Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114517
DC FieldValueLanguage
dc.creatorLo, Ada-
dc.creatorFung, Clare-
dc.identifier.urihttps://oer.lib.polyu.edu.hk/concern/works/h702q6802-
dc.language.isoeng-
dc.language.isochi-
dc.publisherHong Kong Polytechnic University-
dc.subjectScheduling-
dc.subjectArtificial intelligence-
dc.subjectPersonnel management-
dc.titleHarnessing AI for Enhanced Scheduling: A Case of Orquest-
dc.typeCase Study-
dc.typeOER-
dcterms.abstract<p align="justify">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. <p align="justify">Orquest 采用人工智能驱动的劳动力管理系统,为麦当劳(McDonald’s)和 ZARA 等企业优化员工排班,从而提高运营效率并提升员工满意度。尽管 AI 能够简化排班流程并减轻行政工作量,但在确保数据质量、提升员工数字素养,以及保持必要的人情味以应对员工细微需求和福祉方面,依然面临着诸多挑战。-
dcterms.alternative运用人工智能优化排班:Orquest 案例-
dcterms.issued2025-
Appears in Collections:Open Educational Resources
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