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http://hdl.handle.net/1893/37350Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Mallett, Oliver | - |
| dc.contributor.author | Alsuwaidi, Nawal Rashed | - |
| dc.date.accessioned | 2025-08-08T06:43:21Z | - |
| dc.date.available | 2025-08-08T06:43:21Z | - |
| dc.date.issued | 2024-08-30 | - |
| dc.identifier.uri | http://hdl.handle.net/1893/37350 | - |
| dc.description.abstract | This 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.iso | en | en_GB |
| dc.publisher | University of Stirling | en_GB |
| dc.subject | HRM | en_GB |
| dc.subject | HRMPs | en_GB |
| dc.subject | L&D | en_GB |
| dc.subject | AI | en_GB |
| dc.subject | Algorithms | en_GB |
| dc.subject | TAs | en_GB |
| dc.subject.lcsh | Artificial intelligence | en_GB |
| dc.subject.lcsh | Personnel management | en_GB |
| dc.subject.lcsh | Algorithms | en_GB |
| dc.subject.lcsh | United Arab Emirates | en_GB |
| dc.title | The utilisation of artificial intelligence algorithms in the learning and development system by human resources management practitioners: in the UAE government sector | en_GB |
| dc.type | Thesis or Dissertation | en_GB |
| dc.type.qualificationlevel | Doctoral | en_GB |
| dc.type.qualificationname | Doctor of Business Administration | en_GB |
| dc.rights.embargoreason | There 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.email | n.r.alsuwaidi@stir.ac.uk | en_GB |
| Appears in Collections: | Management, Work and Organisation eTheses | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| NawalRAlsuwaidi+Final-version_Redacted.pdf | Redacted version: only literature review and methodology are accessible | 1.24 MB | Adobe PDF | View/Open |
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