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dc.contributor.authorAdrian, Cecilia
dc.contributor.authorAbdullah, Rusli
dc.contributor.authorAtan, Rodziah
dc.contributor.authorJusoh, Yusmadi Yah
dc.date2018-06
dc.date.accessioned2022-01-27T08:13:13Z
dc.date.available2022-01-27T08:13:13Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/12363
dc.description.abstractThe significance of big data advancement has benefited various organizations to leverage the potential insights and capabilities of big data in organizational performance and decision-making. However, the analytics outcome and quality of big data analytics (BDA) implementation has yet to be addressed. Therefore the aims of this paper are to identify and analyze the affecting factors and elements of BDA implementation and to propose a conceptual model for effective decision-making through BDA implementation assessment. The model is developed based on three dimensions such as performing data strategy (organization), collaborative knowledge worker (people) and executing data analytics (technology). The findings of this ongoing study proceeds with designing a proposed conceptual model with the research hypothesis and may provide a better assessment model for effective decision-making in the long run.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 5, nº 1
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/2661es_ES
dc.rightsopenAccesses_ES
dc.subjecte-assessmentes_ES
dc.subjectdecision-leveles_ES
dc.subjectDSSes_ES
dc.subjectbig dataes_ES
dc.subjectdata analysises_ES
dc.subjectIJIMAIes_ES
dc.titleConceptual Model Development of Big Data Analytics Implementation Assessment Effect on Decision-Makinges_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2018.03.001


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