Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41811

Enablers and Mechanisms: Practices for Achieving Synergy with Business Analytics

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Title: Enablers and Mechanisms: Practices for Achieving Synergy with Business Analytics
Authors: Asadi Someh, Ida
Wixom, Barbara
Davern, Michael
Shanks, Graeme
Keywords: Business Analytics
Business Value
Synergy
Systems Theory
Issue Date: 04 Jan 2017
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.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41811
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.649
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Organizational Issues of Business Intelligence, Business Analytics and Big Data Minitrack



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