Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2017
Abstract
With the advent of big data, organizations are integrating powerful computing tools into their organizational processes to drive efficiencies and improve service delivery. Yet, at the heart of this conversation lies the role of analytics and big data in innovation within and across organizations. In this article, we provide a stylistic model of the role of analytics in innovation and call for further research on the underlying processes, contingencies, and outcomes.
Keywords
analytics, big data, innovation, typology
Discipline
Management Information Systems | Strategic Management Policy | Technology and Innovation
Research Areas
Strategy and Organisation
Publication
Innovation: Management, Policy and Practice
Volume
19
Issue
1
First Page
16
Last Page
22
ISSN
1447-9338
Identifier
10.1080/14479338.2016.1252042
Publisher
Taylor & Francis (Routledge): SSH Titles
Citation
GEORGE, Gerard and LIN, Yimin.
Analytics, innovation, and organizational adaptation. (2017). Innovation: Management, Policy and Practice. 19, (1), 16-22.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/5043
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1080/14479338.2016.1252042
Included in
Management Information Systems Commons, Strategic Management Policy Commons, Technology and Innovation Commons