Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Information Systems and Technology Management (Online) |
Texto Completo: | https://www.revistas.usp.br/jistem/article/view/138238 |
Resumo: | : Business Intelligence (BI) and SMEs are two distinctive research domains but greater interaction between these two entities can offer the effective learn from each other. This interaction has been consider in conducting the changing environment. This interaction does only strengthen individual insights of BI and SMEs, it contributes to the business environmental performance. Although research on BI and SMEs is vast to date, limited focus was given on learning aspect between BI and SMEs. Therefore, this study is aimed to analyse literature and explore an integrated view of literature analysed on how BI and SMEs learn from each other and contributes to the business environmental performance. A qualitative content analysis was conducted for the procedure, which considers 43 articles for data source. Findings of the literature review suggest enhancing capability of SMEs and new innovation of BI, which may affect each other. Findings of this study may become useful for further research in terms of BI implementation success. |
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Analysis of Interaction between Business Intelligence and SMEs: Learn from Each OtherBusiness intelligenceSMEschange adaptationcapabilitydecision makinginteractive relationand learning: Business Intelligence (BI) and SMEs are two distinctive research domains but greater interaction between these two entities can offer the effective learn from each other. This interaction has been consider in conducting the changing environment. This interaction does only strengthen individual insights of BI and SMEs, it contributes to the business environmental performance. Although research on BI and SMEs is vast to date, limited focus was given on learning aspect between BI and SMEs. Therefore, this study is aimed to analyse literature and explore an integrated view of literature analysed on how BI and SMEs learn from each other and contributes to the business environmental performance. A qualitative content analysis was conducted for the procedure, which considers 43 articles for data source. Findings of the literature review suggest enhancing capability of SMEs and new innovation of BI, which may affect each other. Findings of this study may become useful for further research in terms of BI implementation success.TECSI - FEA - Universidade de São Paulo. Faculdade de Economia, Administração, Contabilidade e Atuária2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/xmlhttps://www.revistas.usp.br/jistem/article/view/13823810.4301/s1807-17752017000200002Journal of Information Systems and Technology Management; v. 14 n. 2 (2017); 151-168Journal of Information Systems and Technology Management; Vol. 14 No. 2 (2017); 151-168Journal of Information Systems and Technology Management; Vol. 14 Núm. 2 (2017); 151-1681807-1775reponame:Journal of Information Systems and Technology Management (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/jistem/article/view/138238/133684https://www.revistas.usp.br/jistem/article/view/138238/148046Copyright (c) 2018 JISTEM - Journal of Information Systems and Technology Management (Online)info:eu-repo/semantics/openAccessAli, ShahebMiah, Shah J.Khan, Shahadat2017-09-22T12:55:30Zoai:revistas.usp.br:article/138238Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=1807-1775&lng=pt&nrm=isoPUBhttps://old.scielo.br/oai/scielo-oai.php||jistem@usp.br1807-17751807-1775opendoar:2017-09-22T12:55:30Journal of Information Systems and Technology Management (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other |
title |
Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other |
spellingShingle |
Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other Ali, Shaheb Business intelligence SMEs change adaptation capability decision making interactive relation and learning |
title_short |
Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other |
title_full |
Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other |
title_fullStr |
Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other |
title_full_unstemmed |
Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other |
title_sort |
Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other |
author |
Ali, Shaheb |
author_facet |
Ali, Shaheb Miah, Shah J. Khan, Shahadat |
author_role |
author |
author2 |
Miah, Shah J. Khan, Shahadat |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ali, Shaheb Miah, Shah J. Khan, Shahadat |
dc.subject.por.fl_str_mv |
Business intelligence SMEs change adaptation capability decision making interactive relation and learning |
topic |
Business intelligence SMEs change adaptation capability decision making interactive relation and learning |
description |
: Business Intelligence (BI) and SMEs are two distinctive research domains but greater interaction between these two entities can offer the effective learn from each other. This interaction has been consider in conducting the changing environment. This interaction does only strengthen individual insights of BI and SMEs, it contributes to the business environmental performance. Although research on BI and SMEs is vast to date, limited focus was given on learning aspect between BI and SMEs. Therefore, this study is aimed to analyse literature and explore an integrated view of literature analysed on how BI and SMEs learn from each other and contributes to the business environmental performance. A qualitative content analysis was conducted for the procedure, which considers 43 articles for data source. Findings of the literature review suggest enhancing capability of SMEs and new innovation of BI, which may affect each other. Findings of this study may become useful for further research in terms of BI implementation success. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/jistem/article/view/138238 10.4301/s1807-17752017000200002 |
url |
https://www.revistas.usp.br/jistem/article/view/138238 |
identifier_str_mv |
10.4301/s1807-17752017000200002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/jistem/article/view/138238/133684 https://www.revistas.usp.br/jistem/article/view/138238/148046 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 JISTEM - Journal of Information Systems and Technology Management (Online) info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 JISTEM - Journal of Information Systems and Technology Management (Online) |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/xml |
dc.publisher.none.fl_str_mv |
TECSI - FEA - Universidade de São Paulo. Faculdade de Economia, Administração, Contabilidade e Atuária |
publisher.none.fl_str_mv |
TECSI - FEA - Universidade de São Paulo. Faculdade de Economia, Administração, Contabilidade e Atuária |
dc.source.none.fl_str_mv |
Journal of Information Systems and Technology Management; v. 14 n. 2 (2017); 151-168 Journal of Information Systems and Technology Management; Vol. 14 No. 2 (2017); 151-168 Journal of Information Systems and Technology Management; Vol. 14 Núm. 2 (2017); 151-168 1807-1775 reponame:Journal of Information Systems and Technology Management (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Journal of Information Systems and Technology Management (Online) |
collection |
Journal of Information Systems and Technology Management (Online) |
repository.name.fl_str_mv |
Journal of Information Systems and Technology Management (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||jistem@usp.br |
_version_ |
1809284037170167808 |