Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/114517
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Fung, Clare | - |
| dc.creator | Lo, Ada | - |
| dc.identifier.uri | https://oer.lib.polyu.edu.hk/concern/works/h702q6802 | - |
| dc.language.iso | eng | - |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.subject | Scheduling | - |
| dc.subject | Personnel management | - |
| dc.subject | Artificial intelligence | - |
| dc.title | Harnessing AI for Enhanced Scheduling: A Case of Orquest | - |
| dc.type | Case Study | - |
| dc.type | OER | - |
| dcterms.abstract | Orquest uses AI-driven workforce management to optimize staff scheduling for companies like McDonald’s and ZARA, improving efficiency and employee satisfaction. While AI streamlines scheduling and reduces administrative workload, challenges remain in ensuring data quality, digital literacy, and maintaining the human touch needed to address nuanced employee needs and well-being. | - |
| dcterms.issued | 2025 | - |
| Appears in Collections: | Open Educational Resources | |
Access
View full-text via https://oer.lib.polyu.edu.hk/concern/works/h702q6802
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.