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Big Data Adoption in the Singapore Construction Industry: Drivers, Challenges and Strategies

In: Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Jasmine Ngo

    (National University of Singapore)

  • Bon-Gang Hwang

    (National University of Singapore)

  • Linda Ying Zi Chiam

    (National University of Singapore)

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.

Suggested Citation

  • Jasmine Ngo & Bon-Gang Hwang & Linda Ying Zi Chiam, 2021. "Big Data Adoption in the Singapore Construction Industry: Drivers, Challenges and Strategies," Springer Books, in: Gui Ye & Hongping Yuan & Jian Zuo (ed.), Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, pages 1137-1148, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-8892-1_80
    DOI: 10.1007/978-981-15-8892-1_80
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