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: Eu, Lay Tien, Mat Ali, Nazmona, Miskon, Suraya, Ahmad, Norasnita, Syed Abdullah, Norris
Format: Conference or Workshop Item
Published: 2020
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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id my.utm.89836
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spelling my.utm.898362021-03-04T02:46:12Z http://eprints.utm.my/id/eprint/89836/ Big data analytics adoption model for Malaysian SMEs Eu, Lay Tien Mat Ali, Nazmona Miskon, Suraya Ahmad, Norasnita Syed Abdullah, Norris H Social Sciences (General) 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. 2020-11 Conference or Workshop Item PeerReviewed 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. http://dx.doi.org/10.1007/978-3-030-33582-3_5
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Eu, Lay Tien
Mat Ali, Nazmona
Miskon, Suraya
Ahmad, Norasnita
Syed Abdullah, Norris
Big data analytics adoption model for Malaysian SMEs
description 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.
format Conference or Workshop Item
author Eu, Lay Tien
Mat Ali, Nazmona
Miskon, Suraya
Ahmad, Norasnita
Syed Abdullah, Norris
author_facet Eu, Lay Tien
Mat Ali, Nazmona
Miskon, Suraya
Ahmad, Norasnita
Syed Abdullah, Norris
author_sort Eu, Lay Tien
title Big data analytics adoption model for Malaysian SMEs
title_short Big data analytics adoption model for Malaysian SMEs
title_full Big data analytics adoption model for Malaysian SMEs
title_fullStr Big data analytics adoption model for Malaysian SMEs
title_full_unstemmed Big data analytics adoption model for Malaysian SMEs
title_sort big data analytics adoption model for malaysian smes
publishDate 2020
url http://eprints.utm.my/id/eprint/89836/
http://dx.doi.org/10.1007/978-3-030-33582-3_5
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score 13.211869