Knowledge-based risk management: Survey on Brazilian software development enterprises
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/978-3-642-36981-0_6 http://hdl.handle.net/11449/75142 |
Resumo: | A risks management, carried on in an effective way, leads the software development to success and may influence on the organization. The knowledge takes part of such a process as a way to help taking decisions. This research aimed to analyze the use of Knowledge Management techniques to the Risk Management in software projects development and the possible influence on the enterprise revenue. It had, as its main studying subject, Brazilian incubated and graduated software developing enterprises. The chosen research method was the Survey type. Multivariate statistical methods were used for the treatment and analysis of the obtained results, this way identifying the most significant factors, that is, enterprise's achievement constraining factors and those outcome achievement ones. Among the latter we highlight the knowledge methodology, the time of existence of the enterprise, the amount of employees and the knowledge externalization. The results encourage contributing actions to the increasing of financial revenue. © 2013 Springer-Verlag. |
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Knowledge-based risk management: Survey on Brazilian software development enterprisesIncubated and Graduated Technological Based EnterprisesKnowledge ManagementRisks ManagementSoftware developmentKnowledge-based risk managementsManagement techniquesMultivariate statistical methodresearch methodsRisks managementSoftware projectIndustryKnowledge based systemsKnowledge managementRisk managementSoftware designSoftware engineeringSurveysEnterprise softwareA risks management, carried on in an effective way, leads the software development to success and may influence on the organization. The knowledge takes part of such a process as a way to help taking decisions. This research aimed to analyze the use of Knowledge Management techniques to the Risk Management in software projects development and the possible influence on the enterprise revenue. It had, as its main studying subject, Brazilian incubated and graduated software developing enterprises. The chosen research method was the Survey type. Multivariate statistical methods were used for the treatment and analysis of the obtained results, this way identifying the most significant factors, that is, enterprise's achievement constraining factors and those outcome achievement ones. Among the latter we highlight the knowledge methodology, the time of existence of the enterprise, the amount of employees and the knowledge externalization. The results encourage contributing actions to the increasing of financial revenue. © 2013 Springer-Verlag.UNIFEI, Federal University of Itajuba, Irmã Ivone Drummond Street, 200 Industrial District, 35903-087, Itabira, Minas Gerais StateUNIFEI, Federal University of Itajuba, BPS Ave. 1303, Pinheirinho, 37500-903, Itajuba, Minas Gerais StateUNESP, Sao Paulo State University, Ariberto Pereira da Cunha Ave. 333, 12516-410, Guaratingueta, Sao Paulo StateUNESP, Sao Paulo State University, Ariberto Pereira da Cunha Ave. 333, 12516-410, Guaratingueta, Sao Paulo StateUniversidade Federal de Itajubá (UNIFEI)Universidade Estadual Paulista (Unesp)Neves, Sandra Miranda [UNESP]Da Silva, Carlos Eduardo SanchesSalomon, Valério Antonio Pamplona [UNESP]Santos, André Leonardo Almeida2014-05-27T11:28:56Z2014-05-27T11:28:56Z2013-04-22info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject55-65http://dx.doi.org/10.1007/978-3-642-36981-0_6Advances in Intelligent Systems and Computing, v. 206 AISC, p. 55-65.2194-5357http://hdl.handle.net/11449/7514210.1007/978-3-642-36981-0_62-s2.0-84876267848Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAdvances in Intelligent Systems and Computinginfo:eu-repo/semantics/openAccess2021-10-23T21:41:23Zoai:repositorio.unesp.br:11449/75142Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:09:16.202685Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Knowledge-based risk management: Survey on Brazilian software development enterprises |
title |
Knowledge-based risk management: Survey on Brazilian software development enterprises |
spellingShingle |
Knowledge-based risk management: Survey on Brazilian software development enterprises Neves, Sandra Miranda [UNESP] Incubated and Graduated Technological Based Enterprises Knowledge Management Risks Management Software development Knowledge-based risk managements Management techniques Multivariate statistical method research methods Risks management Software project Industry Knowledge based systems Knowledge management Risk management Software design Software engineering Surveys Enterprise software |
title_short |
Knowledge-based risk management: Survey on Brazilian software development enterprises |
title_full |
Knowledge-based risk management: Survey on Brazilian software development enterprises |
title_fullStr |
Knowledge-based risk management: Survey on Brazilian software development enterprises |
title_full_unstemmed |
Knowledge-based risk management: Survey on Brazilian software development enterprises |
title_sort |
Knowledge-based risk management: Survey on Brazilian software development enterprises |
author |
Neves, Sandra Miranda [UNESP] |
author_facet |
Neves, Sandra Miranda [UNESP] Da Silva, Carlos Eduardo Sanches Salomon, Valério Antonio Pamplona [UNESP] Santos, André Leonardo Almeida |
author_role |
author |
author2 |
Da Silva, Carlos Eduardo Sanches Salomon, Valério Antonio Pamplona [UNESP] Santos, André Leonardo Almeida |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Itajubá (UNIFEI) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Neves, Sandra Miranda [UNESP] Da Silva, Carlos Eduardo Sanches Salomon, Valério Antonio Pamplona [UNESP] Santos, André Leonardo Almeida |
dc.subject.por.fl_str_mv |
Incubated and Graduated Technological Based Enterprises Knowledge Management Risks Management Software development Knowledge-based risk managements Management techniques Multivariate statistical method research methods Risks management Software project Industry Knowledge based systems Knowledge management Risk management Software design Software engineering Surveys Enterprise software |
topic |
Incubated and Graduated Technological Based Enterprises Knowledge Management Risks Management Software development Knowledge-based risk managements Management techniques Multivariate statistical method research methods Risks management Software project Industry Knowledge based systems Knowledge management Risk management Software design Software engineering Surveys Enterprise software |
description |
A risks management, carried on in an effective way, leads the software development to success and may influence on the organization. The knowledge takes part of such a process as a way to help taking decisions. This research aimed to analyze the use of Knowledge Management techniques to the Risk Management in software projects development and the possible influence on the enterprise revenue. It had, as its main studying subject, Brazilian incubated and graduated software developing enterprises. The chosen research method was the Survey type. Multivariate statistical methods were used for the treatment and analysis of the obtained results, this way identifying the most significant factors, that is, enterprise's achievement constraining factors and those outcome achievement ones. Among the latter we highlight the knowledge methodology, the time of existence of the enterprise, the amount of employees and the knowledge externalization. The results encourage contributing actions to the increasing of financial revenue. © 2013 Springer-Verlag. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-04-22 2014-05-27T11:28:56Z 2014-05-27T11:28:56Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/978-3-642-36981-0_6 Advances in Intelligent Systems and Computing, v. 206 AISC, p. 55-65. 2194-5357 http://hdl.handle.net/11449/75142 10.1007/978-3-642-36981-0_6 2-s2.0-84876267848 |
url |
http://dx.doi.org/10.1007/978-3-642-36981-0_6 http://hdl.handle.net/11449/75142 |
identifier_str_mv |
Advances in Intelligent Systems and Computing, v. 206 AISC, p. 55-65. 2194-5357 10.1007/978-3-642-36981-0_6 2-s2.0-84876267848 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Advances in Intelligent Systems and Computing |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
55-65 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808129590010314752 |