes. Il s’agit, donc, d’un outil solide pour mesurer le succès des systèmes d’information.

Keywords

Delone&McLean, évaluation du succès des Systèmes d'Information , ERP, Impact des Systèmes d'information, Delone&McLean, évaluation du succès des Systèmes d'Information , ERP, Impact des Systèmes d'information

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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18
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