Paper Info
Title
Influencing models and determinants in big data analytics research: A bibliometric analysis
Abstract
•The article scrutinizes influencing models and determinants in 229 big data studies.•Big data adoption research (BDAD) is broadly dispersed across different domains.•The models emphasize mainly on variance-based relationships and snapshot prediction with little consensus.•The analysis highlights vibrant determinants of BDAD within each model and level of analysis.•Insights of this bibliometric study could guide rigorous big data research and practice in various contexts.
Year
DOI
Venue
2020
10.1016/j.ipm.2020.102234
Information Processing & Management
Keywords
DocType
Volume
Big data analytics,Technology adoption,Literature review,Bibliometric analysis,Theoretical models,Adoption frameworks
Journal
57
Issue
ISSN
Citations 
4
0306-4573
1
PageRank 
References 
Authors
0.38
0
2
Name
Order
Citations
PageRank
Mohamed Gamal Aboelmaged1182.33
Samar Mouakket2928.51