Published June 14, 2024 | Version v1
Conference paper Open

Big Data Analytics Implementation Risks Conceptual Model

  • 1. ROR icon Tshwane University of Technology
  • 2. ROR icon North-West University

Contributors

  • 1. ROR icon University of Applied Sciences and Arts Northwestern Switzerland
  • 2. ROR icon University of Pretoria

Description

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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