UPM Institutional Repository

Factors influencing to the implementation success of big data analytics: a systematic literature review


Citation

Adrian, Cecilia and Abdullah, Rusli and Atan, Rodziah and Jusoh, Yusmadi Yah (2017) Factors influencing to the implementation success of big data analytics: a systematic literature review. In: 5th International Conference on Research and Innovation in Information Systems (ICRIIS 2017), 16-17 July 2017, Adya Hotel, Langkawi, Kedah. .

Abstract

Big data analytics (BDA) readiness factors have been widely researched; nevertheless, few have investigated the impact and success factors of BDA implementation in the organizational context. The relevance and quality of BDA outcomes have been a significant concern to the organizational leaders in supporting them for strategic decision-making. To that end, the objective of this study is twofold. Firstly, it investigates the factors that influencing the success of BDA implementation for effective decision-making. Secondly, this study adds to the body of knowledge in the information system (IS) domain, especially with its focus on BDA implementation packages. Based on 18 selected papers, this review has established 10 influencing factors that may influence the success of BDA implementation, therefore, contribute to the practice and research of BDA domain and its effectiveness towards the organizational performance enhancement.


Download File

[img]
Preview
Text (Abstract)
Factors influencing to the implementation success of big data analytics a systematic literature review.pdf

Download (35kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/ICRIIS.2017.8002536
Publisher: IEEE
Keywords: Big data analytics; Capabilities; Quality; Big data analytics implementation
Depositing User: Nabilah Mustapa
Date Deposited: 08 Mar 2018 01:47
Last Modified: 08 Mar 2018 01:47
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICRIIS.2017.8002536
URI: http://psasir.upm.edu.my/id/eprint/59515
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item