SACM - Malaysia
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9660
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Item Restricted Aspect-Based Sentiment Analysis on Healthcare Services Uding pre-trained Languges Model(Malaya University, 2025) Alkathiri, Sarah; Sabri, AznulThis research explores the application of various computational models for aspect- based sentiment analysis (ABSA) of healthcare reviews, a critical component of enhancing healthcare services through feedback analysis. With the rapid expansion of online health platforms, the volume of textual reviews generated by patients provides a rich source of data for understanding patient satisfaction and areas needing improvement. The research thoroughly assesses various models, encompassing conventional statistical models, recurrent neural networks (RNNs), and sophisticated transformer-based models like BERT, RoBERTa, and DistilBERT. Each model was assessed based on its ability to accurately classify sentiments tied to specific aspects of healthcare services, such as cleanliness, staff behavior, and treatment efficacy. Two primary feature extraction techniques, Bag of Words (BoW) and Term Frequency-Inverse Document Frequency (TF-IDF), were employed to transform raw text into a suitable format for model ingestion. Our findings demonstrate that while traditional models offer quick and interpretable results, they sometimes lack the nuanced understanding of context provided by more sophisticated deep learning and transformer models. RNNs, particularly LSTM and BiLSTM, were effective in capturing temporal dependencies in text data, essential for comprehending longer patient feedback.14 0Item Restricted THE INFLUENCE OF LEADERSHIP STYLE ON INNOVATION: THE MEDIATING ROLE OF JOB SATISFACTION IN SAUDI HOSPITALS IN RIYADH(LINCOLN UNIVERSITY COLLEGE, 2024-08) Almughim, Tareq Mohamed; Abdulsamad, AkramThe study goal of this study is to examine the influence of direct empirical relationship between leadership styles, job satisfaction and innovation. In addition, this study examined the mediating role of job satisfaction as a mediator in the relationship between leadership styles dimensions (transformational leadership, transactional leadership, organizational commitment, laissez faire leadership) and innovation in Saudi healthcare. The PLS path coefficient showed four (4) formulated direct and indirect hypotheses had a significant effect on job satisfaction and innovation among employees of healthcare in the Saudi Arabia. The study establishes that job satisfaction partially mediates the relationship between leadership styles and innovation, with high leadership styles having a strong positive influence on innovation and job satisfaction in Saudi hospitals. Thus, leadership styles, such as transformational leadership, transactional leadership, organizational commitment, laissez faire leadership all contribute to job satisfaction and services and PIN in Saudi hospitals. Furthermore, the findings contribute to the ongoing discourse about the importance of job satisfaction by examining the distinctive mediating effect of leadership styles on innovation among employees of healthcare in Saudi Arabia. Additionally, the results of this study indicate that hospitals leaders, policymakers, and government organization officials must understand the reasons why employees of healthcare in Saudi Arabia have job dissatisfaction. Finally, the study gives insights into the state of leadership styles in Saudi hospitals and its impact on job satisfaction and innovation among Saudi healthcare and provides points of reference for academics, practitioners, and policymakers.14 0