Forecasting the Demand and Supply of Technicians in Construction
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 tha...
| Main Authors: | , , |
|---|---|
| Format: | Journal Article |
| Published: |
American Society of Civil Engineers
2014
|
| Online Access: | http://hdl.handle.net/20.500.11937/13020 |
| _version_ | 1848748237037502464 |
|---|---|
| author | Sing, Michael Love, Peter Tam, C. |
| author_facet | Sing, Michael Love, Peter Tam, C. |
| author_sort | Sing, Michael |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:01:51Z |
| format | Journal Article |
| id | curtin-20.500.11937-13020 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:01:51Z |
| publishDate | 2014 |
| publisher | American Society of Civil Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-130202017-09-13T15:00:24Z Forecasting the Demand and Supply of Technicians in Construction Sing, Michael Love, Peter Tam, C. 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. 2014 Journal Article http://hdl.handle.net/20.500.11937/13020 10.1061/(ASCE)ME.1943-5479.0000227 American Society of Civil Engineers restricted |
| spellingShingle | Sing, Michael Love, Peter Tam, C. Forecasting the Demand and Supply of Technicians in Construction |
| title | Forecasting the Demand and Supply of Technicians in Construction |
| title_full | Forecasting the Demand and Supply of Technicians in Construction |
| title_fullStr | Forecasting the Demand and Supply of Technicians in Construction |
| title_full_unstemmed | Forecasting the Demand and Supply of Technicians in Construction |
| title_short | Forecasting the Demand and Supply of Technicians in Construction |
| title_sort | forecasting the demand and supply of technicians in construction |
| url | http://hdl.handle.net/20.500.11937/13020 |