Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/245117 
Year of Publication: 
2021
Citation: 
[Journal:] Cogent Business & Management [ISSN:] 2331-1975 [Volume:] 8 [Issue:] 1 [Publisher:] Taylor & Francis [Place:] Abingdon [Year:] 2021 [Pages:] 1-8
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
This study aims to review the challenges of implementing big data analytics by Small and Medium Enterprises (SMES) in Malaysia. There is a lack of literature studies examining the relationship between Lessig's four modalities and the challenges of big data analytics adoption. This study assesses the implementation of Lessig's Four Modalities for the adoption of big data analytics in Malaysia SMEs based on literature review findings. To identify the challenges of applying big data analytics in Malaysian SMEs, a comprehensive literature search was conducted using databases, journals, Google Scholar, and IEEE publications. This research provides practical insights into the challenges of dealing with big data in SMEs. It is envisioned that Lessig's four modalities proposed in this study, namely legal, architecture, social, and market factors, can be applied by Malaysian SMEs to adopt big data analytics.
Subjects: 
Big data analytics
challenges
Lessig&#x2019
s Four Modalities
legal
architecture
social
market
SMEs
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.