TY - GEN
T1 - Understanding current research on the use and impact of big data analytics
T2 - 3rd International Conference on Big Data Analytics, Data Mining and Computational Intelligence 2018, the 7th International Conference on Theory and Practice in Modern Computing 2018 and of the 4th International Conference on Connected Smart Cities 2018, part of the 2018 Multi Conference on Computer Science and Information Systems, MCCSIS 2018
AU - Duan, Yanqing
AU - Ramanathan, Ram
AU - Cao, Guangming
AU - Khilji, Nasrallah
N1 - Publisher Copyright:
© 2018 CURRAN-CONFERENCE. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Adoption of Big Data Analytics
KW - Analytics
KW - Big Data
KW - Big Data Impact
KW - Big Data Technologies
KW - Systematic Literature Review
UR - https://www.scopus.com/pages/publications/85054176778
M3 - Conference contribution
AN - SCOPUS:85054176778
SN - 9789898533807
T3 - 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 Smart Cities 2018
SP - 185
EP - 188
BT - 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 Smart Cities 2018
A2 - Abraham, Ajith P.
A2 - Roth, Jorg
A2 - Rodrigues, Luis
A2 - Peng, Guo Chao
PB - IADIS
Y2 - 17 July 2018 through 20 July 2018
ER -