Big data analytics adoption model for Malaysian SMEs
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 rela...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/89836/ http://dx.doi.org/10.1007/978-3-030-33582-3_5 |
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| Summary: | 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. |
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