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Big Data Analytics Adoption Model for Malaysian SMEs

  • Eu Lay Tien
  • Nazmona Mat AliEmail author
  • Suraya MiskonEmail author
  • Norasnita AhmadEmail author
  • Norris Syed AbdullahEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1073)

Abstract

Big Data Analytics (BDA) was utilized to analyze and examine big data sets. This system is able to analyze enormous data sets which exist in different formats and to extract useful information within the data which may be used to improve business decision-making, predict sales, enhance customer relationships, and ultimately lead to generating increased revenues and profits. Multinational and large companies are starting to adopt BDA to acquire the benefits and advantages from this technology. However, the rate of adoption of BDA by Small and Medium Enterprises (SMEs) is low. There is a need and desire that SMEs should start to adopt BDA in order to stay one step ahead of their rivals, and at the same time, to remain competitive in the market. Hence, this study aims to identify the factors influencing the adoption of BDA in Malaysian SMEs and propose a BDA adoption model for Malaysian SMEs.

Keywords

Big Data Analytics Adoption model Malaysian SMEs 

Notes

Acknowledgement

The authors would like to thank the Ministry of Higher Education (MOHE) and the Universiti Teknologi Malaysia (UTM) for the UTM Transdisciplinary Research Grant (vote number: 07G33) that had supported this research.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Universiti Teknologi MalaysiaJohor BahruMalaysia

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