Data Mining to Improve Human Resource in Construction Company

The quality of human resource is crucial for construction companies to maintain competitive advantages in knowledge economy era. However, construction companies suffering from high turnover rates often find it hard to recruit the right talents. In addition to conventional human resource management approaches, there is an urgent need to develop effective human resource management mechanism to attract and allocate the talents who are the most suitable to their own organizations in a construction company. In order to identify effective recruitment channels to access construction talents and design the appropriate screening criteria for selecting the right ones for different job functions, this study develop a data mining framework for human resource to explore the association rules between personnel characteristics and work behaviors, including work performance and retention. Case study demonstrated the practical viability of this approach.