Forecasting the demand and supply of technicians in the construction industry

Chun Pong Sing, Peter E.D. Love, Chi Ming Tam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

15 Citations (Scopus)

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.
Original languageEnglish
Article number04014006
JournalJournal of Management in Engineering
Volume30
Issue number3
DOIs
Publication statusPublished - 1 May 2014
Externally publishedYes

Keywords

  • Labor multiplier approach
  • Stock-flow modeling
  • Sustainable workforce model
  • Technicians
  • Workforce assessment

ASJC Scopus subject areas

  • Industrial relations
  • General Engineering
  • Strategy and Management
  • Management Science and Operations Research

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