A review of big data adoption towards industry 4.0

The amount of data being collected and stored is expanding rapidly in digital form in term of volume, variety, velocity and veracity and known as big data phenomenon. The use of Internet of Things (IoT) in energy industry in creating a new industrial paradigm creating a comprehensive data capture th...

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Main Authors: Kamarulzaman, Miza Shawani, Hassan, Noor Hafizah, Md. Drus, Sulfeeza, Ismail, Saiful Adli
Format: Article
Language:English
Published: Universiti Teknologi Malaysia 2019
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Online Access:http://eprints.utm.my/id/eprint/88424/1/NoorHafizahHassan2019_AReviewonFactorsforBigDataAdoption.pdf
http://eprints.utm.my/id/eprint/88424/
http://apps.razak.utm.my/ojs/index.php/oiji/article/view/232/193
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spelling my.utm.884242020-12-15T10:53:18Z http://eprints.utm.my/id/eprint/88424/ A review of big data adoption towards industry 4.0 Kamarulzaman, Miza Shawani Hassan, Noor Hafizah Md. Drus, Sulfeeza Ismail, Saiful Adli TD Environmental technology. Sanitary engineering The amount of data being collected and stored is expanding rapidly in digital form in term of volume, variety, velocity and veracity and known as big data phenomenon. The use of Internet of Things (IoT) in energy industry in creating a new industrial paradigm creating a comprehensive data capture through smart energy and smart meter in embarking Industry 4.0. However, organization seems left behind to catch up with the big data adoption and the use of it. Therefore, it is important to identify the issues and hurdles surround in big data adoption in organization especially in energy industry. This study was conducted to investigate factor for big data adoption in energy in facing industry 4.0. A literature review was conducted in identifying the factors and issues surround and a conceptual model was proposed. The factors found from previous literature in big data adoption will be replicated and adopted in energy sector. Findings of this study focused on improving current implementation adoption for organization in understanding organizational perspectives underpinning of Technology Organisation Environment (TOE) framework. Universiti Teknologi Malaysia 2019-12 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/88424/1/NoorHafizahHassan2019_AReviewonFactorsforBigDataAdoption.pdf Kamarulzaman, Miza Shawani and Hassan, Noor Hafizah and Md. Drus, Sulfeeza and Ismail, Saiful Adli (2019) A review of big data adoption towards industry 4.0. Open International Journal of Informatics, 7 (2). pp. 200-207. ISSN 2289-2370 http://apps.razak.utm.my/ojs/index.php/oiji/article/view/232/193
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/
language English
topic TD Environmental technology. Sanitary engineering
spellingShingle TD Environmental technology. Sanitary engineering
Kamarulzaman, Miza Shawani
Hassan, Noor Hafizah
Md. Drus, Sulfeeza
Ismail, Saiful Adli
A review of big data adoption towards industry 4.0
description The amount of data being collected and stored is expanding rapidly in digital form in term of volume, variety, velocity and veracity and known as big data phenomenon. The use of Internet of Things (IoT) in energy industry in creating a new industrial paradigm creating a comprehensive data capture through smart energy and smart meter in embarking Industry 4.0. However, organization seems left behind to catch up with the big data adoption and the use of it. Therefore, it is important to identify the issues and hurdles surround in big data adoption in organization especially in energy industry. This study was conducted to investigate factor for big data adoption in energy in facing industry 4.0. A literature review was conducted in identifying the factors and issues surround and a conceptual model was proposed. The factors found from previous literature in big data adoption will be replicated and adopted in energy sector. Findings of this study focused on improving current implementation adoption for organization in understanding organizational perspectives underpinning of Technology Organisation Environment (TOE) framework.
format Article
author Kamarulzaman, Miza Shawani
Hassan, Noor Hafizah
Md. Drus, Sulfeeza
Ismail, Saiful Adli
author_facet Kamarulzaman, Miza Shawani
Hassan, Noor Hafizah
Md. Drus, Sulfeeza
Ismail, Saiful Adli
author_sort Kamarulzaman, Miza Shawani
title A review of big data adoption towards industry 4.0
title_short A review of big data adoption towards industry 4.0
title_full A review of big data adoption towards industry 4.0
title_fullStr A review of big data adoption towards industry 4.0
title_full_unstemmed A review of big data adoption towards industry 4.0
title_sort review of big data adoption towards industry 4.0
publisher Universiti Teknologi Malaysia
publishDate 2019
url http://eprints.utm.my/id/eprint/88424/1/NoorHafizahHassan2019_AReviewonFactorsforBigDataAdoption.pdf
http://eprints.utm.my/id/eprint/88424/
http://apps.razak.utm.my/ojs/index.php/oiji/article/view/232/193
_version_ 1687393569804910592
score 13.209306