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Understanding current research on the use and impact of big data analytics: a systematic literature review

  • Yanqing Duan
    ,
  • Ram Ramanathan
    ,
  • Guangming Cao
    ,
  • Nasrullah Khilji
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Open access

Abstract

With the increasing applications of Big Data Analytics, it is imperative for researchers to keep abreast with the rapid development and emerging research challenges in this field. Therefore, the research reported in this work in progress paper aims to update our knowledge and understanding of the state of the art research on the applications of Big Data Analytics by conducting a comprehensive and systematic review of the recent publications. The literature review is mainly focusing on the emerging new concepts and definitions, theories, research models, research methodologies, critical success factors, and impact on business performance. It is expected that the insights gained through this comprehensive review will contribute to our knowledge on the current status of Big Data Analytics research and associated emerging research challenges and opportunities. Due to the increased interests in Big Data Analytics, the critical analysis of emerging literature will identify the research gaps that provides valuable direction for future studies.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 185-188

Publication milestones

  • Published - 31/12/2018

Publication status

Published - 31/12/2018

Publisher

IADIS

ISBN (Print)

9789898533807

External Publication IDs

  • handle.net: 10547/624448
  • Scopus: 85054176778

Host publication title

MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2018, Theory and Practice in Modern Computing 2018 and Connected Sma

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