Search Results

Now showing 1 - 10 of 2497
  • Item
    A Comprehensive Study on Empowering High School Students for Career Success in a Government School in Sharjah
    (Springer Cham, 2025) Mona Abumady
    This qualitative research examines the factors that influence career empowerment among high school students in a government institution in Sharjah, UAE. It evaluates the efficacy of existing career guidance programs, the extent of students’ awareness of career pathways, and the influence of educational institutions on their aspirations. The study proposes strategies to improve students’ career readiness by identifying challenges in current guidance practices and conducting document analysis, interviews, and focus groups. The significance of career counseling, skill development, and informed decision-making in enabling students to select suitable universities and prospective professions is underscored by the results. The research endeavors to offer policymakers, educators, and stakeholders actionable insights to enhance career guidance programs, thereby promoting more informed career choices and self-efficacy among students.
  • Item
    A Critical Analysis for the Assessments and Moderation Policy of a UAE Higher Education Institution
    (Springer Cham, 2025) Abdulai Abukari; Razan Ashour
    This paper represents a critical analysis of Assessment and Moderation Policy implemented in a UAE higher education institution. This critical analysis of the policy followed the SWOT analysis approach. It aimed to determine the effectiveness of the mentioned policy by analysing the policy horizontally. The paper employs a critical thinking discussion of the components, rational and strength areas of the policy to identify the key weaknesses and threats associated with it, drawing on the prior work experience and pertinent literature review. The policy shows the availability of strong components such as the alignment with accreditation standards, rubric implementation and documenting a blind marking process. However, an absence of clarity in selecting the moderation samples, and in formulating the rubrics results in inconsistent implementation across departments, compromise its reliability, and affects the uniformity of student evaluations. To enhance policy effectiveness, the paper recommends the development of comprehensive workshops on rubric creation, the adoption of stratified sampling for moderation, and the engagement of students in understanding assessment criteria. It emphasizes the importance of regular policy evaluation and adaptation based on faculty and student feedback. This critique aims to contribute to the discourse on educational policy evaluation by providing insights into the challenges and opportunities for enhancing assessment and moderation policies in higher education.
  • Item
    Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4
    (Springer Cham, 2025) Mohammed Rasol Al Saidat; Khaled Shaalan; Suliman Yemria
    In this study, we investigate the role of Generative Pre-trained Transformer 4 (GPT-4) in enhancing interpretability of sequential predictions in Natural Language Processing (NLP). Our study introduces a hybrid model that integrates traditional sequential prediction models with GPT-4, aiming to generate detailed, context-sensitive explanations for model outputs. This approach is rooted in the use of advanced transformer architectures and a specialized tokenization method that maintains semantic coherence, allowing for deep contextual analysis by GPT-4. Additionally, we devise a rationale generation algorithm that achieves a balance between succinctness and informativeness. Our experimental validation spans across various high-dimensional datasets, including financial time-series and multilingual texts, employing both qualitative and quantitative metrics to evaluate the model’s performance. These metrics focus on the plausibility and consistency of the rationales, as well as the model’s predictive accuracy. Preliminary results demonstrate that our approach not only enhances the accuracy of sequential predictions but also significantly improves their interpretability. This finding highlights the potential of generative AI to bridge the gap between complex AI decision-making processes. This research underscores the viability of employing generative AI to elucidate the underlying mechanisms of sequential prediction models, paving the way for more transparent AI systems.
  • Item
    AI-Powered Banking Assistants: Enhancing Customer Service with Technology
    (Springer Cham, 2025) Omer Aftab Qureshi; Stephen Wilkins; Huda Iqbal
    This research aimed to examine how the quality of chatbot services affects customer satisfaction in the banking sector. The research determined a sample size of twenty-five, which was deemed adequate to attain data saturation within a longitudinal time frame. This research used an exploratory, qualitative inductive approach and a non-probability, stratified purposeful sampling method based on age categories. From the collected data, twenty-seven themes and sub-themes were identified, leading to 7 overall dimensions. The research could be expanded to encompass diverse target markets, innovative strategies, alternative media channels, and additional countries. This research added value by extending TAM 2 model in terms of customer satisfaction and customer experience. The output of this research resulted in the creation of a conceptual framework that addressed present constraints while proposing opportunities for future research.
  • Item
    Analysing the State of Inclusive Education in China: Challenges and Perspectives
    (Springer Cham, 2025) Zainab Merchant; Eman Gaad
    The global focus on inclusive education has intensified, with countries working to ensure equal school access for all, including those with disabilities. China has made significant legislative advancements to support inclusive education in line with international standards. However, challenges remain in implementing inclusive practices and delivering quality education to children with special needs. This study analyses China’s inclusive education system, examining its policy framework, social and cultural context, historical evolution, and implementation challenges. It highlights the need for comprehensive reforms to address gaps and foster true inclusion. Key recommendations include ongoing monitoring, clear policy directives, increased family involvement, and enhanced teacher training. The study calls for a holistic approach to ensure social inclusion and equity, aiming to build a more inclusive society for individuals with disabilities in China.
  • Item
    Beyond Taste: Investigating Indoor Air Quality in Sharjah’s Restaurants
    (Springer Cham, 2025) Zinah Aldoori; Wael Sheta
    Indoor Air Quality (IAQ) is crucial for customer satisfaction and well-being in restaurants but is often overlooked. As Sharjah becomes a global gastronomic hub, it is essential to address the complex issues of IAQ, which are linked to health, environmental, and climatic issues. International organizations like ASHRAE and WHO have enacted strict regulations and policies in order for improvement and maintenance of IAQ within the criteria of health and comfort. This study examines toxic air pollutants in a café setting to determine if they meet global requirements and standards. The majority of customers were satisfied with the staff’s service and saw no difference in their work rate, indicating a high standard of indoor air quality which satisfies the United Arab Emirates’ Indoor Air Quality standard.
  • Item
    Big Data Analytical Capability’s Role in Talent Management: Dynamic Capabilities’ Mediation in the Public Sector
    (Springer Cham, 2025) Mansour Ahmed Helal Aldhaheri; Abdelmounaim Lahrech
    This article explores the crucial role of big data analytical capabilities (BDAC) in enhancing competitive talent acquisition. It underscores big data as a vital resource akin to an organisation’s workforce, emphasising the necessity for skilled personnel to utilise big data effectively for quality benefits, distinguishing organisations both locally and globally. The study aims to clarify the relationship between BDAC and TA, investigating this through a framework that includes practical and scientific evidence to demonstrate how BDAC contributes to business value. A key concern addressed is the existing gap in how organisations harness big data to generate real value, with the study highlighting the ongoing challenges in optimising big data’s potential in business research. The article leverages environmental heterogeneity as a moderating variable, providing diverse perspectives on the relationship between big data and talent acquisition (Elia et al., Ind Mark Manag 1–16, 2020; Wamba et al., How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study Samuel Fosso Wamba, 2015). The research was conducted in Abu Dhabi, targeting government entities, and employs a quantitative survey design with 351 respondents to ensure valid results. The aim was to extract valuable insights through academic and experimental contributions, addressing the identified literature gaps and enhancing strategic decision-making concerning talent and dynamic capabilities in organisations (Chen et al., Manag Decis 57:5–18, 2019; Akter, Int J Prod Econ 182:113–131, 2016; Raguseo and Vitari, Int J Prod Res 2018).
  • Item
    BIM-Based Asset Management for Sustainability: A Systematic Review and Bibliometric Analysis
    (Springer Cham, 2025) Yujie Dong; Amir Rahbarimanesh; Saeed Reza Mohandes; Richard Kirkham
    This study presents a systematic literature review on adding sustainability elements into Building Information Modelling (BIM) to enhance sustainability in the asset management stage of a built asset’s life cycle. Focusing on environmental, economic, and social sustainability dimensions, the review uses bibliometric analysis and systematic content review to identify key advancements and research gaps. The findings reveal that while BIM effectively integrates environmental and economic factors, its application to social sustainability remains underdeveloped. The study underscores the need for a comprehensive framework encompassing all three sustainability dimensions. Additionally, it highlights opportunities to enhance BIM’s functionality by integrating emerging technologies like AI, IoT, and big data, which could enable predictive modelling and real-time sustainability analysis. However, their adoption within BIM practices is still limited. Key recommendations for future research include developing integrated sustainability models, improving stakeholder engagement, and establishing policy frameworks to encourage sustainable BIM practices. This review emphasizes BIM’s transformative role in sustainable asset management while identifying crucial areas for further development.
  • Item
    Building Dynamic Capabilities for Enhanced Organisational Performance
    (Springer Cham, 2025) Adnan Al Zoukani; Abubakr Suliman; Farzana Asad Mir
    This study investigates absorptive capacity in tourism organisations, focusing on their ability to gain and maintain a competitive edge through agility and value creation from external knowledge. The aim is to improve organisational performance and competitiveness amidst changing environments. The research examines how absorptive capacity affects strategic agility, value creation, and overall performance, emphasizing the importance of acquiring external knowledge for resilience and competitiveness. Past literature highlights strategic agility as a mediator between absorptive capacity and performance, and the role of value creation, especially in service value and customer satisfaction, in enhancing organisational outcomes. The study adopts a holistic view of organisational performance, integrating innovation and operational metrics through Dynamic Capability theory. Using a quantitative, deductive approach with 347 respondents from the UAE’s tourism sector, the research employs PLS-SEM and SmartPLS for analysis. Theoretical contributions include clarifying the significance of external knowledge absorption for tourism organisations and guiding managerial strategies for competitive advantage and market survival. Practical implications stress the need for effective employee training and development to ensure customer satisfaction and organisational resilience.
  • Item
    Determinants of Adoption of Integrated Reporting in an Emerging Market: The Case of UAE
    (Springer Cham, 2025) Dania M. Kurdy; Husam-Aldin N. Al-Malkawi
    The purpose of this study is to examine the determinants of the voluntary adoption of integrated reporting in the UAE context. The study employs a sample of 34 non-financial companies listed on Abu Dhabi Stock Exchange and Dubai Financial Market. Initially, content analysis is used to assess the quality of integrated reporting and constructing an index to measure integrated reporting quality (IRQ). Then regression analysis is used to examine the relationship between IRQ and selected variables. The results show that there is a positive association between IRQ and firm size, board size, gender diversity and growth opportunity. While the IRQ is negatively related with financial leverage and profitability. The findings of the paper offer important implications for large companies with large board, gender diversity and growth opportunity to utilize integrated reporting to reduce agency problems and signal its prospects. To the best of our knowledge, this is the first empirical study to construct IR index for UAE companies and to examine the determinants of voluntary adoption of IR within the UAE context.