Enablers and Mechanisms: Practices for Achieving Synergy with Business Analytics

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dc.contributor.authorAsadi Someh, Ida
dc.contributor.authorWixom, Barbara
dc.contributor.authorDavern, Michael
dc.contributor.authorShanks, Graeme
dc.date.accessioned2016-12-29T01:59:43Z
dc.date.available2016-12-29T01:59:43Z
dc.date.issued2017-01-04
dc.description.abstractBusiness Analytics (BA) systems use advanced statistical and computational techniques to analyze organizational data and enable informed and insightful decision-making. BA systems interact with other organizational systems and if their relationship is synergistic, together they create higher-order BA-enabled organizational systems, which have the potential to create value and gain competitive advantage. In this paper, we focus on the enablers and mechanisms of synergy between BA and other organizational systems and identify a set of organizational practices that underlie the emergence of BA-enabled organizational systems. We use a case study involving a large IT firm to identify the organizational practices associated with synergistic relationships that lead to the emergence of higher-order BA-enabled organizational systems.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2017.649
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/10125/41811
dc.language.isoeng
dc.relation.ispartofProceedings of the 50th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBusiness Analytics
dc.subjectBusiness Value
dc.subjectSynergy
dc.subjectSystems Theory
dc.titleEnablers and Mechanisms: Practices for Achieving Synergy with Business Analytics
dc.typeConference Paper
dc.type.dcmiText

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