Browsing by Type "master thesis"

Now showing 1 - 20 of 140
  • Publication
      6
  • Publication
    A globalized higher education empowers Emirati women in their careers
    (2020)
    Alawadhi, Amier
    ;
    AlEbri, Maitha
    ;
    Mousa, Sara
    ;
    Albarri, Tyeb
      11
  • Publication
    A Sustainable Vision for Healthcare Organizations, A Strategic Response to Global Challenges
    (2023)
    Najjar, Asma Ahmed
    This study aims to explore the global challenges that faced by healthcare organizations and exploring innovated approaches & strategies for designing advanced healthcare business ecosystem while alignment with the United Nations' Sustainable Development Goals as a strategic response. A comprehensive literature review and in-depth case study of Cleveland Clinics & comprehensive survey serve as the foundation for identifying best sustainable and innovated strategies to implementing sustainable business models in healthcare organizations. This research adopts a mixed-methods approach, utilizing qualitative data analysis and quantitative performance indicators to evaluate the feasibility and effectiveness of the proposed strategic response plan. In conclusion, this research finds Healthcare organizations are advised to apply innovated approaches and strategies to build sustainable business ecosystem model, enabling them to adapt to fluctuating demands, optimize patient care, and ultimately contribute to a healthier future for individuals, society, environment and economy in the context of escalating global challenges.
      8  2
  • Publication
    Academic Maze Runners of Sorbonne University Abu Dhabi A Case study on Sorbonne University Abu Dhabi Students FLE Intake AY 2017-2018-Cohort Analysis
    (2023)
    Mir, Afrah
    The present study investigates the various factors that impact student retention and timely graduation rates at Sorbonne University Abu Dhabi-UAE. The research methodology employed in this study was the use of a mixed methods approach, which encompassed the analysis of both quantitative data and qualitative interviews. The study conducted a quantitative analysis on a specific group of 254 students who were admitted to the French Intensive Language (FLE) program during the academic year of 2017-2018. The observation of student enrollment status was conducted across many academic years in order to evaluate the progress of students and identify those who either dropped out or successfully completed their studies within the designated time frame (one year for the FLE program and three years for the bachelor's degree). The study employed chi-square tests to analyze the relationship between graduation rates and variables such as gender, age, nationality, and scholarship status. The key findings of the study revealed that male and adult learner students exhibited lower rates of timely graduation, whereas non-Emirati students shown higher rates of retention. The individuals who received conditional merit scholarships demonstrated greater rates of completing their three-year bachelors degree compared to students who received unconditional government funding. The findings of this study indicate that qualitative interviews conducted with a sample of seven graduates shed light on the influence of various individual characteristics, such as motivation, skills, and family support, on their ability to persist in their academic pursuits. Additionally, the study highlights the presence of institutional shortcomings, namely inadequate preparation for bachelor's degree programs, which emerged as significant impediments for these graduates. Nevertheless, it is important to note that the constraints in question did not have a direct causal relationship with the withdrawals. In general, a multitude of complex individual, societal, and organizational factors influenced the academic paths of students. The recommendations encompass many strategies to enhance institutional practices. These strategies involve the implementation of expanded tracking mechanisms for multi-year cohorts, the integration of grade and attendance data, conducting interviews with withdrawn students, and implementing targeted modifications to address specific institutional shortcomings.
  • Publication
    Active and passive investment management
    (2019)
    A. Alkhoori
      4
  • Publication
      6
  • Publication
    An Analysis of the Impact of Cyber Operations on Intenational Law and Diplomacy: A Case Study of Russia and Ukraine
    (2023)
    Al Naqbi, Nadya
    The main focus of this thesis has been to understand the role of cyber operations of different states and analyse how international laws and diplomacy play a role in effective cyber operations. The Russia-Ukraine conflict situation is taken into consideration to understand the influence of cyber operations. Several international laws govern the relations between different states; however, there is an absence of a proper legal framework that governs the cyber operational activities of different states. Different studies have been conducted to understand the different cyber attacks experienced throughout the Russia-Ukraine conflict and the implications they had on the nations. The challenges to the effective implementation of international cyberspace laws have also been analysed for the effective development of international laws and diplomatic responses for resolving this conflict.
      5
  • Publication
    An Econometric Approach on the Effect of Global Economic Policy Uncertainty Index on Outbound Tourism
    (2022)
    En-Naïm, Imane
    This study investigates the dynamic of international tourism under economic uncertainty circumstances. More specifically, we hypothesize that EPU exerts (1) negative effects on international arrivals and (2) positive effects on international arrivals. To examine this, we run a set of test on a sample of 21 countries over the period of 2000 to 2020.
      4  39
  • Publication
    Artificial Intelligence & Machin Learning in the Financial Markets: Importance of Integrity and Ethical Use
    (2024)
    Alzoubi, Alaa Ahmad
    During 1956 summer, an important event in the history of technology occurred on the campus of Dartmouth College in the United States when a team of researchers officially founded artificial intelligence research field. Since then, advances in machine learning and artificial intelligence have grown gradually, but in the 2020’s, when these technologies found successful uses in both business and academia, there has been a notable boom in these fields. The financial market revolution has been accelerated by artificial intelligence and machine learning due to their enhanced efficiency and predictive capabilities. However, the introduction of machine learning and artificial intelligence into the financial industry brought up a number of ethical questions regarding its applications and potential effects on the integrity of financial markets. In this literature review paper, we will review the ethical considerations in implementing artificial intelligence and machine learning technologies in financial markets in relation to transparency, accountability, and market manipulation to assess market integrity. Additionally, will see if financial market participants contribute to fostering an ethical culture that seeks to align technological advancement with ethical principles in the financial sector.
      1  1
  • Publication
    Artificial Intelligence in retail Banking and the impact to consumer behaviors
    (2023)
    Elkhoudaimi, Nour El-Houda
    The following research examines how retail banking AI affects customer behaviour. AI may enhance consumer experience, engagement, and cost. It improves account opening and loan application efficiency and accuracy. AI may also personalize services, determine client preferences, and provide contextual suggestions. The article examines how AI affects retail banking customer behaviour, trust, and loyalty. It also discusses AI implementation obstacles and ways for banks to succeed. Along with this, the results may help retail banks use AI to better understand and meet client wants. This secondary, theme study examines retail banking's use of AI and its effects on customer behaviour. AI technology has becoming essential to the banking business, with applications ranging from customer service automation to powering analytics and risk management. Its potential and ramifications must be examined. This study used interpretative and digital strategies to find relevant primary and secondary materials. Consumer behaviour research on artificial intelligence in retail banking generally focuses on conversational AI, automation and machine-learning AI, AI blockchains, and AI-driven financial solutions. The data show that AI is influencing consumer behaviour. AI's ease in automating banking and customer service, confidence in tailored suggestions, and other perks. AI technology in banking is changing customer behaviour and enabling a more sophisticated banking experience. AI banking may potentially provide hazards. Privacy, consumer uncertainty with AI, and data control. AI bias, accuracy, security, and other psychological and ethical issues influence customer behaviour. The presentation will conclude with possibilities and challenges for major retail banks as they experiment with AI and its effects on customer behaviour.
      4  1
  • Publication
    Artificial Intelligence in Retail Banking: Opportunities and Challenges
    (2023)
    AlNeyadi, Mouza Abdulla
    The research examined the opportunities and challenges related to implementing artificial intelligence (AI) in the retail banking industry in United Arab Emirates, specifically Abu Dhabi. The researcher used a qualitative research technique (a semi-structured interview) to investigate the experiences and perceptions of various senior managers and employees at First Abu Dhabi Bank, Abu Dhabi Commercial Bank, and Abu Dhabi Islamic Bank. Moreover, the researcher incorporated descriptive statistics to capture customers' behaviors toward using AI. The researcher assessed the opinions of the customers of these banks. As a result, 53 participants were incorporated into this study. The data was analyzed using thematic analysis to understand the challenges and opportunities in retail banking in Abu Dhabi. The findings highlighted the multifaceted nature of AI adoption, revealing the potential benefits, such as enhanced customer experiences and operational efficiency, as well as the challenges related to data privacy, regulatory compliance, and customer trust.
      3  1
  • Publication
    Artificial Intelligence in UAE banking
    (2019)
    A. Sanders
      5
  • Publication
    Assessing the Impact of Artificial Intelligence implementation in Hospitals on Healthcare Economics: A meta‐Analysis
    (2023)
    Hussein, Muayyad Mohammad
    Background: The integration of artificial intelligence (AI) into healthcare systems has been postulated to carry significant economic implications. As hospitals globally pivot towards AIcentered solutions, understanding these economic outcomes becomes pivotal. Objective: This meta-analysis aimed to elucidate the economic impact of AI adoption in hospitals, gauging its influence on metrics such as return on investment (ROI) and cost-efficiency. Methods: Leveraging the PRISMA framework, relevant studies were sourced, screened, and selected. The Cochrane Collaboration's risk of bias tool assessed study quality. Pooled data results, heterogeneity, and sensitivity analyses were conducted, with the overarching findings presented through forest plots. Results: AI's integration in hospitals showcased a moderate positive economic impact (Hedges' g = 0.65, 95% CI [0.50, 0.80], p < 0.001). Subgroup analyses indicated nuances based on AI technologies, with neural networks in predictive analytics yielding the highest economic benefits. ROI-centric studies indicated substantial positive effects. Notable heterogeneity was observed, emphasizing the diverse nature of AI implementations and economic metrics. Conclusion: AI's introduction into hospital settings yields positive economic outcomes, solidifying its stance as a transformative force in healthcare economics. However, strategic, informed integration is imperative to maximize these benefits.
      13  1
  • Publication
    Assessment of the Non-Compliance Mechanism in the Paris Agreement
    (2024)
    AlKatheeri, Tawadud
    The 2015 Paris Agreement stands as a monumental achievement in the realm of international environmental law, embodying the collective will of the global community to confront the challenges of climate change. Central to the success of this accord is the effectiveness of its NonCompliance Mechanism (NCM), which is designed to ensure that parties adhere to their commitments in reducing greenhouse gas emissions. This thesis examines the CM within the Paris Agreement, evaluating its design, operational procedures, and practical effectiveness. It further contextualizes this mechanism by comparing it to those established under other Multilateral Environmental Agreements (MEAs), such as the 1987 Montreal Protocol on Substances that Deplete the Ozone Layer and, within the climate change regime, the 1997 Kyoto Protocol. This research identifies both strengths and weaknesses in the NCM's ability to ensure compliance among parties, focusing on its facilitative, non-punitive approach. This approach is contrasted with more stringent enforcement mechanisms found in other agreements, highlighting the balance between support and accountability. The thesis also examines case studies and operational procedures of NCMs under other environmental and international treaties to assess their real-world application to provide insights into their successes and limitations. This thesis contributes to the ongoing debate on international environmental governance by assessing the adequacy of the Paris Agreement's NCM and identifying aspects for improvement within the mechanism. It underscores the importance of balancing facilitation with accountability to achieve the goals of the agreement. The research reveals that the Paris Agreement's NCM is unique in its strictly non-punitive, facilitative approach, which distinguishes it from the more punitive enforcement mechanisms seen for examples under the Montreal and Kyoto Protocols. While the Paris Agreement's emphasis on support, transparency, and capacity-building fosters greater inclusivity and cooperation, the lack of enforcement measures raises concerns about its ability to handle persistent non-compliance. Additionally, the study finds that engagement with stakeholders and transparency measures are critical for building trust among parties, but further refinements, such as broader peer review processes similar to the mechanisms under Trade law and Human Rights law, could strengthen the mechanism's overall impact.
      22  229
  • Publication
    Attitudes and Beliefs toward UAE’ multicultural society: How Emiratis’ Interaction with foreigners in the UAE is stimulating their perception of cultural identity
    (2019)
    Alamri, Fatima
    In a highly hybrid and demographically imbalanced society like the United Arab Emirates, a question of social cohesion and cultural preservation come to the mind. The UAE is home for more than 200 nationalities and the majority of its population are foreigners. While there are various initiatives to encourage tolerance, open dialogue and coexistence, there is a huge gap between the national population and the foreign population that requires further study. Most of the foreign population are coming to the UAE in temporary basis for economic reasons mainly for working and find interaction with the local community is unnecessary. On the other hand, the local community view the huge influx of forging workers as threat to their identity and national economic, political and social stability. This paper examines the impact of Emiratis’ social interaction with their multicultural peers in different social settings like; personal life, education, workplace and neighborhood on their cultural identity.
  • Publication
    Automation and Artificial Intelligence within the Financial Industry
    (2023)
    Al Marzooqi, Jassim Yehya
    The importance of artificial intelligence (AI) and automation have been at the forefront of research to understand their impacts and potential improvements they may bring to financial management and internal operations of financial institutions. Literature has found an acceleration of digital adoption within financial institutions due to changing expectations from customers, increased competition from new digital entrants, and the necessity of improving operational efficiencies given revenue expansion with more customers to service. This paper seeks to analyze the impact and long-term benefits of AI and automation in enhancing operational efficiencies and financial management within financial institutions, and understanding whether the investment or banking sector is more conducive to AI adoption. The paper conducts a quantitative & qualitative time-series case study analysis across identified financial institutions and correlating the percentage of services offered without human intervention vs. enhancements in operational efficiencies measured as cost vs. output (net profitability). The results from the analysis indicate that automation and AI adoption enhance both operational and financial efficiency within financial institutions, with a higher improvement witnessed within investment firms as compared to banks due to similar transaction.
      13  1
  • Publication
      5  1