| contributor author | Chun-Pong Sing | |
| contributor author | Peter E. D. Love | |
| contributor author | Chi-Ming Tam | |
| date accessioned | 2017-05-08T22:14:50Z | |
| date available | 2017-05-08T22:14:50Z | |
| date copyright | May 2014 | |
| date issued | 2014 | |
| identifier other | 39987929.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/75066 | |
| description abstract | Workforce forecasting is a strategic managerial practice that construction organizations should implement to ensure a balanced workplace. The workforce forecasting systems that have been developed are either qualitative or quantitative in nature. This paper develops a sustainable workforce model that utilizes both quantitative and qualitative data to improve the accuracy of workforce demand and supply forecasts. Using empirically derived data for off-site construction technicians in Hong Kong, the developed workforce forecasting system is used as a strategic managerial tool to predict and monitor workforce conditions. | |
| publisher | American Society of Civil Engineers | |
| title | Forecasting the Demand and Supply of Technicians in the Construction Industry | |
| type | Journal Paper | |
| journal volume | 30 | |
| journal issue | 3 | |
| journal title | Journal of Management in Engineering | |
| identifier doi | 10.1061/(ASCE)ME.1943-5479.0000227 | |
| tree | Journal of Management in Engineering:;2014:;Volume ( 030 ):;issue: 003 | |
| contenttype | Fulltext | |