Understanding Current Demand for BIM Professionals in China through Recruitment Data Mining
Publication: Journal of Management in Engineering
Volume 40, Issue 3
Abstract
Building information modeling (BIM) is critical to the digital transformation and upgrading of the construction industry. With its continuous promotion, the demand for BIM professionals is increasing, which can be seen from the large number of job recruitment ads on the Internet. Mining the massive recruitment information is conducive to understanding current demand for BIM professionals. After 5,033 pieces of BIM-related recruitment information in China being collected and preprocessed, statistical analysis was applied to reveal the demand for BIM professionals at the macro level. Then cluster analysis was carried out to classify different posts, with their corresponding required skills being visualized through a word cloud. Subsequently, based on the extracted keywords, an index system including 11 first-level indicators and 61 second-level indicators was constructed to comprehensively evaluate the competencies of BIM professionals. Finally, correlation analysis was introduced to quantify the relationships between different skills and posts. Through the recruitment data mining, it is possible to understand the overall demand for BIM professionals, available BIM posts, and their requirements which can provide reference for both BIM professionals training and BIM job hunting. Furthermore, it sheds light on the application of text mining in construction industry.
Practical Applications
This study utilized text mining to extract information from a large quantity of online BIM recruitment data, in order to analyze the current demand for BIM professionals in China. The research findings provide valuable insights into three main subjects. First, for BIM practitioners it provides valuable insights into the current market trends for BIM positions and the essential skills needed, enabling them to engage in targeted learning efforts. Second, for employers it enhances recruitment efficiency by offering a clear picture of the requirement for different positions. Third, for industry and educational institutions the competency index system facilitates the development of well-founded BIM professionals cultivation programs, promoting systematic training for aspiring BIM professionals.
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Data Availability Statement
Some data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. These include the BIM professionals recruitment data and the Python code for text mining.
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Published In
Journal of Management in Engineering
Volume 40 • Issue 3 • May 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Jan 7, 2023
Accepted: Nov 1, 2023
Published online: Feb 26, 2024
Published in print: May 1, 2024
Discussion open until: Jul 26, 2024
ASCE Technical Topics:
- Architectural engineering
- Building information modeling
- Building management
- Buildings
- Computer networks
- Computing in civil engineering
- Construction engineering
- Construction industry
- Construction management
- Correlation
- Data collection
- Engineering fundamentals
- Internet
- Mathematics
- Methodology (by type)
- Research methods (by type)
- Statistics
- Structural engineering
- Structures (by type)
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