Paper Info
Title
A bibliographic study on big data: concepts, trends and challenges.
Abstract
Purpose - The purpose of this paper is twofold. First, it provides a consolidated overview of the existing literature on "big data" and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field. Design/methodology/approach - To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals. Findings - The findings reveal that the number of articles devoted to the study of "big data" has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data. Research limitations/implications - This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research. Originality/value - To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.
Year
DOI
Venue
2017
10.1108/BPMJ-10-2015-0149
BUSINESS PROCESS MANAGEMENT JOURNAL
Keywords
Field
DocType
Big data,Citation and co-citation analysis
Data science,Computer science,Citation,Knowledge management,Originality,Analytics,Big data
Journal
Volume
Issue
ISSN
23.0
SP3.0
1463-7154
Citations 
PageRank 
References 
4
0.38
25
Authors
5
Name
Order
Citations
PageRank
Deepa Mishra1311.92
Zongwei Luo2163.26
Shan Jiang3268.84
Thanos Papadopoulos419717.90
Rameshwar Dubey5889.74