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    Forecasting the Demand and Supply of Technicians in Construction

    Access Status
    Fulltext not available
    Authors
    Sing, Michael
    Love, Peter
    Tam, C.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    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.
    Source Title
    Journal of Management in Engineering
    DOI
    10.1061/(ASCE)ME.1943-5479.0000227
    ISSN
    0742-597X
    School
    Department of Construction Management
    URI
    http://hdl.handle.net/20.500.11937/13020
    Collection
    • Curtin Research Publications
    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.

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