A systemic analysis of cost overruns in project sales companies
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Sistemas & Gestão |
Texto Completo: | https://www.revistasg.uff.br/sg/article/view/1561 |
Resumo: | Factors that influence the risk of cost overruns in project execution attract the attention of many researchers. However, each study available in the literature focuses its efforts on understanding some factors assessed as relevant in the context of the problem of that study and usually without considering the interactions between factors. This consideration gap can lead to inaccurate conclusions about the potential damage caused by problems that occur throughout the project life cycle, undermining assertiveness in the decision making process and potentially posing additional risk to project performance. The aim of this study is to identify and integrate, in a systemic way, the factors and their causal relationships that influence the risk of execution cost overruns in companies based on project sales. For this, a systematic literature review (SLR) was performed, and the relationships between the identified factors were integrated into a causal diagram through a systemic approach. The results obtained may contribute to a better understanding of the complex system that involves the cost overruns phenomenon and support a more assertive decision making process. In the end, some limitations and possibilities of study sequence are presented as, for example, the development of a cost overruns risk prediction system, based on Artificial Neural Networks (ANN). |
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A systemic analysis of cost overruns in project sales companiesUma análise sistêmica do extracusto em empresas baseadas na venda de projetosProject managementCost OverrunsCausal relationsSystematic literature reviewArtificial neural networks.Gerenciamento de projetosExtracustoRelações causaisRevisão sistemática da literaturaRedes neurais artificiais.Factors that influence the risk of cost overruns in project execution attract the attention of many researchers. However, each study available in the literature focuses its efforts on understanding some factors assessed as relevant in the context of the problem of that study and usually without considering the interactions between factors. This consideration gap can lead to inaccurate conclusions about the potential damage caused by problems that occur throughout the project life cycle, undermining assertiveness in the decision making process and potentially posing additional risk to project performance. The aim of this study is to identify and integrate, in a systemic way, the factors and their causal relationships that influence the risk of execution cost overruns in companies based on project sales. For this, a systematic literature review (SLR) was performed, and the relationships between the identified factors were integrated into a causal diagram through a systemic approach. The results obtained may contribute to a better understanding of the complex system that involves the cost overruns phenomenon and support a more assertive decision making process. In the end, some limitations and possibilities of study sequence are presented as, for example, the development of a cost overruns risk prediction system, based on Artificial Neural Networks (ANN).Fatores que influenciam no risco de extracusto na execução de projetos atraem a atenção de muitos pesquisadores. Porém, cada estudo disponível na literatura foca seus esforços no entendimento de alguns fatores avaliados como relevantes no contexto do problema daquele estudo e, normalmente, sem considerar as interações entre fatores. Esta lacuna de consideração pode levar a conclusões imprecisas sobre os potenciais danos causados pelos problemas que ocorrem ao longo do ciclo de vida do projeto, prejudicando a assertividade no processo de tomada de decisão e representando potencial risco adicional à performance do projeto. O objetivo deste estudo é identificar e integrar, de forma sistêmica, os fatores e respectivas relações causais que influenciam no risco de extracusto de execução em empresas baseadas na venda de projetos. Para tal, realizou-se uma revisão sistemática da literatura (RSL), e as relações entre os fatores identificados foram integradas em um diagrama causal, por meio de uma abordagem sistêmica. Os resultados obtidos podem contribuir para melhor compreensão do complexo sistema que envolve o fenômeno do extracusto e suportar um processo de tomada de decisão mais assertivo. Ao final, apresentam-se algumas limitações e possibilidades de sequência de estudos, por exemplo, o desenvolvimento de um sistema de predição de risco de extracusto, baseado em Redes Neurais Artificiais (RNA).ABEC2020-01-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionRevisão de Literaturatext/htmltext/htmlapplication/pdfapplication/pdfhttps://www.revistasg.uff.br/sg/article/view/156110.20985/1980-5160.2019.v14n4.1561Sistemas & Gestão; v. 14 n. 4 (2019): DEZEMBRO 2019; 382-3991980-516010.20985/1980-5160.2019.v14n4reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporenghttps://www.revistasg.uff.br/sg/article/view/1561/htmlhttps://www.revistasg.uff.br/sg/article/view/1561/html_1https://www.revistasg.uff.br/sg/article/view/1561/pdfhttps://www.revistasg.uff.br/sg/article/view/1561/pdf_1Copyright (c) 2019 Sistemas & Gestãoinfo:eu-repo/semantics/openAccessGontijo, Iris JonasBraga, José Luis2020-05-29T17:14:42Zoai:ojs.www.revistasg.uff.br:article/1561Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2020-05-29T17:14:42Sistemas & Gestão - Universidade Federal Fluminense (UFF)false |
dc.title.none.fl_str_mv |
A systemic analysis of cost overruns in project sales companies Uma análise sistêmica do extracusto em empresas baseadas na venda de projetos |
title |
A systemic analysis of cost overruns in project sales companies |
spellingShingle |
A systemic analysis of cost overruns in project sales companies Gontijo, Iris Jonas Project management Cost Overruns Causal relations Systematic literature review Artificial neural networks. Gerenciamento de projetos Extracusto Relações causais Revisão sistemática da literatura Redes neurais artificiais. |
title_short |
A systemic analysis of cost overruns in project sales companies |
title_full |
A systemic analysis of cost overruns in project sales companies |
title_fullStr |
A systemic analysis of cost overruns in project sales companies |
title_full_unstemmed |
A systemic analysis of cost overruns in project sales companies |
title_sort |
A systemic analysis of cost overruns in project sales companies |
author |
Gontijo, Iris Jonas |
author_facet |
Gontijo, Iris Jonas Braga, José Luis |
author_role |
author |
author2 |
Braga, José Luis |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Gontijo, Iris Jonas Braga, José Luis |
dc.subject.por.fl_str_mv |
Project management Cost Overruns Causal relations Systematic literature review Artificial neural networks. Gerenciamento de projetos Extracusto Relações causais Revisão sistemática da literatura Redes neurais artificiais. |
topic |
Project management Cost Overruns Causal relations Systematic literature review Artificial neural networks. Gerenciamento de projetos Extracusto Relações causais Revisão sistemática da literatura Redes neurais artificiais. |
description |
Factors that influence the risk of cost overruns in project execution attract the attention of many researchers. However, each study available in the literature focuses its efforts on understanding some factors assessed as relevant in the context of the problem of that study and usually without considering the interactions between factors. This consideration gap can lead to inaccurate conclusions about the potential damage caused by problems that occur throughout the project life cycle, undermining assertiveness in the decision making process and potentially posing additional risk to project performance. The aim of this study is to identify and integrate, in a systemic way, the factors and their causal relationships that influence the risk of execution cost overruns in companies based on project sales. For this, a systematic literature review (SLR) was performed, and the relationships between the identified factors were integrated into a causal diagram through a systemic approach. The results obtained may contribute to a better understanding of the complex system that involves the cost overruns phenomenon and support a more assertive decision making process. In the end, some limitations and possibilities of study sequence are presented as, for example, the development of a cost overruns risk prediction system, based on Artificial Neural Networks (ANN). |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-20 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Revisão de Literatura |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1561 10.20985/1980-5160.2019.v14n4.1561 |
url |
https://www.revistasg.uff.br/sg/article/view/1561 |
identifier_str_mv |
10.20985/1980-5160.2019.v14n4.1561 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://www.revistasg.uff.br/sg/article/view/1561/html https://www.revistasg.uff.br/sg/article/view/1561/html_1 https://www.revistasg.uff.br/sg/article/view/1561/pdf https://www.revistasg.uff.br/sg/article/view/1561/pdf_1 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Sistemas & Gestão info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Sistemas & Gestão |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html text/html application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
ABEC |
publisher.none.fl_str_mv |
ABEC |
dc.source.none.fl_str_mv |
Sistemas & Gestão; v. 14 n. 4 (2019): DEZEMBRO 2019; 382-399 1980-5160 10.20985/1980-5160.2019.v14n4 reponame:Sistemas & Gestão instname:Universidade Federal Fluminense (UFF) instacron:UFF |
instname_str |
Universidade Federal Fluminense (UFF) |
instacron_str |
UFF |
institution |
UFF |
reponame_str |
Sistemas & Gestão |
collection |
Sistemas & Gestão |
repository.name.fl_str_mv |
Sistemas & Gestão - Universidade Federal Fluminense (UFF) |
repository.mail.fl_str_mv |
||sg.revista@gmail.com|| periodicos@proppi.uff.br |
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1798320144962813952 |