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...

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Published in:International Journal of Construction Management
Main Author: Hashim M.A.; Che Ibrahim C.K.I.; Jaafar N.A.L.; Kordi N.E.; Haron A.T.; Umeokafor N.
Format: Article
Language:English
Published: Taylor and Francis Ltd. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187127463&doi=10.1080%2f15623599.2024.2322237&partnerID=40&md5=e9e4c4ec60038fe214b7cb360383f6ac
id 2-s2.0-85187127463
spelling 2-s2.0-85187127463
Hashim M.A.; Che Ibrahim C.K.I.; Jaafar N.A.L.; Kordi N.E.; Haron A.T.; Umeokafor N.
Building data driven culture for digital competitiveness in construction industry: a theoretical exploration
2024
International Journal of Construction Management


10.1080/15623599.2024.2322237
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187127463&doi=10.1080%2f15623599.2024.2322237&partnerID=40&md5=e9e4c4ec60038fe214b7cb360383f6ac
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. © 2024 Informa UK Limited, trading as Taylor & Francis Group.
Taylor and Francis Ltd.
15623599
English
Article
All Open Access; Green Open Access
author Hashim M.A.; Che Ibrahim C.K.I.; Jaafar N.A.L.; Kordi N.E.; Haron A.T.; Umeokafor N.
spellingShingle Hashim M.A.; Che Ibrahim C.K.I.; Jaafar N.A.L.; Kordi N.E.; Haron A.T.; Umeokafor N.
Building data driven culture for digital competitiveness in construction industry: a theoretical exploration
author_facet Hashim M.A.; Che Ibrahim C.K.I.; Jaafar N.A.L.; Kordi N.E.; Haron A.T.; Umeokafor N.
author_sort Hashim M.A.; Che Ibrahim C.K.I.; Jaafar N.A.L.; Kordi N.E.; Haron A.T.; Umeokafor N.
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
publishDate 2024
container_title International Journal of Construction Management
container_volume
container_issue
doi_str_mv 10.1080/15623599.2024.2322237
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187127463&doi=10.1080%2f15623599.2024.2322237&partnerID=40&md5=e9e4c4ec60038fe214b7cb360383f6ac
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. © 2024 Informa UK Limited, trading as Taylor & Francis Group.
publisher Taylor and Francis Ltd.
issn 15623599
language English
format Article
accesstype All Open Access; Green Open Access
record_format scopus
collection Scopus
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