An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem

Detalhes bibliográficos
Autor(a) principal: Albino, Joao Pedro [UNESP]
Data de Publicação: 2018
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/SAI.2017.8252125
http://hdl.handle.net/11449/179824
Resumo: With the technologies proliferation for Internet, such as cloud computing, mobile devices, social media and the internet of things, small and medium enterprises, despite their smaller size, less revenue and small number of employees cannot operate with less information. There are many opportunities for these organizations however, additional tools are needed to generate potential value from these data. When dealing with value creation it is essential identify the main beneficiaries from value being created. The research's objective, still in development, is to create applications using open technology for information treatment and display to make them more explicit creating value in such open data. To validate the principal research's theoretical concept, this paper conducted a proof of concept with open data from a federal government agency that supports and finances investments in small and medium enterprises. The results proved to be possible to develop predictions about the possible investment expenditures for next year in each sector.
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spelling An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystemAnalyticsBig DataOpen DataR LanguageSmall and Medium EnterprisesWith the technologies proliferation for Internet, such as cloud computing, mobile devices, social media and the internet of things, small and medium enterprises, despite their smaller size, less revenue and small number of employees cannot operate with less information. There are many opportunities for these organizations however, additional tools are needed to generate potential value from these data. When dealing with value creation it is essential identify the main beneficiaries from value being created. The research's objective, still in development, is to create applications using open technology for information treatment and display to make them more explicit creating value in such open data. To validate the principal research's theoretical concept, this paper conducted a proof of concept with open data from a federal government agency that supports and finances investments in small and medium enterprises. The results proved to be possible to develop predictions about the possible investment expenditures for next year in each sector.School of Science Computing Department São Paulo State University-UNESPSchool of Science Computing Department São Paulo State University-UNESPUniversidade Estadual Paulista (Unesp)Albino, Joao Pedro [UNESP]2018-12-11T17:36:55Z2018-12-11T17:36:55Z2018-01-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject346-351http://dx.doi.org/10.1109/SAI.2017.8252125Proceedings of Computing Conference 2017, v. 2018-January, p. 346-351.http://hdl.handle.net/11449/17982410.1109/SAI.2017.82521252-s2.0-85046161086Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of Computing Conference 2017info:eu-repo/semantics/openAccess2024-04-23T16:11:19Zoai:repositorio.unesp.br:11449/179824Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-05-23T12:56:40.123542Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem
title An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem
spellingShingle An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem
Albino, Joao Pedro [UNESP]
Analytics
Big Data
Open Data
R Language
Small and Medium Enterprises
title_short An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem
title_full An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem
title_fullStr An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem
title_full_unstemmed An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem
title_sort An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem
author Albino, Joao Pedro [UNESP]
author_facet Albino, Joao Pedro [UNESP]
author_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Albino, Joao Pedro [UNESP]
dc.subject.por.fl_str_mv Analytics
Big Data
Open Data
R Language
Small and Medium Enterprises
topic Analytics
Big Data
Open Data
R Language
Small and Medium Enterprises
description With the technologies proliferation for Internet, such as cloud computing, mobile devices, social media and the internet of things, small and medium enterprises, despite their smaller size, less revenue and small number of employees cannot operate with less information. There are many opportunities for these organizations however, additional tools are needed to generate potential value from these data. When dealing with value creation it is essential identify the main beneficiaries from value being created. The research's objective, still in development, is to create applications using open technology for information treatment and display to make them more explicit creating value in such open data. To validate the principal research's theoretical concept, this paper conducted a proof of concept with open data from a federal government agency that supports and finances investments in small and medium enterprises. The results proved to be possible to develop predictions about the possible investment expenditures for next year in each sector.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T17:36:55Z
2018-12-11T17:36:55Z
2018-01-08
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/10.1109/SAI.2017.8252125
Proceedings of Computing Conference 2017, v. 2018-January, p. 346-351.
http://hdl.handle.net/11449/179824
10.1109/SAI.2017.8252125
2-s2.0-85046161086
url http://dx.doi.org/10.1109/SAI.2017.8252125
http://hdl.handle.net/11449/179824
identifier_str_mv Proceedings of Computing Conference 2017, v. 2018-January, p. 346-351.
10.1109/SAI.2017.8252125
2-s2.0-85046161086
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of Computing Conference 2017
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 346-351
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)
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