SACM - United Kingdom
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9667
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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 organisations12 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.6 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.19 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.26 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.32 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.23 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 2030.43 0Item Restricted Medical Screening Assistant: A Chatbot to Help Nurses(Saudi Digital Library, 2023-11-08) Al Rabeyah, Abdullah Saleh; Da Silva, Rogerio E; Goes, FabricioOver the last several years, Machine Learning has emerged as a key player in the healthcare industry. The use of chatbots is a notable application of artificial intelligence within the field of healthcare. The advent of the ChatGPT revolution represents a significant breakthrough in the realm of natural language processing, a fundamental aspect of chatbot programming. This development has simplified the implementation of GPT to engage in user communication and fulfill the objectives of the application. The objective of this project is to reduce the excessive workloads faced by healthcare professionals and enhance the efficiency of decision-making processes. This will be achieved via the development of an intelligent medical chatbot as a mobile application, specifically designed to support nurses in conducting early patient diagnoses by analyzing symptoms. The chatbot uses Swift programming language for the iOS front-end and Python with Flask for the backend. It incorporates the ChatGPT API and machine learning models to effectively comprehend and interpret user inquiries. This project uses a Kaggle dataset of 41 distinct diseases along with their corresponding symptoms. The model is trained using Logistic Regression to predict the prognosis. The responsibility of managing the dialogue between the user and the chatbot, leading up to the compilation of the definitive list of symptoms shown by the patient, lies with ChatGPT. The use of a Flask RESTful API facilitates direct interaction between the iOS application and the server-side infrastructure. Finally, the application will provide the nurse with the five most probable prognoses, along with the prediction confidence scores, depending on the symptoms supplied. Additionally, the application will offer a description of the disease and provide precautionary measures for the patient.20 0Item Restricted Pattern Recognition & Predictive Analysis of Cardiovascular Diseases: A Machine Learning Approach(Saudi Digital Library, 2023-11-23) Alseraihi, Faisal Fahad; Naich, AmmarCardiovascular disease (CVD) is a predominant global health concern, with its impact becoming increasingly pronounced in low- and middle- income countries due to challenges like limited healthcare access, inadequate public awareness, and lifestyle-related risks. Addressing CVD's multifactorial origins, which span genetic, environmental, and behavioral domains, requires advanced diagnostic techniques. This research leverages the UCI Heart Disease dataset to develop a deep learning predictive model for CVD, incorporating 14 vital heart health parameters. The models performance is critically assessed against conventional machine learning approaches, shedding light on its efficiency and areas of refinement. Utilizing sophisticated Neural Network structures, this study strives to enhance predictive health analytics, aiming for timely CVD identification and intervention. As the integration of machine learning into healthcare deepens, it's crucial to ensure that these tools are robust, thoroughly evaluated, and augment clinical insights to reduce misdiagnosis risks.65 0Item Restricted Innovation Leadership and Employee Behaviours in Nurse Recruitment in Saudi Arabian Hospitals: A Qualitative Study(Mohammed Bindayel, 2022-11-24) Bindayel, Mohammed; Kelly, Daniel; Bennett, ClareNursing shortages are a global issue, and Saudi Arabia is no exception as attracting and retaining nurses have become increasingly difficult for Saudi hospitals. As only a few studies have explored innovation as a solution to resolving nursing shortages, this study therefore aims to explore the factors which impact innovative practices in nursing recruitment in the Saudi healthcare system. It does so from the perspective of Saudi staff, inclusive of both managers as well as those they manage. The study has four objectives: to understand the effects of culture on leadership and staff innovation; to explore how leadership practices shape innovation; to understand the concept of innovation from the perspective of Saudi staff; and to identify and overcome barriers to innovation practices in the recruitment and nursing staff. The study employed a qualitative research design using semi-structured interviews, and included a sample of 20 managers and staff in total. The sample was drawn from two divisions at two hospitals in Saudi Arabia: recruitment management, and nursing management. Thematic analysis was used to analyse the data, and the findings indicate that there is a general lack of understanding of the concept of innovation among the staff. In addition, the results suggest that there are certain conditions which need to be met in order for innovation to be encouraged to help solve the nursing shortage problem. The findings also indicated that the characteristics of Saudi healthcare leaders, which can be described as primarily a transactional style of leadership, actually hinders innovation in nursing and recruitment departments. Moreover, this was also found to negatively impact other aspects of the work environment and staff motivation, which hinders innovation further. In relation to culture, the present study found that aspects of Saudi society such as personality, belongingness, religion, education and family can have a negative impact on innovation in terms of nurse recruitment. Finally, the present study offers a number of practical implications, and outlines several areas which future researchers may wish to address.52 0