Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysis

Detalhes bibliográficos
Autor(a) principal: Bernardino, Maria Francisca Silva Carvalho
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/29413
Resumo: The aim of this thesis is to investigate the challenges and opportunities associated with the implementation of big data in small and medium-sized enterprises. The main findings of this study, based on a bibliometric analysis using Elsevier Scopus as a search engine and Vos viewer to analyze the results, demonstrates that big data analytics enables SMEs to improve financial performance and operational efficiency, become more innovative and able to make more informed decisions. Thus, enabling SMEs to achieve stable growth and gain competitiveness in the market. This study results from the synthesis of existing literature, which provides useful information and practical recommendations for SMEs, policy makers and researchers. The results help to understand the decisive factors of big data adoption in SMEs and paves the way for future research in this area.
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spelling Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysisBig dataPME Pequenas e Médias Empresas -- SME Small and Medium EnterprisesBibliometria -- BibliometricsDesempenho organizacional -- Organizational performanceThe aim of this thesis is to investigate the challenges and opportunities associated with the implementation of big data in small and medium-sized enterprises. The main findings of this study, based on a bibliometric analysis using Elsevier Scopus as a search engine and Vos viewer to analyze the results, demonstrates that big data analytics enables SMEs to improve financial performance and operational efficiency, become more innovative and able to make more informed decisions. Thus, enabling SMEs to achieve stable growth and gain competitiveness in the market. This study results from the synthesis of existing literature, which provides useful information and practical recommendations for SMEs, policy makers and researchers. The results help to understand the decisive factors of big data adoption in SMEs and paves the way for future research in this area.O objetivo desta tese é investigar os desafios e as oportunidades associados à implementação de big data nas pequenas e médias empresas. As principais conclusões deste estudo, baseadas numa análise bibliométrica, que utiliza o Elsevier Scopus como motor de pesquisa e o Vos viewer para analisar os resultados, demonstram que o big data analytics permite às PMEs melhorar o desempenho financeiro e a eficiência operacional, tornar-se mais inovadoras e capazes de tomar decisões mais informadas. Capacitando assim as PMEs de alcançar um crescimento estável e ganhar competitividade no mercado. Este estudo resulta da síntese da literatura existente, que fornece informações úteis e recomendações práticas para as PMEs, os decisores políticos e os investigadores. Os resultados ajudam a compreender os fatores decisivos da adoção de big data nas PMEs e prepara o caminho para futuras pesquisas nesta área.2023-10-11T09:06:18Z2023-07-26T00:00:00Z2023-07-262023-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/29413TID:203360680engBernardino, Maria Francisca Silva Carvalhoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:31:01Zoai:repositorio.iscte-iul.pt:10071/29413Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:13:56.140366Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysis
title Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysis
spellingShingle Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysis
Bernardino, Maria Francisca Silva Carvalho
Big data
PME Pequenas e Médias Empresas -- SME Small and Medium Enterprises
Bibliometria -- Bibliometrics
Desempenho organizacional -- Organizational performance
title_short Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysis
title_full Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysis
title_fullStr Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysis
title_full_unstemmed Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysis
title_sort Exploring the challenges and opportunities of big data in SMEs: A bibliometric analysis
author Bernardino, Maria Francisca Silva Carvalho
author_facet Bernardino, Maria Francisca Silva Carvalho
author_role author
dc.contributor.author.fl_str_mv Bernardino, Maria Francisca Silva Carvalho
dc.subject.por.fl_str_mv Big data
PME Pequenas e Médias Empresas -- SME Small and Medium Enterprises
Bibliometria -- Bibliometrics
Desempenho organizacional -- Organizational performance
topic Big data
PME Pequenas e Médias Empresas -- SME Small and Medium Enterprises
Bibliometria -- Bibliometrics
Desempenho organizacional -- Organizational performance
description The aim of this thesis is to investigate the challenges and opportunities associated with the implementation of big data in small and medium-sized enterprises. The main findings of this study, based on a bibliometric analysis using Elsevier Scopus as a search engine and Vos viewer to analyze the results, demonstrates that big data analytics enables SMEs to improve financial performance and operational efficiency, become more innovative and able to make more informed decisions. Thus, enabling SMEs to achieve stable growth and gain competitiveness in the market. This study results from the synthesis of existing literature, which provides useful information and practical recommendations for SMEs, policy makers and researchers. The results help to understand the decisive factors of big data adoption in SMEs and paves the way for future research in this area.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-11T09:06:18Z
2023-07-26T00:00:00Z
2023-07-26
2023-06
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/29413
TID:203360680
url http://hdl.handle.net/10071/29413
identifier_str_mv TID:203360680
dc.language.iso.fl_str_mv eng
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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instacron:RCAAP
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