An employer demand intelligence framework
| dc.contributor.author | Smalberger, Chamonix | |
| dc.contributor.supervisor | Dr Boris Villazon-Terrazas | |
| dc.contributor.supervisor | Dr Ponnie Clark | |
| dc.contributor.supervisor | Prof. Elizabeth Chang | |
| dc.date.accessioned | 2017-01-30T09:52:08Z | |
| dc.date.available | 2017-01-30T09:52:08Z | |
| dc.date.created | 2014-06-09T06:02:51Z | |
| dc.date.issued | 2013 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/655 | |
| dc.description.abstract |
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.language | en | |
| dc.publisher | Curtin University | |
| dc.title | An employer demand intelligence framework | |
| dc.type | Thesis | |
| dcterms.educationLevel | PhD | |
| curtin.department | School of Information Systems, Curtin Business School | |
| curtin.accessStatus | Open access |