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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Big Data Analytics Implementation Risks Conceptual Model

Authors: Evidence Hutang, Tshegofatso; Motjolopane, Ignitia;

Big Data Analytics Implementation Risks Conceptual Model

Abstract

Small and Medium Enterprises in South Africa may need to adopt emerging technologies such as big data analytics to enhance growth strategies, ena-bling employment, creation, and meaningful contributions to economic development. This study aims to investigate big data analytics risk management factors and develop a model for managing implementation risk in small and medium enterprises. A con-ceptual model for managing big data analytics implementation risks in Small and Medium Enterprises is proposed based on a literature review on big data analytics implementation risks. The proposed conceptual model may provide new insights into supporting SMEs' big data analytics implementation. The overall practical contribu-tion of this study is to assist SMEs with the big data analytics implementation risks model. Literature shows that research has been conducted on big data analytics im-plementation risks in SMEs.

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Keywords

big data analytics risk factors, SMEs, Big data analytics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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