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القيادة ورفاهية المعلمين: دراسة العلاقة بين القيادة التعليمية ورفاهية المعلمين، وكيف يمكن للقادة خلق بيئات عمل داعمة وصحية.
No full textIn this detailed study, the dissertation delves into the significant relationship between educational leadership and teacher well-being within private schools in Sharjah and Ajman, UAE. The research addresses a critical problem statement: understanding how leadership practices in educational settings influence the well-being and job satisfaction of teachers. The aim is to uncover specific leadership behaviours that contribute to or detract from teacher well-being.
The study's main research question probes the connection between various leadership styles and their effects on teachers' professional satisfaction and stress levels. To provide a comprehensive analysis, the dissertation draws upon key theories and previous studies that link educational leadership with teacher well-being, although these specific theories and studies are not detailed in the abstract.
Employing a mixed-methods approach, the research combines qualitative data from interviews with school leaders and quantitative data from teacher surveys, offering a holistic view of the leadership impact on teacher well-being. The key findings highlight the importance of supportive, communicative, and empowering leadership practices in fostering positive work environments for teachers.
While the study offers significant insights, it acknowledges its limitations, including its geographical focus on Sharjah and Ajman, suggesting that future research could broaden the scope to include various educational contexts and cultures.
In conclusion, the dissertation asserts a strong claim: effective leadership is paramount in creating an environment that nurtures teacher well-being, which is crucial for maintaining high educational standards and ensuring positive student outcomes. The inferences drawn underscore the necessity for educational leaders to adopt practices that prioritise teacher welfare, highlighting its ripple effect on the broader educational ecosystem.
Keywords: educational leadership, teacher well-being, private schools, UAE, leadership practices, job satisfaction, stress levels, mixed-methods approach, supportive leadership, empowerment in educatio
حل النزاعات المتعلقة بالمناقصات الخاصة بعقود الهندسة والبناء في دولة الامارات العربية المتحدة: مقارنة مع نزاعات المناقصات بموجب القانون الإنجليزي
No full textTendering and the tender actions of engineering and construction contracts are often closely linked to the primary causes of disputes. This correlation arises because construction projects are fundamentally rooted in the tendering process, where inherent pitfalls in tendering elements frequently precipitate disputes, either before or during construction works. To reduce the impact of such disputes, various dispute avoidance methods have been designed to mitigate the risk of high-cost losses that may result from these conflicts. This argument is reinforced by comparing the lower costs of avoidance measures with the expenses associated with litigation or arbitration to resolve similar conflicts. From my experience, the crucial role of the tender authority team, particularly in the preparation of tender scope and the evaluation of tender submissions, are often overlooked. The author emphasises that a solid understanding of construction law principles, coupled with practical experience in mandatory tendering practices, is essential for construction professionals to mitigate the impact of costly disputes arising from tendering processes or actions. This dissertation will explore the benefits of contractual knowledge and legal awareness with regard to dispute avoidance to better manage bidding problems. Furthermore, it will focus on tendering and associated disputes, primarily in the UAE and the UK, providing relevant local and international examples. Given the scarcity of resources on tendering circumstances in the UAE, professional input from construction specialists in the UAE will be sought through the use of a questionnaire.
Keyword: tendering, construction contracts, alternative disputes resolutio
An Integrated Model for Metaverse Adoption in Higher Education Institutions: A Structural Equation Modelling and Artificial Neural Network Approach
No full textInformation and Communication Technology (ICT) is experiencing a significant shift with the advent of the Metaverse, merging physical reality with a virtual world via virtual and augmented reality headsets. This development promises to revolutionize traditional online interactions, offering new educational opportunities through enhanced collaboration, communication, and immersive learning environments. The interest of Higher Education Institutions (HEIs) in the United Arab Emirates (UAE) in the Metaverse is notably high, attributed to its potential to transform education. However, research on the factors influencing Metaverse adoption in the UAE remains scarce, which limits the educational sector's progress and the effective utilization of Metaverse technology for educational purposes. This study aims to identify the determinants affecting the adoption of Metaverse technology within UAE's HEIs by proposing an integrative model that merges the Unified Theory of Acceptance and Use of Technology (UTAUT2) with Task-Technology Fit (TTF) and Protection Motivation Theory (PMT) elements. The study focuses on the adoption behavior of students towards Metaverse technology in UAE's higher education setting. A conceptual model was developed to test 14 hypotheses and address the research questions, fulfilling the study's main objective. Three research objectives were formulated based on this model, with subsequent sections providing results and explanations. Data were gathered from 760 undergraduate and postgraduate students’ responses from different universities in the UAE. Hypothesis testing revealed significant influences of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivations, price value, task characteristics, technology characteristics, task technology fit, response efficacy, self-efficacy, and perceived vulnerability on Metaverse adoption, with only response costs and perceived severity not supported. The ANN analysis, conducted to avoid overfitting and to analyze nonlinear correlations, showed the superiority of ANN predictions over traditional regression methods, indicating high levels of precision and reliability of the ANN models. Sensitivity analysis highlighted technology characteristics as the most significant predictor of task-technology fit. In addition, performance expectancy is the most significant predictor of students' Metaverse adoption behavior, followed by self-efficacy, while perceived vulnerability had the least impact. This comprehensive analysis contributes significantly to understanding the factors influencing Metaverse adoption in HEIs, offering insights for policymakers and practitioners in integrating Metaverse technology into educational infrastructure
Risks & Vulnerabilities to IT Systems in the UAE
No full textWith the advent of technology, information systems are highly susceptible to risks and vulnerabilities. Therefore, to ensure that their networks are fully secured, majority of them have developed various policies and also developed various operational procedures. These measures have proved to be very effective in countering the risks and vulnerabilities encountered by their software and other applications. Today, organizations are committing a lot of resources to facilitate risk management. The process of dealing with these vulnerabilities begins with knowing these associated risks and threats to both the hardware and software. This research provides a comprehensive overview of the risks and vulnerabilities of the IT systems in the UAE Government and how companies handle various security challenges that they encounter on a daily basis. The study further shows how many UAE companies are increasingly recognizing the impending threats of information system’s vulnerabilities, although they are still reluctant to implement the appropriate security measures. Additionally, the study provides recommendations of appropriate security measures that can be set up to ensure the issues are addressed
Exploring Teacher Evaluation Policy: A Critical Document Analysis of Teacher Evaluation Policy in a Private School in Dubai
No full textEvaluating teaching practices is a fundamental process in any quality education system. It is the assurance of consistency, standard-based, and professional educators’ performance, and the guarantee that teachers are all evaluated systematically and fairly. This study is a critical document analysis of teacher evaluation policy in a private school in Dubai. It aims to critique teacher evaluation policy in a private school in Dubai. The study utilized a qualitative approach in which document analysis is implemented in a systematic and thematic manner. The chosen teacher evaluation policy is examined against a rubric developed by the researcher after the extensive and thorough literature review. The study findings highlighted different components a typical teacher evaluation policy should have and suggested areas of improvement in the policy under investigation
Big Data Governance and Innovation Performance: The Mediating Role of Big Data Analytics Capabilities, and Organisational Agility
No full textBig data governance has become a top consideration in Information Technology and business management due to exponential data growth and its various applications. However, despite the efforts of researchers and practitioners to examine its value, it is still unclear whether and how it drives firm’s innovation performance. To fill this gap, this study draws on the resource-based view, the dynamic capabilities view, and recent literature on big data governance and big data analytics capabilities (BDACs) to examine the relationship between big data governance and innovation performance, while focusing on the mediating roles of BDACs and organisational agility in this relationship. To test the hypotheses presented in the study’s conceptual framework, a partial least squares- structural equation modelling approach was used and the questionnaire responses from 152 enterprises from various industries in the Gulf Cooperation Council (GCC) countries were analysed. The study’s main findings are that BDACs fully mediate the big data governance relationships with innovation performance and organisational agility. Evidence of significant serial mediation by BDACs and organisational agility between big data governance and innovation performance was also found. The study highlights the importance of BDACs and organisational agility in enacting the relationship between big data governance and innovation performance. For GCC firms, the ability of management to develop and deploy an appropriate combination of essential resources depends on their resources and capabilities (big data governance, BDACs, and organisational agility), leading towards the improvement of firm innovation performance
The Impact of the Zone of Proximal Development Concept (Scaffolding) on the Students Problem Solving Skills and Learning Outcomes
No full textThis open access book presents contributions on a wide range of scientific areas originating from the BUiD Doctoral Research Conference (BDRC 2023)Schools regularly use the zone of proximal development (ZPD), also known as scaffolding, to help students learn new skills. Students who do not receive enough scaffolding may not be able to acquire the skills at all, while students who receive too much scaffolding may suffer when it is taken away. Additionally, this will have an impact on their capacity for problem-solving and learning outcomes. This systematic literature review's goal is to examine how ZPD and scaffolding effect students’ learning outcomes and the growth of their problem-solving abilities.
Through a selection of pertinent publications that have undergone extensive analysis, the study addresses three main research topics.
The study's findings revealed that in order to achieve a high level of learning independence for the students and the ability to adapt to new situations leading to more advanced skills, a re-definition of certain concepts along with modifications and amendments on how to apply these new redefined ones, using more advanced teaching methodologies with incorporating technology to help students in exploring new ideas using critical thinking techniques and providing constructive feedback, are needed
Voluntary Adoption of Integrated Reporting in an Emerging Market: The Case of UAE
No full textStudy Aim
The increasing complexity and uncertainty in corporate environments necessitate enhanced transparency, particularly for investors seeking insights into value creation. This study aimed to explore the factors influencing the voluntary adoption and disclosure of Integrated Reporting (IR) among non-financial companies in the UAE, where IR remains a voluntary practice.
Method
To achieve this, the research employed a content analysis of integrated reports from 89 non-financial companies listed on the Dubai Financial Market (DFM) and Abu Dhabi Securities Exchange (ADX), utilizing 43 criteria from the IR framework. The study assessed firm-level factors such as profitability, leverage, size, age, and industry, alongside board-level factors including independence, gender diversity, and size. The analysis identified three clusters of disclosure quality—strong, medium, and weak—facilitated by the development of an IR disclosure index tailored to the UAE context.
Results
The findings indicated that profitability, firm size, and board size significantly influenced IR disclosure quality, with profitability being a consistent determinant across all clusters. Age and gender diversity also impacted disclosure quality but varied in effect across different clusters. These results provide valuable insights for regulators aiming to improve IR practices and for companies seeking alignment with global standards. While this study contributes to the literature on IR adoption in the UAE, its generalizability is limited by sample size and timeframe
The Impact of Workforce Agile Behavior on Organizational Innovation Performance for Manufacturing Enterprises
No full textThis open access book presents contributions on a wide range of scientific areas originating from the BUiD Doctoral Research Conference (BDRC 2023)Purpose - This paper intends to study the relationship between workforce agile behavior and organizational innovation in manufacturing enterprises. The research focuses on the impact of three characteristics of workforce agility (proactivity, flexibility, and resilience) on organizational innovation performance using the planned behavior theory (PBT), with a particular emphasis on product and process innovation.
Methodology - The research of this paper uses the theoretical background for the selected topic to propose a conceptual research framework to improve manufacturing enterprises’ innovation performance by understating the significance of workforce agility.
Findings - The expected outcome of the paper is to understand the relationship between agility in the workforce and innovation performance in manufacturing organizations. It can show the positive impact of a proactive, flexible, and resilient workforce in manufacturing enterprises to guarantee continuous growth in the rapid market landscape.
Implications - This study can support leadership and employees in the manufacturing sector to understand the importance of providing agile capabilities in the work environment to improve innovative organizational performance, sustain competitive market advantage, and respond to internal and external changes.
Originality/value - The paper addresses the literature gap on how organizational innovation can be influenced by workforce agility behavior in the manufacturing sector and helps understand the significance of agility practices in sustaining competitive advantages
Arabic Speech Sentiment Analysis Using Machine Learning: A Case Study of COP28
No full textIn recent years, the UAE has played a pivotal role in advancing the global climate agenda by hosting significant events such as the COP28. COP28 served as a crucial platform for international dialogue and cooperation among nations to address climate change and accelerate efforts to mitigate its impacts. In an era characterized by rapid technological advancements, the development of Arabic speech recognition systems emerges as a crucial frontier in enhancing accessibility, efficiency, and usability across various domains. Despite significant advancements in speech recognition for languages like English, challenges persist in adapting these technologies effectively to accommodate the unique characteristics of Arabic. Within this context, exploring Arabic speech recognition within the framework of COP28 serves as a compelling case study. This research integrates speech recognition technologies at COP28 and holds the potential to streamline communication and enhance accessibility for Arabic-speaking delegates and stakeholders. Through a comprehensive investigation of various speech recognition models, including CNN, BI-LSTM, GRU, and hybrid architectures such as CNN-BI-LSTM and GRU-BI-LSTM, valuable insights can be gained into their performance and efficacy within the unique context of Arabic speech recognition. Analysing key metrics such as accuracy across different sentiment categories – positive, negative, and neutral – provides a nuanced understanding of each model's strengths and limitations. The hybrid GRU and BI-LSTM model takes the lead, showcasing outstanding performance with an accuracy rate of 94%. Close behind is the standalone GRU technique, achieving an accuracy of 93%. Subsequently, both the CNN-BI-LSTM and CNN models follow suit with accuracies of 91% and 90%, respectively. The results showed the robustness and the effectiveness of the proposed models