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An appraisal into the potential application of big data in the construction industry

The volume of data generated by the construction industry has increased exponentially following an intense use of modern technologies. The data explosion thus lead towards the big data phenomenon which is envisioned to revolutionize the construction like never before. Like any other technologies, bi...

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Main Authors: Ismail, Siti Aisyah, Bandi, Shamsulhadi, Maaz, Zafira Nadia
Format: Article
Published: Penerbit UTM Press 2018
Subjects:
NA Architecture
Online Access:http://eprints.utm.my/id/eprint/84697/
http://dx.doi.org/10.11113/ijbes.v5.n2.274
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spelling my.utm.846972020-02-27T04:53:06Z http://eprints.utm.my/id/eprint/84697/ An appraisal into the potential application of big data in the construction industry Ismail, Siti Aisyah Bandi, Shamsulhadi Maaz, Zafira Nadia NA Architecture The volume of data generated by the construction industry has increased exponentially following an intense use of modern technologies. The data explosion thus lead towards the big data phenomenon which is envisioned to revolutionize the construction like never before. Like any other technologies, big data is a disruptive paradigm and inevitably will give impact to the construction industry. As the industry is refocusing towards an improved productivity, the appeal to embrace big data is certain given the value it offers. This certainly will benefit construction akin to the manufacturing and the retail industry alike. Nevertheless, a review of the literature suggested a limited coverage on the potential application of big data in construction as compared to other industries. This limits understanding of its potential, where the industry is seemingly unaware thus could not relate and extract its real value. Hence, this study aims to draw insights on the specific areas of construction big data research. The research objectives include: (1) to analyse the current extent of construction big data research; (2) to map out the orientation of the current construction big data research; and (3) to suggest the current directions of construction big data research. The qualitative method through a desk study approach has been carried out to attain the first two objectives. It involved a structured review process which covered articles from the online databases assisted by the Nvivo software. This resulted in the theoretical orientation which was conceptualized as: (1) project management; (2) safety (3) energy management; (4) decision making design framework and (5) resource management. The theoretical orientation discovered from the review process will form the basis to suggest the prospective directions of research on big data in construction. This exploration is substantial as a precursor to a much deeper study on big data. As big data is set to influence the industry, the finding made would be a catalyst for creating an awareness to support the development of big data for the construction industry. Penerbit UTM Press 2018 Article PeerReviewed Ismail, Siti Aisyah and Bandi, Shamsulhadi and Maaz, Zafira Nadia (2018) An appraisal into the potential application of big data in the construction industry. International Journal of Built Environment and Sustainability, 5 (2). pp. 145-154. ISSN 1511-1369 http://dx.doi.org/10.11113/ijbes.v5.n2.274
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 NA Architecture
spellingShingle NA Architecture
Ismail, Siti Aisyah
Bandi, Shamsulhadi
Maaz, Zafira Nadia
An appraisal into the potential application of big data in the construction industry
description The volume of data generated by the construction industry has increased exponentially following an intense use of modern technologies. The data explosion thus lead towards the big data phenomenon which is envisioned to revolutionize the construction like never before. Like any other technologies, big data is a disruptive paradigm and inevitably will give impact to the construction industry. As the industry is refocusing towards an improved productivity, the appeal to embrace big data is certain given the value it offers. This certainly will benefit construction akin to the manufacturing and the retail industry alike. Nevertheless, a review of the literature suggested a limited coverage on the potential application of big data in construction as compared to other industries. This limits understanding of its potential, where the industry is seemingly unaware thus could not relate and extract its real value. Hence, this study aims to draw insights on the specific areas of construction big data research. The research objectives include: (1) to analyse the current extent of construction big data research; (2) to map out the orientation of the current construction big data research; and (3) to suggest the current directions of construction big data research. The qualitative method through a desk study approach has been carried out to attain the first two objectives. It involved a structured review process which covered articles from the online databases assisted by the Nvivo software. This resulted in the theoretical orientation which was conceptualized as: (1) project management; (2) safety (3) energy management; (4) decision making design framework and (5) resource management. The theoretical orientation discovered from the review process will form the basis to suggest the prospective directions of research on big data in construction. This exploration is substantial as a precursor to a much deeper study on big data. As big data is set to influence the industry, the finding made would be a catalyst for creating an awareness to support the development of big data for the construction industry.
format Article
author Ismail, Siti Aisyah
Bandi, Shamsulhadi
Maaz, Zafira Nadia
author_facet Ismail, Siti Aisyah
Bandi, Shamsulhadi
Maaz, Zafira Nadia
author_sort Ismail, Siti Aisyah
title An appraisal into the potential application of big data in the construction industry
title_short An appraisal into the potential application of big data in the construction industry
title_full An appraisal into the potential application of big data in the construction industry
title_fullStr An appraisal into the potential application of big data in the construction industry
title_full_unstemmed An appraisal into the potential application of big data in the construction industry
title_sort appraisal into the potential application of big data in the construction industry
publisher Penerbit UTM Press
publishDate 2018
url http://eprints.utm.my/id/eprint/84697/
http://dx.doi.org/10.11113/ijbes.v5.n2.274
_version_ 1662754294595584000
score 13.211869

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