Designing an AI-Driven Talent Intelligence Solution: Exploring Big Data to Extend the TOE Framework
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Faqihi, Ali and Miah, Shah Jahan 
ORCID: 0000-0002-3783-8769
(2023)
Designing an AI-Driven Talent Intelligence Solution: Exploring Big Data to Extend the TOE Framework.
In: DataCom 2022, 8 December 2022 - 10 December 2022, Denarau Island, Fiji.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/47777 |
| DOI | 10.1007/978-981-99-2233-8_5 |
| Official URL | https://link.springer.com/chapter/10.1007/978-981-... |
| ISBN | 9789819922321 |
| Subjects | Current > FOR (2020) Classification > 3505 Human resources and industrial relations Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | talent management system; employment management; talent acquisition; artificial intelligence; design artifact; design science research |
| Download/View statistics | View download statistics for this item |
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