Saudi Cultural Missions Theses & Dissertations
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Item Restricted How Does Transformational Leadership Influence Employee Creativity Through Psychological Empowerment in the Health Industry? Lessons from Existing Theoretical and Empirical Literature(Queen’s Business School, 2024-09-13) Bin Jower, Aisha; Makowski, PiotrThis dissertation investigates the effect of transformational leadership on psychological empowerment and creativity in healthcare settings. The study addresses how leadership styles affect innovation and the performance of organisations in an industry that is chronically stressed, where rules are strict and ever-changing, and where patients’ needs are in constant flux. It uses a mixed-methods approach to existing data to explore several pertinent themes. One of these is how the behaviours of transformational leaders influence empowerment and how empowerment, in turn, mediates creativity among healthcare professionals. Furthermore, this research combines a quantitative analysis with a thematic qualitative review of the relevant literature to shed light on the association between leadership, empowerment, and creativity. The results indicate that transformational leadership has a strong, direct, and positive effect on psychological empowerment, which serves as a mediator for employee creativity, leading to improved innovation and job satisfaction. Also, it underscores ’the importance of context, demonstrating that effective healthcare leadership strategies should be tailored to the particulars of the environment if they are to achieve the desired effect. The dissertation concludes by recommending that healthcare organisations develop leadership programs that empower and nurture adaptability in their leaders: essential qualities that enable an organisation to meet the many challenges currently facing the healthcare industry. Future research should explore the specific kinds of leadership that serve the healthcare context and the support systems needed to create a culture of creativity within organisations4 0Item Restricted EXPLORING THE CHALLENGES FACED BY HR MANAGERS IN HOSPITALS IN TERMS OF RECRUITMENT AND RETENTION: SCOPING REVIEW(Swansea, 2024-09-28) Alyami, Mana; Rea, DavidThis scoping review investigates the challenges faced by HR managers in hospitals regarding the recruitment and retention of healthcare professionals. Considering the critical role of HRM in maintaining a skilled workforce, the study addresses strategies that could mitigate these challenges to ensure effective healthcare delivery. The research employs a scoping review methodology to assess existing literature. The databases utilised include Google Scholar, Cochrane Library, CINAHL, and Campbell Collaboration. Inclusion criteria centred on peer-reviewed English-language papers published between 2000 and 2023 that examine HR practices in hospitals. Key findings reveal that HR managers face multiple recruitment challenges, including talent shortages, lengthy recruitment processes, biased hiring practice, and weak employer branding. Retention challenges include poor leadership, lack of employee motivation and ineffective organisational culture. The study applies several theoretical frameworks including the Resource-Based View and Herzberg’s Two-Factor Theory to develop strategies that improve recruitment and retention. These frameworks highlight the importance of leveraging existing resources, enhancing employee motivation as well as addressing leadership and cultural issues to retain healthcare professionals. The discussion chapter underscores the importance of adopting HRM practices that promote employee satisfaction, recognition, and career development opportunities to retain skilled staff. A notable limitation is that scoping reviews may not fully capture evolving challenges in rapidly changing environments which could impact the applicability of findings to emerging healthcare settings. Generally, the research identifies gaps in current literature and proposes future research opportunities to better address the evolving needs of HRM in healthcare recruitment and retention.5 0Item Restricted Privatisation of the Saudi Arabian Healthcare Facilities: An Understanding of the Problem Representations in the Governmental Documents(The University of Edinburgh, 2024) Alhaddab, Shatha; Virk, AmritAmidst rising healthcare costs and fluctuating oil prices, Saudi Vision 2030 incorporates healthcare sector privatization as a strategic approach to improve the efficiency and quality of healthcare services. This research critically analyzed problem representation in healthcare privatization policy proposals in Saudi Arabia, and how they conceptualize healthcare privatisation as a solution to these problems. A textual analysis using Bacchi's 'What’s the Problem Represented to be?' approach was utilized to analyze problem representations in Saudi Arabian governmental documents advocating healthcare privatization. A total of three governmental documents were included in this study. Three problem representations were identified during the analysis: poor quality and inefficient public healthcare services, a growing population with insufficient hospital capacity, and unsustainability funding for healthcare. As a solution, privatization and public-private partnerships are proposed. This includes selling certain government assets and forming partnerships. The study indicates that the KSA healthcare sector is undergoing significant transformations, driven by the Saudi Vision 2030 policy, aiming to enhance efficiency and quality through privatization. However, it raises concerns about increased healthcare costs and patient safety, underlining the need for robust governance to mitigate these risks. It emphasizes the importance of stakeholder involvement and regulatory frameworks to ensure equitable and high-quality healthcare.14 0Item Restricted An In-Depth Analysis of the Adoption of Large Language Models in Clinical Settings: A Fuzzy Multi-Criteria Decision-Making Approach(University of Bridgeport, 2024-08-05) Aldwean, Abdullah; Tenney, DanThe growing capabilities of large language models (LLMs) in the medical field hold promising transformational change. The evolution of LLMs, such as BioBERT and MedGPT, has created new opportunities for enhancing the quality of healthcare services, improving clinical operational efficiency, and addressing numerous existing healthcare challenges. However, the adoption of these innovative technologies into clinical settings is a complex, multifaceted decision problem influenced by various factors. This dissertation aims to identify and rank the challenges facing the integration of LLMs into healthcare clinical settings and evaluate different adoption solutions. To achieve this goal, a combined approach based on the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) has been employed to prioritize these challenges and then use them to rank potential LLM adoption solutions based on experts’ opinion. However, utilizing LLMs technologies in clinical settings faces several challenges across societal, technological, organizational, regulatory, and economic (STORE) perspectives. The findings indicate that regulatory concerns, such as accountability and compliance, are considered the most critical challenges facing LLMs adoption decision. This research provides a thorough and evidence-based assessment of LLMs in the clinical settings. It offers a structured framework that helps decision-makers navigate the complexities of leveraging such disruptive innovations in clinical practice.24 0Item Restricted Enhancing Organisational Performance through Strategic Human Resource Development: A Systematic Review of Employee Training Practices in the Healthcare Sector in the United Kingdom(Brunel University London, 2024-03-21) Alnasser, Mohammed; ValsecchiIn this dissertation, the study examines the strategic alignment of training initiatives with organisational objectives in the UK healthcare sector. The literature review explores various factors that impact the effectiveness of staff training and development programs. Specifically, the research delves into the role of leadership support, engagement of healthcare professionals, and barriers to implementation. The findings highlight the critical importance of aligning training objectives with organisational goals, emphasising the pivotal role of leadership support, and promoting a culture of continuous learning. Additionally, the research identifies disparities in training effectiveness across different healthcare settings, providing insights into potential areas for improvement. Furthermore, the dissertation offers recommendations for future research and practice to enhance the strategic alignment of training initiatives in healthcare organisations. Overall, this study contributes to understanding how strategic alignment can enhance the effectiveness of training programs in addressing the evolving needs of the healthcare sector in the UK.25 0Item Restricted Investigating Medical English as a Lingua Franca: Determining the Effectiveness of Communication between Healthcare Practitioners in Hospital Settings in Saudi Arabia(Trinity College Dublin, 2024-03-14) Alhossaini, Fatima Mohammed; Carson, LornaThis thesis investigates the effectiveness of communication between healthcare practitioners in multilingual hospital settings in Buraidah, Saudi Arabia, with a focus on Medical English as a Lingua Franca (MELF). With the increasing globalization of healthcare workforces, this study examines how linguistic and cultural diversity influences communication in medical contexts and determines the impact of medical language on effective communication. Employing linguistic mediation as a theoretical lens, this exploratory cross-sectional study utilises a scoping review, surveys, and one-to-one interviews across three public hospitals. The research identifies the absence of literature on MELF, calling for a primary investigation into the communication strategies of healthcare practitioners and their impact on communication effectiveness. The findings suggest that whilst medical language has its inherent challenges, the principal obstacles to effective communication arise from the practitioners' diverse educational, linguistic, and cultural backgrounds, which significantly impact communication. The study also indicate the creation of neologisms and non-standard abbreviations as coping strategies, which can lead to further complications. The study underscores the critical role of linguistic mediation in navigating healthcare communication, emphasising strategies such as translation, questioning, repetition, and the use of verbal and non-verbal cues. The necessity for professional interpreters, language assessments, and multilingual documentation policies is emphasised, along with cultural competence training. These strategies are essential for mediating communication, concepts, and texts in healthcare settings. In conclusion, the research highlights the diverse nature of communication within MELF environments and the need for collaborative efforts from the ministries of health and education to prioritise and improve communication among healthcare practitioners. The thesis advocates for major policy and educational reforms, concluding that effective communication in MELF settings is crucial for patient safety, thus requiring systematic training for medical practitioners to address linguistic and cultural disparities and deliver effective patient care.15 0Item Restricted Factors Influencing Medical Internet of Things Adoption by Riyadh Hospital Staff in Saudi Arabia: A Quasi-Experimental and Model Testing Study(University of La Trobe, 2024-02-07) Alomari, Abdulaziz S.; Soh, BenMedical IoT (mIoT) has tremendous capabilities in healthcare, ranging from monitoring patients’ basic health statistics remotely to more complex healthcare solutions, such as timely prediction of fatal life events and prevention of lethal communicable diseases. Saudi Arabia faces significant challenges in smoothly transitioning to mIoT. Previous experiences with eHealth solutions have encountered obstacles, indicating the potential hurdles ahead. For instance, the underutilisation of EHR functionalities has been reported across the board due to a lack of interest associated with low computer literacy. Other factors resistant to eHealth technology adoption are insufficient user knowledge, time constraints, and a lack of appreciation for the importance and functionality of technologies. To that end, this thesis aims to investigate the mIoT knowledge, perceptions and determinants that influence mIoT adoption, in conjunction with the role of evidence-based awareness videos and personal demographics in hospitals in Riyadh, Saudi Arabia. A study framework is proposed utilising UTAUT as the base model. The proposed framework incorporates these six study factors: Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Computer and English language Self-Efficacy (CESE), Perceived Threat to Autonomy (PTA) and Confidentiality and Privacy Concerns (CPC). A quasi-experimental and model testing design is incorporated into our study. This study finds that the determinants (PE, EE, CESE, SI, PTA, CPC) proposed in the study framework hold significant predictive power in explaining the adoption behaviour of hospital care staff towards mIoT. Notably, the findings related to PTA yield valuable insights characterised by novelty, complexity, variability, and relevance in understanding mIoT adoption. The thesis concludes that the determinants should be incorporated during the initial stage of mIoT adoption in the healthcare sector. Future large-scale studies, including the involvement of sufficient numbers of doctors, are required to increase confidence and expand the relevance of the framework developed in this thesis.33 0Item Restricted What are the barriers to the early integration of paediatric palliative care? A systematised review(Saudi Digital Library, 2023-12-03) Aljardahi, Rakan; Mcfeely, ClareBackground: Children with serious illnesses, such as cancers or congenital anomalies, require special care that alleviates the disease burden. Paediatric palliative care (PPC) is comprehensive, interdisciplinary care for patients and their families that begins once a life-threatening disease has been diagnosed. PPC’s early integration with curative treatments has been proven to relieve suffering and enhance both patients’ and families’ quality of life. Nonetheless, few paediatric patients access and receive these services. Aim: To identify and synthesise the barriers to PPC’s early integration. Methods: This systematised review is based on PRISMA guidelines. The Medline, Embase, PsychInfo and CINAHL databases were searched using controlled and non-controlled keywords and a variety of research strategies. This search was limited to peer-reviewed studies published in English between 2018 and 2023. Based on the inclusion criteria, Covidence software was used to screen, extract and assess the retrieved studies, which were evaluated using the CASP and MMAT checklists. Findings were synthesised using narrative synthesis with inductive thematic analysis. Results: Eight studies of medium to high quality met the inclusion criteria. Three main themes were identified: limited resources, the lack of a standardised referral process and fears associated with palliative care. Conclusion: Reflecting the insufficient attention the speciality receives, several modifiable barriers impede paediatric patients from accessing the early benefits of palliative care services. PPC requires financial support, community awareness and a clear referral process. Policymakers play an important role in supporting PPC, and researchers must work to explore policymakers’ perspectives on these barriers and find facilitators.25 0Item Restricted IS THE CONCEPT OF BIG DATA RELEVANT IN SUPPLY CHAIN LOGISTICS? A REVIEW(Saudi Digital Library, 2023-11-30) Alharbi, Shaykhah; Marina, PapalexiIn this era of unprecedented digital data generation spanning the past two decades, the concept of Big Data (BD) has emerged as a powerful phenomenon. This paradigm shift extends to the healthcare sector, where a plethora of data originates from diverse sources, including electronic patient records and medical equipment. Despite the growing interest in applying big data analytics (BDA) to supply chain management (SCM) from both academia and industry, its exploration within the healthcare domain remains limited. Unlike its counterparts in business and manufacturing, the healthcare supply chain has yet to fully realize the potential of BDA, leading to performance disparities and the underutilization of best practices. In response, this review endeavors to delve into the existing literature concerning the application of big data in the healthcare supply chain, aiming to discern its pertinence. Through meticulous filtering, 56 primary studies were meticulously scrutinized and categorized from an initial pool of 5,626, in pursuit of addressing four key research inquiries. The findings underscore the transformative potential of big data within healthcare, with procurement, demand forecasting, inventory management, logistics, and quality assurance emerging as prominent applications. This potential is nurtured by a conducive environment shaped by various facilitating factors, although certain inhibitory elements are also evident. By offering a comprehensive analysis of the literature, this study not only highlights the focal points of ongoing research but also establishes a bridge between theoretical understanding and practical implementation. It serves as a foundation for future research endeavors, shedding light on pivotal areas and paving the way for a deeper comprehension of these domains in practice.22 0Item Restricted Barriers and Facilitators of AI-Driven Tools in Healthcare Project Management in Saudi Arabia: An Exploratory Study.(Saudi Digital Library, 2023-12-11) Alyami, Khawlah; Pagano, RosaneThe aim of this research is to identify and analyse the primary barriers and facilitators that could influence the project management of healthcare AI initiatives in Saudi Arabia. By doing so, the study seeks to contribute to the existing body of knowledge and assist in formulating strategies and policies that can expedite the digital transformation process in the healthcare sector. The research employs a qualitative methodology, utilizing semi-structured interviews and focus groups as tools for data collection. The participants included healthcare project coordinators and senior project leads with substantial experience in the field. The research aims to fill a gap in the existing literature by offering insights into the unique factors impacting AI technology adoption in the Saudi healthcare sector. Findings from the study identify strategic initiatives, skill development, and collaborations as central facilitators in the integration process. Simultaneously, data management challenges, ethical and regulatory concerns, stakeholder management, and risk management are recognized as significant barriers. The study offers specific recommendations to address these barriers, focusing on improving data security and compliance with regulations. This research serves as a valuable resource for stakeholders in the healthcare sector, providing actionable insights to advance the integration of AI tools in Saudi Arabia, aligning with the objectives of Vision 2030.42 0