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The impact of big data adoption on smes’ performance

2021-12Artigo científico Acesso aberto
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dc.contributor.authorNasrollahi, Mahdi
dc.contributor.authorRamezani, Javaneh
dc.contributor.authorSadraei, Mahmoud
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2022-07-27T22:26:02Z
dc.date.available2022-07-27T22:26:02Z
dc.date.issued2021-12
dc.descriptionThis work was supported by the Portuguese Foundation for Science and Technology (FCT) and the Center of Technology and Systems (CTS).
dc.description.abstractThe notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analyzed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data (BD) components to improve their performance becomes a relevant research area. This issue is becoming more pertinent for small and medium enterprises (SMEs), especially in developing countries that encounter limited resources and infrastructures. Due to the lack of empirical studies related to big data adoption (BDA) and BD’s business value, especially in SMEs, this study investigates the impact of BDA on SMEs’ performance by obtaining the required data from experts. The quantitative investigation followed a mixed approach, including survey data from 224 managers from Iranian SMEs, and a structural equation modeling (SEM) methodology for the data analysis. Results showed that 12 factors affected the BDA in SMEs. BDA can affect both operational performance and economic performance. There has been no support for the influence of BDA and economic performance on social performance. Finally, the study implications and findings are discussed alongside future research suggestions, as well as some limitations and unanswered questions.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent577990
dc.identifier.doi10.3390/bdcc5040068
dc.identifier.issn2504-2289
dc.identifier.otherPURE: 45640783
dc.identifier.otherPURE UUID: 57baac60-750a-4925-b478-9be73adc990b
dc.identifier.otherScopus: 85120173079
dc.identifier.otherWOS: 000743665300001
dc.identifier.urihttp://hdl.handle.net/10362/142518
dc.identifier.urlhttps://www.scopus.com/pages/publications/85120173079
dc.language.isoeng
dc.peerreviewedyes
dc.subjectBig data adoption
dc.subjectIndustry 4.0
dc.subjectOrganizational performance
dc.subjectSMEs
dc.subjectSocial performance
dc.subjectStructural equation modeling
dc.subjectManagement Information Systems
dc.subjectInformation Systems
dc.subjectComputer Science Applications
dc.subjectArtificial Intelligence
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.subjectSDG 9 - Industry, Innovation, and Infrastructure
dc.subjectSDG 17 - Partnerships for the Goals
dc.titleThe impact of big data adoption on smes’ performanceen
dc.typejournal article
degois.publication.issue4
degois.publication.titleBig Data and Cognitive Computing
degois.publication.volume5
dspace.entity.typePublication
rcaap.rightsopenAccess

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