Building data driven culture for digital competitiveness in construction industry: a theoretical exploration
Despite studies related to big data in construction is growing, most of them have focused more on data application and less on the social element of the big data technology (e.g. data culture). This study aims to explore the key elements of data culture practices, towards providing a deeper insight...
Published in: | INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT |
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Main Authors: | , , , , , , |
Format: | Article; Early Access |
Language: | English |
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TAYLOR & FRANCIS LTD
2024
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Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001179884800001 |
author |
Hashim Muhammad Adib; Che Ibrahim Che Khairil Izam; Jaafar Nur Amni Liyana; Kordi Nurul Elma; Haron Ahmad Tarmizi; Umeokafor Nnedinma |
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Hashim Muhammad Adib; Che Ibrahim Che Khairil Izam; Jaafar Nur Amni Liyana; Kordi Nurul Elma; Haron Ahmad Tarmizi; Umeokafor Nnedinma Building data driven culture for digital competitiveness in construction industry: a theoretical exploration Construction & Building Technology; Engineering; Business & Economics |
author_facet |
Hashim Muhammad Adib; Che Ibrahim Che Khairil Izam; Jaafar Nur Amni Liyana; Kordi Nurul Elma; Haron Ahmad Tarmizi; Umeokafor Nnedinma |
author_sort |
Hashim |
spelling |
Hashim, Muhammad Adib; Che Ibrahim, Che Khairil Izam; Jaafar, Nur Amni Liyana; Kordi, Nurul Elma; Haron, Ahmad Tarmizi; Umeokafor, Nnedinma Building data driven culture for digital competitiveness in construction industry: a theoretical exploration INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT English Article; Early Access Despite studies related to big data in construction is growing, most of them have focused more on data application and less on the social element of the big data technology (e.g. data culture). This study aims to explore the key elements of data culture practices, towards providing a deeper insight into how they could drive digital competitiveness in the industry. A total of 136 papers related to big data in construction published in peer-reviewed journals were reviewed and analysed using the well-established systematic literature review (SLR) methodology. The findings indicate that four key drivers of data: data analytics, data literacy, data democratization and data leadership are critical for an organization's competitiveness in a digital environment. A framework for data driven culture is proposed consisting of five elements: culture of production, culture of use, cultivation of data, datafication and data infrastructure. As cultural shifts are complicated endeavors, exploring the key elements on what it takes to drive the data culture in construction is necessary for the development of an effective digital ecosystem of the organization. This study extends the digital literature in the construction context by providing deeper insights into the conceptualization of data driven culture. TAYLOR & FRANCIS LTD 1562-3599 2331-2327 2024 10.1080/15623599.2024.2322237 Construction & Building Technology; Engineering; Business & Economics WOS:001179884800001 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001179884800001 |
title |
Building data driven culture for digital competitiveness in construction industry: a theoretical exploration |
title_short |
Building data driven culture for digital competitiveness in construction industry: a theoretical exploration |
title_full |
Building data driven culture for digital competitiveness in construction industry: a theoretical exploration |
title_fullStr |
Building data driven culture for digital competitiveness in construction industry: a theoretical exploration |
title_full_unstemmed |
Building data driven culture for digital competitiveness in construction industry: a theoretical exploration |
title_sort |
Building data driven culture for digital competitiveness in construction industry: a theoretical exploration |
container_title |
INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT |
language |
English |
format |
Article; Early Access |
description |
Despite studies related to big data in construction is growing, most of them have focused more on data application and less on the social element of the big data technology (e.g. data culture). This study aims to explore the key elements of data culture practices, towards providing a deeper insight into how they could drive digital competitiveness in the industry. A total of 136 papers related to big data in construction published in peer-reviewed journals were reviewed and analysed using the well-established systematic literature review (SLR) methodology. The findings indicate that four key drivers of data: data analytics, data literacy, data democratization and data leadership are critical for an organization's competitiveness in a digital environment. A framework for data driven culture is proposed consisting of five elements: culture of production, culture of use, cultivation of data, datafication and data infrastructure. As cultural shifts are complicated endeavors, exploring the key elements on what it takes to drive the data culture in construction is necessary for the development of an effective digital ecosystem of the organization. This study extends the digital literature in the construction context by providing deeper insights into the conceptualization of data driven culture. |
publisher |
TAYLOR & FRANCIS LTD |
issn |
1562-3599 2331-2327 |
publishDate |
2024 |
container_volume |
|
container_issue |
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doi_str_mv |
10.1080/15623599.2024.2322237 |
topic |
Construction & Building Technology; Engineering; Business & Economics |
topic_facet |
Construction & Building Technology; Engineering; Business & Economics |
accesstype |
|
id |
WOS:001179884800001 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001179884800001 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1809678795554160640 |