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Modelos de estádios de crescimento

Authors: Amaral, Luís; Santos, Maribel Yasmina;

Modelos de estádios de crescimento

Abstract

A adopção e utilização de TI/SI (Tecnologias de Informação/Sistemas de Informação) pelas organizações é um processo evolucionário porque envolve aprendizagem organizacional, devendo por isso seguir um padrão ou conjunto de estádios bem determinados. Esse conjunto de estádios e as características a ele associadas, devem ser utilizadas como modelo para orientar a organização numa correcta utilização das TI/SI e para a orientar na correcta progressão através dos diversos estádios [Amaral 1994]. Os modelos de estádios de crescimento constituem técnicas de diagnóstico utilizadas na determinação da situação das TI/SI de uma organização, representando referenciais valiosos no estabelecimento de recomendações sobre a evolução da sua adopção e utilização. Este artigo descreve modelos de estádios de crescimento que se consideram de particular importância no diagnóstico da situação das TI/SI nas organizações. A estrutura do artigo espelha o caracter descritivo adoptado na sistematização dos conceitos associados a cada um dos modelos. O artigo culmina com uma síntese que enquadra a aplicabilidade e semelhanças existentes entre os modelos apresentados.

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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!
0
Average
Average
Average
Green