SACM - United Kingdom

Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9667

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    Exploring the Impact of Artificial Intelligence on Risk Management Practices in Project Management within Small and Medium-Sized Enterprises (SMEs) in the IT Sector of the UK
    (Saudi Digital Library, 2025) Alburaq, Huda; Rutherford, Carrie
    This dissertation investigates the impact of artificial intelligence (AI) on risk management practices in project management within small and medium-sized enterprises (SMEs) in the UK IT sector. The study addresses a gap in understanding how AI adoption influences risk identification, response time, and overall project performance. Using a positivist philosophy and quantitative design, data were collected through an online survey of 75 professionals from UK IT SMEs. Statistical analysis showed that AI implementation significantly improves risk identification effectiveness and reduces response times, confirming two research hypotheses. However, no direct link was found between AI adoption and overall project risk performance, suggesting that successful outcomes depend on additional factors such as organisational readiness, integration strategies, and complementary capabilities. The findings provide both theoretical and practical contributions, emphasising that SMEs should prioritise AI for risk identification and response while building comprehensive integration strategies. This research offers guidance for SMEs seeking to leverage AI in project management and highlights areas for future investigation.
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    Project Leadership: An Exploration of the Role of Emotional Intelligence in Effective Project Management
    (Saudi Digital Library, 2023-12-07) Alyahya, Saad; Pangano, Rosane
    The research examines and explores the relationship between Emotional Intelligence, Project Performance, Project Leadership, and Effective Project Management. The research delves into the EI significance in project leadership and its impact on project management and outcomes. While technical expertise and strategic planning are crucial, EI’s role in perceiving, understanding, and managing emotions has gained recognition. EI is particularly relevant to manage and motivate project teams, fostering an inclusive culture, improving communication, and inspiring trust. The research addresses the problem of limited recognition of EI’s role in effective project management and theoretically contributes by expanding the understanding of the competencies of project leadership. Practically it informs the practices of project management by emphasizing the EI importance to promote a holistic approach to the success of the project that integrates EI. The research provides an extensive review of existing studies related to a topic that concludes by presenting a conceptual framework that represents the interrelationship between the variables Emotional Intelligence, Project Performance, Project Leadership, and Effective Project Management. The hypothesis are formulated to guide the research and address the relationship between variables. In the research quantitative surveys and hypothesis testing are utilized. The outcome of the research contributes to the literature on project management that helps project managers and industry professionals to make project management effective. The tool to perform the analysis in the research is Smart PLS 4. The research is conducted under the context of UK-IT sector firms. From the analysis, SEM-PLS is employed, and using that reliability analysis is assessed for the variable’s internal consistency with Cronbach’s Alpha values exceeding 0.7 for all variables. The demographic analysis described diverse characteristics of participants that enhance the comprehensiveness of the research. Factor loading demonstrates the relationship strengths between indicators and latent variables. Convergent validity was established with AVE values above 0.5 for each construct. Discriminant validity was confirmed via HTMT ratio analysis, Fornell Larcker Criterion Testing, and Cross-Loading Assessment that shows clear distinction among constructs. The structured model assessment employed path analysis that in results demonstrate all hypothesis acceptance. The co-efficient of Determination R2 indicates the prediction strength with effective PM showing a substantial value of 0.527 and Effect Size F2 measurement can categorize the effects as large for EI and project leadership and medium for the variable project performance. Overall research significantly contributes to the EI role comprehension in project management. It can substantiate the framework proposed, determine limitations, and suggest avenues for future research and exploration. By recognizing the importance of technical skills or expertise, the research encourages a comprehensive approach to project leadership that leads towards collaboration, and better decision-making and ultimately assists to achieve success in the project.
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    The impact of project govrenance on the project performance
    (Saudi Digital Library, 2023-08-17) Alfaqih, Abdulrahim Hasaan; abualqumboz, Moheeb
    This dissertation thoroughly investigates the relationship between project governance and results. The study uses a literature review to answer four fundamental research questions on the relationship between project governance and results. This study aims to improve comprehension and provide practical insights for efficient project management by methodically evaluating themes that arose from the investigation. The first research question delves into the most important aspects of project governance that affect performance. Governance framework, governance process, and stakeholder involvement are the three overarching topics that emerge from the thematic analysis. These motifs collectively help project success by encouraging timely and appropriate decision-making, proactive risk management, and open and honest dialogue
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