Enablers and Mechanisms: Practices for Achieving Synergy with Business Analytics

dc.contributor.author Asadi Someh, Ida
dc.contributor.author Wixom, Barbara
dc.contributor.author Davern, Michael
dc.contributor.author Shanks, Graeme
dc.date.accessioned 2016-12-29T01:59:43Z
dc.date.available 2016-12-29T01:59:43Z
dc.date.issued 2017-01-04
dc.description.abstract Business 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.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.649
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41811
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Business Analytics
dc.subject Business Value
dc.subject Synergy
dc.subject Systems Theory
dc.title Enablers and Mechanisms: Practices for Achieving Synergy with Business Analytics
dc.type Conference Paper
dc.type.dcmi Text
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