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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: May 2, 2017
http://explore.tandfonline.com/pages/cfp/ujet-cfp-analytics-2q2017
Advanced analytics – from big data, to machine learning, to cognitive computing -- is poised to and, in many cases, already is transforming enterprises in fundamental ways. Analytics is both an enabler and driver of enterprise transformation. The objective of this special issue is twofold – (i) to publish rigorous and innovative research on the role that analytics plays in enabling enterprises to transform by adopting these capabilities at scale in the digital era, and (ii) to gauge the pace of adoption of advanced analytics (e.g. big data, machine learning, cognitive computing etc.) to the above end.
We welcome papers that explore how analytics, in all its forms, is being adopted to transform processes across functions or entire organizations. Analytics can take many forms including data visualization, descriptive analysis, predictive alerts/ recommendations, dashboards, machine learning algorithms, cognitive computing etc. Analytics can occur at many levels of an organization from the boardroom to the shop floor. Of particular interest are not the specific applications or technical solutions but rather the adoption of these capabilities across the organization to transform decision making processes at scale, while the organizations themselves are being disrupted in the digital era. We encourage submissions that draw from diverse theoretical backgrounds such as engineering, computer science, decision science, creative visual design, organizational design and behavioral economics. We are open to a wide set of methodological approaches including empirical research, case-based research, field studies, behavioral decision making experiments, among others. We encourage collaboration between academia and industry and welcome diverse submissions by both industry and geography.
Some prospective topics include:
Value of Analytics
The Data Economy
Adoption of Advanced Analytics
Decision Science
Organization Design
Submission Instructions
For further information regarding this special issue, please email the Special Issue Editors:
Editorial information
http://explore.tandfonline.com/pages/cfp/ujet-cfp-analytics-2q2017