An Approach to Value Creation in Open Data for Small and Medium-Sized Enterprises using R Ecosystem
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/166038 |
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. |
id |
UNSP_04671565b806bb2913133990e601e8f4 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/166038 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
An Approach to Value Creation in Open Data for Small and Medium-Sized Enterprises using R EcosystemAnalyticsOpen DataR LanguageSmall and Medium EnterprisesBig DataWith 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.Sao Paulo State Univ UNESP, Sch Sci, Comp Dept, Bauru, SP, BrazilSao Paulo State Univ UNESP, Sch Sci, Comp Dept, Bauru, SP, BrazilIeeeUniversidade Estadual Paulista (Unesp)Albino, Joao Pedro [UNESP]IEEE2018-11-29T09:28:10Z2018-11-29T09:28:10Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject346-3512017 Computing Conference. New York: Ieee, p. 346-351, 2017.http://hdl.handle.net/11449/166038WOS:000426944400044Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2017 Computing Conferenceinfo:eu-repo/semantics/openAccess2024-04-23T16:11:27Zoai:repositorio.unesp.br:11449/166038Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:26:21.314828Repositório 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 Open Data R Language Small and Medium Enterprises Big Data |
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] IEEE |
author_role |
author |
author2 |
IEEE |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Albino, Joao Pedro [UNESP] IEEE |
dc.subject.por.fl_str_mv |
Analytics Open Data R Language Small and Medium Enterprises Big Data |
topic |
Analytics Open Data R Language Small and Medium Enterprises Big Data |
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 |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 2018-11-29T09:28:10Z 2018-11-29T09:28:10Z |
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 |
2017 Computing Conference. New York: Ieee, p. 346-351, 2017. http://hdl.handle.net/11449/166038 WOS:000426944400044 |
identifier_str_mv |
2017 Computing Conference. New York: Ieee, p. 346-351, 2017. WOS:000426944400044 |
url |
http://hdl.handle.net/11449/166038 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2017 Computing Conference |
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.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science 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 |
|
_version_ |
1808129202259492864 |