Unlocking the drivers of big data analytics value in firms

Detalhes bibliográficos
Autor(a) principal: Côrte-Real, Nadine
Data de Publicação: 2019
Outros Autores: Ruivo, Pedro, Oliveira, Tiago, Popovič, Aleš
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/151426
Resumo: Côrte-Real, N., Ruivo, P., Oliveira, T., & Popovič, A. (2019). Unlocking the drivers of big data analytics value in firms. Journal of Business Research, 97(April), 160-173. DOI: 10.1016/j.jbusres.2018.12.072
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spelling Unlocking the drivers of big data analytics value in firmsBig data analytics (BDA)Competitive advantageDelphi methodIT business valueMixed methodologyMarketingSDG 8 - Decent Work and Economic GrowthCôrte-Real, N., Ruivo, P., Oliveira, T., & Popovič, A. (2019). Unlocking the drivers of big data analytics value in firms. Journal of Business Research, 97(April), 160-173. DOI: 10.1016/j.jbusres.2018.12.072Although big data analytics (BDA) is considered the next “frontier” in data science by creating potential business opportunities, the way to extract those opportunities is unclear. This paper aims to understand the antecedents of BDA value at a firm level. The authors performed a study using a mixed methodology approach. First, by carrying out a Delphi study to explore and rank the antecedents affecting the creation of BDA value. Based on the Delphi results, we propose an empirically validated model supported by a survey conducted on 175 European firms to explain the antecedents of BDA sustained value. The results show that the proposed model explains 62% of BDA sustained value at the firm level, where the most critical contributor is BDA use. We provide directions for managers to support their decisions on BDA strategy definition and refinement. For academics, we extend BDA value literature and outline some potential research opportunities.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCôrte-Real, NadineRuivo, PedroOliveira, TiagoPopovič, Aleš2023-04-01T00:31:32Z2019-04-012019-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttp://hdl.handle.net/10362/151426eng0148-2963PURE: 11323868https://doi.org/10.1016/j.jbusres.2018.12.072info: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:RCAAP2024-03-11T05:33:53Zoai:run.unl.pt:10362/151426Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:35.303560Repositório 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 Unlocking the drivers of big data analytics value in firms
title Unlocking the drivers of big data analytics value in firms
spellingShingle Unlocking the drivers of big data analytics value in firms
Côrte-Real, Nadine
Big data analytics (BDA)
Competitive advantage
Delphi method
IT business value
Mixed methodology
Marketing
SDG 8 - Decent Work and Economic Growth
title_short Unlocking the drivers of big data analytics value in firms
title_full Unlocking the drivers of big data analytics value in firms
title_fullStr Unlocking the drivers of big data analytics value in firms
title_full_unstemmed Unlocking the drivers of big data analytics value in firms
title_sort Unlocking the drivers of big data analytics value in firms
author Côrte-Real, Nadine
author_facet Côrte-Real, Nadine
Ruivo, Pedro
Oliveira, Tiago
Popovič, Aleš
author_role author
author2 Ruivo, Pedro
Oliveira, Tiago
Popovič, Aleš
author2_role author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Côrte-Real, Nadine
Ruivo, Pedro
Oliveira, Tiago
Popovič, Aleš
dc.subject.por.fl_str_mv Big data analytics (BDA)
Competitive advantage
Delphi method
IT business value
Mixed methodology
Marketing
SDG 8 - Decent Work and Economic Growth
topic Big data analytics (BDA)
Competitive advantage
Delphi method
IT business value
Mixed methodology
Marketing
SDG 8 - Decent Work and Economic Growth
description Côrte-Real, N., Ruivo, P., Oliveira, T., & Popovič, A. (2019). Unlocking the drivers of big data analytics value in firms. Journal of Business Research, 97(April), 160-173. DOI: 10.1016/j.jbusres.2018.12.072
publishDate 2019
dc.date.none.fl_str_mv 2019-04-01
2019-04-01T00:00:00Z
2023-04-01T00:31:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/151426
url http://hdl.handle.net/10362/151426
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0148-2963
PURE: 11323868
https://doi.org/10.1016/j.jbusres.2018.12.072
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 14
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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