Forecasting the Demand and Supply of Technicians in Construction
| dc.contributor.author | Sing, Michael | |
| dc.contributor.author | Love, Peter | |
| dc.contributor.author | Tam, C. | |
| dc.date.accessioned | 2017-01-30T11:34:16Z | |
| dc.date.available | 2017-01-30T11:34:16Z | |
| dc.date.created | 2015-05-04T20:00:27Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Sing, M. and Love, P. and Tam, C. 2014. Forecasting the Demand and Supply of Technicians in the Construction Industry. Journal of Management in Engineering. 30 (3). 04014006. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/13020 | |
| dc.identifier.doi | 10.1061/(ASCE)ME.1943-5479.0000227 | |
| dc.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. | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Forecasting the Demand and Supply of Technicians in Construction | |
| dc.type | Journal Article | |
| dcterms.source.volume | 30 | |
| dcterms.source.number | 3 | |
| dcterms.source.issn | 0742-597X | |
| dcterms.source.title | Journal of Management in Engineering | |
| curtin.department | Department of Construction Management | |
| curtin.accessStatus | Fulltext not available |