Is Big Data for everyone? The challenges of Big Data adoption in SMEs

Shah, Satya ORCID: 0000-0001-5575-7682, Bardon Soriano, Christine and Coutroubis, Alec (2018) Is Big Data for everyone? The challenges of Big Data adoption in SMEs. 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE. ISBN 978-1-5386-0948-4

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Official URL: https://ieeexplore.ieee.org/document/8290002

Abstract

The aim of this paper is to present an investigative study on the concept of Big Data and its challenges towards implementation in manufacturing SMEs. Big Data aims to facilitate the collaborative approach in SMEs through the creation of real time data visualisation to address key challenges to many of the market variations for every sector SMEs. Although, earlier research studies have highlighted the importance of Big Data from technological perspectives, this study focuses towards SMEs due to its feasibility and flexibility within the market space. This research aims to investigate the use of case study approach for the re-use, adoption and understanding of strategic future direction from the findings. The findings and early analysis from this paper could be referred by researchers when addressing the use of big data analytics within manufacturing SMEs. Finally, the paper provides a key strategic point towards the exploration of Big Data within SMEs

Item Type: Book Section
Additional Information: Paper given at and published in the proceedings of 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, 10-13 Dec. 2017
Subjects: H Social Sciences > H Social Sciences (General)
T Technology > T Technology (General)
Divisions: Business, Accountancy and Law > Business Management
Institute of Management
Institute of Management > Bolton Business School
Depositing User: Professor S.R. Shah
Date Deposited: 17 Oct 2019 14:00
Last Modified: 17 Oct 2019 14:00
Identification Number: 10.1109/IEEM.2017.8290002
URI: http://ubir.bolton.ac.uk/id/eprint/2548

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