A Framework For Boosting Revenue Incorporating Big Data
Keywords
Big Data; Business Management; Information Analysis; Innovation
Abstract
Complex industry partnerships, innovative strategies, and cross-cutting industry competition, challenge business leaders in making strategic and operational decisions that support growth and competitiveness. Companies seeking to inform their business decisions by leveraging “big data” face challenges in processing and analyzing such large and rapid datasets. However leveraging big data can create value for businesses. Although various frameworks exist for implementing analytics, few accommodate the implementation of big data analytics. Our goal is to develop a framework by studying big data on a micro and macro level and examining how companies can use big data to boost revenue through creating value. This research is augmented by an in-depth examination of industry giant Amazon.com. Our results provide a framework that enhances traditional analytical frameworks through the integration of big data analytics. Our findings indicate that an integrated framework provides enhanced insights to decision makers seeking to create value for their businesses.
Publication Date
5-4-2016
Publication Title
Journal of Innovation Management
Volume
4
Issue
1
Number of Pages
39-68
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.24840/2183-0606_004.001_0005
Copyright Status
Unknown
Socpus ID
85044670996 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85044670996
STARS Citation
Segarra, Laura; Almalki, Hamed; Elabd, John; Gonzalez, Jonathan; and Marczewski, Michal, "A Framework For Boosting Revenue Incorporating Big Data" (2016). Scopus Export 2015-2019. 3207.
https://stars.library.ucf.edu/scopus2015/3207