Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37350
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dc.contributor.advisorMallett, Oliver-
dc.contributor.authorAlsuwaidi, Nawal Rashed-
dc.date.accessioned2025-08-08T06:43:21Z-
dc.date.available2025-08-08T06:43:21Z-
dc.date.issued2024-08-30-
dc.identifier.urihttp://hdl.handle.net/1893/37350-
dc.description.abstractThis study, grounded in seven years of experience within a UAE government organisation, investigates how AI-algorithms are used in Learning and Development Systems (L&DS) to impact HR Management Practitioners’ (HRMPs) knowledge, skills, and experiences (KSE), while also identifying related challenges and responses. Findings from qualitative interviews reveal varied understandings of AI among HRMPs—some seeing it as a tool, others as a decision-maker—while algorithms are often perceived as mysterious. Challenges such as disjointed systems, multi-screen interfaces, and slow operations are largely attributed to the basic-level design by HRMPs themselves. To overcome these issues, participants advocate for a unified, standardised AI system and propose the establishment of a centralised Learning Centre to enhance HRMPs’ KSE and streamline their engagement with AI in the future.en_GB
dc.language.isoenen_GB
dc.publisherUniversity of Stirlingen_GB
dc.subjectHRMen_GB
dc.subjectHRMPsen_GB
dc.subjectL&Den_GB
dc.subjectAIen_GB
dc.subjectAlgorithmsen_GB
dc.subjectTAsen_GB
dc.subject.lcshArtificial intelligenceen_GB
dc.subject.lcshPersonnel managementen_GB
dc.subject.lcshAlgorithmsen_GB
dc.subject.lcshUnited Arab Emiratesen_GB
dc.titleThe utilisation of artificial intelligence algorithms in the learning and development system by human resources management practitioners: in the UAE government sectoren_GB
dc.typeThesis or Dissertationen_GB
dc.type.qualificationlevelDoctoralen_GB
dc.type.qualificationnameDoctor of Business Administrationen_GB
dc.rights.embargoreasonThere is restricted access to sections of this thesis, only the literature review and methodology are accessible. Pages have been redacted (p90 to p172; p219 to p231), as authorised by the University of Stirling Education Committee Academic Panel (Research). The Panel recognised the potential risk factor for participants due to the sensitive nature of the subject matter of the thesis, despite the author’s best efforts to anonymise contributions. The Panel approved permanently restricted access to the thesis, permitting access to the literature review and methodology only.en_GB
dc.author.emailn.r.alsuwaidi@stir.ac.uken_GB
Appears in Collections:Management, Work and Organisation eTheses

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