The impact of big data analytics on firms’ high value business performance
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.1007/s10796-016-9720-4 |
Resumo: | Popovič, A., Hackney, R., Tassabehji, R., & Castelli, M. (2018). The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 20(2), 209-222. https://doi.org/10.1007/s10796-016-9720-4 |
id |
RCAP_1c9aa68dbbbae766be0f7cbb52fb1a7a |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/85246 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
The impact of big data analytics on firms’ high value business performanceBig data analyticsBusiness valueCase analysisOperations performanceTheoretical Computer ScienceSoftwareInformation SystemsComputer Networks and CommunicationsPopovič, A., Hackney, R., Tassabehji, R., & Castelli, M. (2018). The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 20(2), 209-222. https://doi.org/10.1007/s10796-016-9720-4Big Data Analytics (BDA) is an emerging phenomenon with the reported potential to transform how firms manage and enhance high value businesses performance. The purpose of our study is to investigate the impact of BDA on operations management in the manufacturing sector, which is an acknowledged infrequently researched context. Using an interpretive qualitative approach, this empirical study leverages a comparative case study of three manufacturing companies with varying levels of BDA usage (experimental, moderate and heavy). The information technology (IT) business value literature and a resource based view informed the development of our research propositions and the conceptual framework that illuminated the relationships between BDA capability and organizational readiness and design. Our findings indicate that BDA capability (in terms of data sourcing, access, integration, and delivery, analytical capabilities, and people’s expertise) along with organizational readiness and design factors (such as BDA strategy, top management support, financial resources, and employee engagement) facilitated better utilization of BDA in manufacturing decision making, and thus enhanced high value business performance. Our results also highlight important managerial implications related to the impact of BDA on empowerment of employees, and how BDA can be integrated into organizations to augment rather than replace management capabilities. Our research will be of benefit to academics and practitioners in further aiding our understanding of BDA utilization in transforming operations and production management. It adds to the body of limited empirically based knowledge by highlighting the real business value resulting from applying BDA in manufacturing firms and thus encouraging beneficial economic societal changes.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNPopovič, AlešHackney, RayTassabehji, RanaCastelli, Mauro2019-10-23T22:26:35Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttps://doi.org/10.1007/s10796-016-9720-4eng1387-3326PURE: 3236645http://www.scopus.com/inward/record.url?scp=84992743798&partnerID=8YFLogxKhttps://doi.org/10.1007/s10796-016-9720-4info: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:RCAAP2024-03-11T04:38:20Zoai:run.unl.pt:10362/85246Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:36:35.852482Repositório 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 |
The impact of big data analytics on firms’ high value business performance |
title |
The impact of big data analytics on firms’ high value business performance |
spellingShingle |
The impact of big data analytics on firms’ high value business performance Popovič, Aleš Big data analytics Business value Case analysis Operations performance Theoretical Computer Science Software Information Systems Computer Networks and Communications |
title_short |
The impact of big data analytics on firms’ high value business performance |
title_full |
The impact of big data analytics on firms’ high value business performance |
title_fullStr |
The impact of big data analytics on firms’ high value business performance |
title_full_unstemmed |
The impact of big data analytics on firms’ high value business performance |
title_sort |
The impact of big data analytics on firms’ high value business performance |
author |
Popovič, Aleš |
author_facet |
Popovič, Aleš Hackney, Ray Tassabehji, Rana Castelli, Mauro |
author_role |
author |
author2 |
Hackney, Ray Tassabehji, Rana Castelli, Mauro |
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 |
Popovič, Aleš Hackney, Ray Tassabehji, Rana Castelli, Mauro |
dc.subject.por.fl_str_mv |
Big data analytics Business value Case analysis Operations performance Theoretical Computer Science Software Information Systems Computer Networks and Communications |
topic |
Big data analytics Business value Case analysis Operations performance Theoretical Computer Science Software Information Systems Computer Networks and Communications |
description |
Popovič, A., Hackney, R., Tassabehji, R., & Castelli, M. (2018). The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 20(2), 209-222. https://doi.org/10.1007/s10796-016-9720-4 |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2019-10-23T22:26:35Z |
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 |
https://doi.org/10.1007/s10796-016-9720-4 |
url |
https://doi.org/10.1007/s10796-016-9720-4 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1387-3326 PURE: 3236645 http://www.scopus.com/inward/record.url?scp=84992743798&partnerID=8YFLogxK https://doi.org/10.1007/s10796-016-9720-4 |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137983945768960 |