The British University in Dubai (BUiD) Digital Repository

Welcome to BSpace, the online institutional repository of the British University in Dubai. BSpace provides access to the Dissertations, Thesis, Research projects, Faculty publications and archives of BUiD.

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Recent Submissions

The impact of teachers’ leadership styles on the students’ academic achievement and behaviour in a cycle 1 government school in Dubai
(The British University in Dubai (BUiD), 2023-05) ALSOORI, HAYA MOHAMMAD HUSSAIN
Education professionals must be leaders in order to succeed. Leadership approaches were evaluated in Dubai's government cycle 1 schools. A study was conducted to examine the impact of teachers' leadership on student academic success and conduct. To increase the validity and dependability of the study, the researcher used both quantitative and qualitative methodologies. In order to understand successful leadership styles that will help improve academic performance and student behavior, the researcher communicated with instructors throughout the study by implementing observations, surveys, and interviews. The study results indicate that real leaders can positively influence students' academic achievement and behavior by having a thorough understanding of the curriculum, being able to use a variety of teaching methods, establishing positive relationships with students, providing constructive feedback, and letting students share their ideas and innovate.
The Impact of Industry 5.0 Technologies on the Performance within the Healthcare Sector through the Integration of Gamification-Based Learning Programs
(The British University in Dubai (BUiD), 2023-06) Alsuwaidi, Laila
Education continues to evolve in response to its influence in a world increasingly dominated by technology. This study thoroughly explores applying and accepting Gamification-Based Learning Programs within the healthcare sector. This extensive study was conducted through the lens of Gamification-based Learning Programs in the healthcare industry with the primary objective of realizing how learning techniques open the way for integrating technology into many professional fields. This study presented novel findings based on the Unified Theory of Acceptance and Usage of Technology (UTAUT2), embracing the importance of mobility, facilitating conditions, habit, and availability in encouraging the use of GBLPs. However, traditional considerations such as performance expectancy, effort expectancy, social influence, hedonic motivation, and price value have little effect on the decision to accept technology, necessitating a reevaluation of the reasons for technological use. This research used a hybrid SEM-ANN strategy, highlighting its potential to make accurate and consequential projections regarding the future of Gamification-based Learning Programs applications. While this study focused on the healthcare industry, the lessons learned apply to other professional learning settings and may help spark a revolution in how we know in many fields. The report continues by pointing out its limitations and calling for more research into this area from various professions. The research could cover the way for future research into the model, encouraging confidence in its ability to forecast technological uptake and serve as a roadmap for crafting more exciting and effective educational environments.
Exploring College Students’ English Language Learning Motivation and Their Teachers’ Motivational Strategies
(The British University in Dubai (BUiD), 2023-07-20) ABBAS, SHEHAB A. R.
Motivation is a key element in the process of L2 learning. This leads many researchers to investigate the students' motivational factors, teachers' motivational strategies, students' perceptions about their teachers' strategies, and what strategies students use to maintain their L2 learning motivation insides and outside the classroom. The literature reveals that many studies explored students’ perceptions regarding their motivational factors for learning English but rarely tackled both students’ and teachers’ perceptions regarding students’ motivational components and the motivational strategies which teachers use to maintain or boost students’ English learning motivation. This study explores students' motivational factors and what approaches students use to maintain their motivation. Besides, it will explore EFL teachers’ and students’ views about motivational strategies used in Abu Dhabi EFL classrooms in order to investigate potential mismatches. Collecting qualitative and quantitative data adopted a mixed-method approach which was carried out in the academic context of three campuses in one of Abu-Dhabi's private colleges. This involved first the administration of a questionnaire to teachers and students. Second, six EFL teachers and six EFL students were in-depth interviewed individually for the purpose of exploring further those essential issues which might be revealed from both teachers and students' personal opinions in regard to motivational factors in learning the language along with those that might be shown in respect to teachers and students' viewpoint relating to the strategies adopted by teachers for motivating their students. Findings reveal that students have average interest and motivation to learn English. Besides, their motivation is mostly instrumental i.e., future career, academic study, and travelling. In addition, there are discrepancies between students and teachers’ perceptions of the important motivational strategies which should be used by teachers to boost students’ motivation to learn English. The findings will help teachers focus more on their students’ motivational factors; and consequently, they will help in tailoring their classes in a way which will be more motivating for the learners. Moreover, by having a clear picture of students’ perceptions of the motivational strategies used in classroom, teachers will have more awareness of the motivational strategies used in their classes. Moreover, policy makers of English language teaching in the UAE will get a good picture about how things go with college students regarding English language learning.
Linkage Between Maintenance management, Enterprise Risk Management and Organizational Performance
(The British University in Dubai (BUiD), 2023-03) ALEASSA, MOHAMMAD
The purpose of this study was to investigate the impact of maintenance management on organizational performance, with the mediation effect of enterprise risk management. The research problem addressed was the need to understand how maintenance management and enterprise risk management are interrelated and how they affect organizational performance. The basic design of the study involved a literature review and empirical research using survey data. Major findings indicated that maintenance management has a positive impact on organizational performance, with almost 46% of the variation predicted. Preventive maintenance was found to have a positive impact on company efficiency and competitiveness. Enterprise risk management was found to mediate the relationship between maintenance management and organizational performance, with more than 58% of variation in organizational performance being recorded. The study concluded that maintenance management plays a crucial role in improving organizational performance, and that enterprise risk management is dependent on maintenance management. This study provides evidence for the validation of scales related to maintenance and enterprise risk management, and organizational performance, contributing to the literature on organizational performance.
Evaluation of I4.0 Technologies adoption approaches within the SMEs operations based on Multi-Criteria Analysis
(The British University in Dubai (BUiD), 2023-03) ABU-LAIL, DAREEN
With the introduction of business intelligence and the necessity to make informed and data-driven decisions. It is becoming a challenge for the decision makers and researchers to integrate data science into day to day operations and the decision making process. More specifically, one of the main impacted stakeholders in the business area are the Small Medium Enterprises (SMEs) who are struggling to catch up with the digital transformation that big companies are leading in for several technological, organizational and environmental factors. This study comes as a solution to propose a decision-making model specified for the challenges and SMEs context to make digital transformation efforts with the focus on I4.0 technological adoption approaches. So far, no research has given a methodology for comparing I4.0 technology adoption options within the SMEs sector in order to determine the optimum strategy that may be recommended to SMEs decision makers. The process of analyzing and comparing I4.0 technical methods for SMEs is known as Multi-Criteria Decision-Making (MCDM). The Fuzzy Decision by Opinion Score (FDOSM) and Fuzzy-Weighted Zero-Inconsistency (FWZIC) Method are two of the most preferred MCDM ranking methods. The FDOSM was designed to function in a variety of fuzzy set contexts to cope with the ambiguity and uncertainty caused by the fact that expert input is subjective. (FWZIC) Method for determining criterion weight coefficients with zero consistency. To calculate its relevance level in the decision-making process, this technique relies on variances in expert preference per criteria. This study has used FWZIC and FDOSM to provide and overall evaluation for I4.0 technological adoption approaches and to assess the top five ranked adoption approaches against the Innovation Process Framework that consists of the Technological, Organizational and Environmental aspects (TOE). Prior to this application the research gap was identified and the benchmarking framework requirements were developed to decide on the best MCDM methods. The study consists of three main components. The application of FWZIC on the I4.0 technologies as criteria then benchmark the I4.0 adoption approaches to come up with the top five best adoption approaches for I4.0 within the SMEs using FDOSM and finally to apply FWZIC on the innovative TOE framework and evaluate the top five ranked approaches in relation to the TOE framework established weights. Decision matrices were developed along with the weighted matrices and the final phase resulted in formulation with two different weighting matrices using FWZIC and an evaluation framework according to MCDM analysis using the FDOSM application. An application of evaluation and validation using benchmarking framework analysis, and systematic ranking was applied in order to ensure a validated framework.