International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
  • /
  • Pages.391-398
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  • 2024
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  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
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Big Data Adoption in the Construction Industry: Status Quo, Drivers and Challenges

  • Xiaojing ZHAO (Department of Management Engineering, School of Management and Economics, Beijing Institute of Technology) ;
  • Hezhang DENG (Department of Management Engineering, School of Management and Economics, Beijing Institute of Technology) ;
  • Piaoran WANG (Department of Management Engineering, School of Management and Economics, Beijing Institute of Technology) ;
  • Mi PAN (Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau)
  • Published : 2024.07.29
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Abstract

Under the influence of pervasive digital revolution, the world is overwhelmed with data with an increasing speed of data generation. The accessibility and analysis of 'big data' can provide useful insight and help various industry sectors revolute. Although the concept of 'big data' has gained popularity in the construction industry in recent years, the construction industry remains at a nascent stage in the adoption of big data technologies and lags behind other sectors. To the best of our knowledge, few empirical studies have been done to examine the status quo of big data adoption in the construction sector and its influencing factors. This paper fills the gaps and examines the current status of big data adoption in companies with different sizes and roles and projects with different types, and the drivers and challenges in adopting big data technologies. After an extensive literature review, a questionnaire survey and post-interviews were conducted. The results of the analysis show that the big data adoption in the construction sector is affected by the size of companies and the work experience of employees. Technology advancement, competitiveness, government plan, and policy initiatives are the main drivers of the big data adoption, while design appropriate system, difficulty in data collection and the lack of knowledge and experience were found to be the major challenges for the big data adoption in the construction sector. Finally, the identified top three strategies to overcome challenges and promote big data adoption are 'clear organization structure', 'government incentives' and 'the training of IT personnel'. The findings of this study guide construction practitioners in different companies and projects put domain specific strategies in place to enhance the big data adoption.

Keywords

Acknowledgement

The authors acknowledge and appreciate that this study is funded by the Seed Funding scheme for young scholars in Beijing Institute of Technology (No: 3210012222005) and Beijing Social Science Foundation Decision Project (No: 22JCC117).

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