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dc.contributor.authorSmalberger, Chamonix
dc.contributor.supervisorDr Boris Villazon-Terrazas
dc.contributor.supervisorDr Ponnie Clark
dc.contributor.supervisorProf. Elizabeth Chang

Employer demand intelligence is crucial to ensure accurate and reliable education, workforce and immigration related decisions are made. To date, current methods have been manually intensive and expensive — providing insufficient scope of information required to address such important economic implications. This research developed an Employer Demand Intelligence Framework (EDIF) to address detailed employer demand intelligence requirements. To further the EDIF’s functionality, a semi-automated Employer Demand Identification Tool (EDIT) was developed that continuously provide such intelligence.

dc.publisherCurtin University
dc.titleAn employer demand intelligence framework
curtin.departmentSchool of Information Systems, Curtin Business School
curtin.accessStatusOpen access

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