Universiti Teknologi Malaysia Institutional Repository

Big data analytics adoption model for Malaysian SMEs

Eu, Lay Tien and Mat Ali, Nazmona and Miskon, Suraya and Ahmad, Norasnita and Syed Abdullah, Norris (2020) Big data analytics adoption model for Malaysian SMEs. In: 4th International Conference of Reliable Information and Communication Technology, IRICT 2019, 22 September 2019 - 23 September 2019, Johor Bahru, Malaysia.

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Official URL: http://dx.doi.org/10.1007/978-3-030-33582-3_5


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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:adoption model, big data analytics, Malaysian SMEs
Subjects:H Social Sciences > H Social Sciences (General)
Divisions:International Business School
ID Code:89836
Deposited By: Yanti Mohd Shah
Deposited On:04 Mar 2021 02:46
Last Modified:04 Mar 2021 02:46

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