Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling

Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling

Abstract The popularity of big data analytics (BDA) has boosted the interest of organisations into exploiting their large scale data. This technology can become a strategic stimulation for organisations to achieve competitive advantage and sustainable growth. Previous BDA research, however, has focu...

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Bibliographic Details
Main Authors: Muslihah Wook, Nor Asiakin Hasbullah, Norulzahrah Mohd Zainudin, Zam Zarina Abdul Jabar, Suzaimah Ramli, Noor Afiza Mat Razali, Nurhafizah Moziyana Mohd Yusop
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:Journal of Big Data
Subjects:
Big data analytics
Big data
Big data traits
Data quality dimensions
Partial least squares structural equation modelling
Survey questionnaire
Online Access:https://doi.org/10.1186/s40537-021-00439-5

Internet

https://doi.org/10.1186/s40537-021-00439-5

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