Big Data Adoption in the Singapore Construction Industry: Drivers, Challenges and Strategies
Jasmine Ngo (),
Bon-Gang Hwang and
Linda Ying Zi Chiam
Additional contact information
Jasmine Ngo: National University of Singapore
Bon-Gang Hwang: National University of Singapore
Linda Ying Zi Chiam: National University of Singapore
A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1137-1148 from Springer
Abstract:
Abstract Big data (BD) has been a growing trend alongside the advancement of technologies and has the potential to overcome many of the existing challenges faced in the construction industry. However, the adoption of BD in the construction industry remains in a nascent stage. Furthermore, there exists limited literature on BD in Singapore’s construction industry. In order to increase the utilization of BD for construction projects, this paper discusses the drivers and challenges of BD adoption in Singapore’s construction industry, among different construction roles and years of experience in their current role and recommends strategies to overcome the challenges to promote BD adoption. Nine drivers, twenty-two challenges, and eight strategies have been identified and assessed for their impact on BD adoption. All drivers, challenges and strategies were found to impact BD adoption. The top three drivers were found to be Technology Advancement (D1), Competitiveness (D5) and Government Plan and Policy (D2). The top three challenges were identified to be Data Collection (C9), Lack of Knowledge and Experience (C20) and Data Quality (C10). To overcome the challenges and promote BD adoption, the top three strategies are Clear Organization Structure (S6), Government Incentives (S2) and Training of Skilled Personnel (S1). The findings from this study provide a better understanding of the barriers and challenges of BD adoption in construction projects and provide a valuable reference to the industry in driving BD adoption, with the potential to be extended to the global construction industry.
Keywords: Singapore; Big data; Construction industry; Technology adoption (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8892-1_80
Ordering information: This item can be ordered from
http://www.springer.com/9789811588921
DOI: 10.1007/978-981-15-8892-1_80
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().