Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/26287

TítuloSuccess evaluation factors in construction project management : some evidence from medium and large portuguese companies
Autor(es)Ribeiro, Pedro Miguel Gonzalez de Abreu
Paiva, Anabela
Varajão, João
Dominguez, Caroline
Palavras-chaveConstruction industry
Success factors
Project management
Portuguese companies
Manager profile
Data2013
EditoraSpringer
RevistaKsce Journal of Civil Engineering
Resumo(s)The construction industry plays a very important role in the Portuguese economy. In 2009, it was among the top five economic sectors, representing 13% of total employment. Nevertheless, project failures are still frequent mainly due to inadequate management practices and to the intrinsic characteristics of projects of the construction industry. Even though Portuguese construction has improved in recent years, cost and schedule overruns, low productivity and final product quality problems are still common. In this context, project management is a crucial tool for improving construction operations and for the overall success of projects. The aim of this article is to contribute to the discussion on success evaluation factors in a field where little has been written – the construction industry. Through a survey of 40 medium and large Portuguese companies several factors were identified which are currently considered in the evaluation of project success, as found in the literature review. The results show that the traditional factors, often referred to as the “Atkinson elements triangle” (cost, time and quality), are still the most relevant for evaluating the success of a project, but others, such as customer involvement and acceptance, have gained importance in recent years.
TipoArtigo
URIhttps://hdl.handle.net/1822/26287
DOI10.1007/s12205-013-0019-4
ISSN1226-7988
Versão da editorahttp://link.springer.com/article/10.1007/s12205-013-0019-4
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:DSI - Engenharia e Gestão de Sistemas de Informação

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