Dissertations for Engineering Management (EM)

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A Research Study on the Effect of eLearning Platforms on Employee: Employee Participation, Job Satisfaction, Employee Commitment and Employee Productivity in UAE
(The British University in Dubai (BUiD), 2023-06) ALHANAEE, AWAD JUMA; Dr Sa'ed Salhieh
Purpose The main objective of this paper is to investigate the effect of eLearning over employee engagement, job satisfaction, employee commitment and employee productivity in medium and large firms in UAE. This study's proposed questionnaire underwent pilot tests to ensure the questionnaire's validity, terms, relevance, and suitability for the target group. A final sample of 97 participants was studied after excluding cases with unsuitable responses. Results prove a significant positive relationship between eLearning and job satisfaction, employee engagement, employee commitment and employee productivity. Therefore, it is quantitatively and theoretically proven that eLearning has a positive effect on above mentioned dependent variables. Using correlation and regression analysis via SPSS to understand the relationship between independent and dependent variables. The results have been validated using Cronbach Alpha and existing literature review. The information obtained from this paper will help organizations obtain the best eLearning practices and employ the best eLearning platform and module for their employees. Also, it would add additional value to existing literature and close the current gaps related to eLearning and how it would affect professional development. Design/methodology/approach/Findings This paper aims to examine possible relationship between eLearning and employee participation, job satisfaction, employee commitment and employee productivity in medium and large size firms throughout qualitative research (a survey) using statistical analyzing method SPSS. The findings of the research prove a positive relationship between eLearning and employee participation, job satisfaction, employee commitment and employee productivity, where implementing eLearning programs at workplace increases employee participation, job satisfaction, employee commitment and employee productivity. The information obtained from survey can be used to improve the quality of existing eLearning modules or to prove the importance of eLearning and its effect on professional development. Research limitations/ implication Since employee requires continual learning and improvement in a variety of areas, this research will aid in understanding how an eLearning platform would affect employees in general organizations. Additionally, management and other stakeholders would benefit from an understanding of current practices and how it would benefit their staff members professionally. Originality/ value There is a non - availability of research in this area, particularly in the United Arab Emirates, according to a review of various literature on eLearning platforms and employee engagement, job satisfaction, employee commitment, and employee productivity. Understanding current practices and how it would help their staff members professionally will benefit management and other stakeholders in UAE. Keywords: eLearning, Employee Engagement, Job satisfaction, Job Commitment, Employee performance, United Arab Emirates
Analysis of Synergy of Information Technology and Engineering Departments in a Telecommunication Company in United Arab Emirates and Middle East
(The British University in Dubai (BUiD), 2023-10) ALMUHIRI, RASHID; Professor Alaa Ameer
The following research is an investigation of the dynamic interplay between Information Technology (IT) and Engineering departments of a well-known telecommunication company from the United Arab Emirates and the Middle East. The main focus of this study is on increasing organizational efficiency, employee motivation, and cost-effectiveness, and thus the study delves into the consequences of integrating these departments. The objective of this study is to reveal the links between the synergy between IT and Engineering departments and important organizational factors, comprising of approval processes, employee motivation, and outdated interfaces costs. It aims to deliver actionable insights for telecommunication companies targeting optimization of their operations. Quantitative research approach was adopted for the study. The findings support that merging of the two departments significantly enhances efficiency of approval processes, streamlines workflows, reduces delays, and improves overall coordination. Positive link between departmental merger and heightened employee motivation is observed. It furthermore reveals mitigation of costs linked with outdated interfaces through proactive technology adoption. The study can help guide organizations to gain a competitive edge, optimize operations, and enhance customer satisfaction. This study informs a path that leads to organizational efficiency, competitiveness, and strategic integration.
An Analysis of the Forces Influencing the Implementation of Artificial Intelligence in the Intellectual Property Sector in UAE
(The British University in Dubai (BUiD), 2021-06) AL YAZEEDI, ABDULLA MOHAMED
The study at hand considers the way in which the potential for the integration of Artificial Intelligence (AI) is increasing in the current paradigm of social and economic change. This paper will consider the various dimensions of this proposed move of automating government services as witnessed through the signing of Memorandum with the South Korean government who will help to facilitate this move. Thus, the core aim is to uncover the various ways in which AI integration into the Intellectual Property mechanisms in UAE can cause massive shifts in terms of intellectual property management and innovation in general. The research objectives sought to identify the forces that will drive or restrain the implementation of Artificial Intelligence in the Intellectual Property Sector. This research used the force field analysis method to identify the forces using a questionnaire specifically for the users of IP services and relied on personal interviews with selected employees within the IP department. From the findings of the study, it is apparent that the integration of AI into IP management has the potential to improve efficiency of dealing with applications and improving the overall rapidity with which applications are processed, it also revealed cultural and traditional methods of management are seen as the restraining forces whereas the driving forces were the continued support from the government to include AI into the workplaces and aim of having a technological skilled employee. Thus, this study has the potential of revealing important factors that needed to be addressed before the implementation of AI in an organization. Moreover, the study will also consider the intricate possibilities that are apparent in case of developing and furthering innovation potential in the country, specifically through the various ways in which AI can enable easier and more systematic application processing.
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
(The British University in Dubai (BUiD), 2019-11) Alkhatib, Osama
Predictive maintenance of Electronic Toll Collection System is a major subject in traffic engineering due to the complexity of the system and the difficulty of predicting the components failures. Two types of machine learning models namely classification and regression model were developed and implemented to predict the failure and abnormal behavior of the system. Nevertheless, the accuracy and performance of these models are questioned since they do not account for other system information. Therefore, for this paper multiple machine learning algorithms are investigated to predict system failure based on vehicle trips information as well as maintenance management historical data including preventive maintenance and corrective maintenance. Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. Based on the experimental results, the predictions can be made to detect failure and forecast traffic amount. The models presented prove that data analytics can create new value in an ETC environment. The methods and tools used for modeling the prediction model can be generalized to be used in the rest of the ETC system also. As the amount of data grows daily, the model can be trained with more and more data as time passes. Therefore, the model can be re-generated from time to time to gain better results. There are no previous papers or literature reviews on applying artificial intelligence in predictive maintenance for Electronic Toll Collection failure forecast to perform a comparison of the effectiveness of Machine Learning Models. Despite having different performance results on predicting failures, most of the models produced close outcomes. Meaning no “perfect” machine learning algorithm that will produce good results at particular problem, in fact for each type of problem a specific algorithm is suited and might achieves good outcome, while another algorithm fails heavily. In addition, it relates to a great extent on the nature of dataset and the aim of model development.
Barriers of Additive Manufacturing Adoption in United Arab Emirates Automotive Supply Chain
(The British University in Dubai (BUiD), 2023-11) ALI, ASMA ALI ABDULLA; Dr Sa'Ed Salheih
The United Arab Emirates (UAE) is one of the leading countries, in the Middle East, for Additive Manufacturing (AM). The UAE government is strongly focusing on fostering innovation within the automotive supply chain of the country. AM offers a tremendous opportunity by improving adaptability and efficiency of the supply chain such as reducing lead times, decreasing the dependence on foreign suppliers, and promoting sustainability in manufacturing processes. The study used a mixed method approach to determine the interrelationship between the barriers and to prioritize them with respect to one another. 11 critical barriers were identified through comprehensive literature review analysis and were modeled using ISM-MICMAC and ANP analysis with opinions gathered from industry experts. The study represents that Lack of standardization, skilled labor shortage, and limited availability of raw materials are the important barriers in the AM adoption. The ISM analysis represented the qualitative classification of barriers levels depending on their influence and interdependence, whereas the ANP analysis provided a quantitative validation for the findings. The results of this study are beneficial in providing insights of AM adoption and the unique obstacles encountered in the UAE automotive supply chain. It also assists the decision makers and automotive industry professionals to strategically implement additive manufacturing initiatives to overcome these barriers.
Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
(The British University in Dubai (BUiD), 2023-10) ALKAABI, ABDULLA; Dr Gul Ahmed
Engineering construction projects using AI technologies create obstacles. Barriers prevent AI integration in construction. Insufficient knowledge and understanding of AI, data management and integration issues, legal and regulatory hurdles, financial considerations, reluctance to change, and interoperability issues all hinder AI system adoption and implementation. First, many engineering and construction specialists may not understand or use artificial intelligence. The situation may cause concern and trepidation about integrating AI technologies and lack understanding of their optimal deployment and operation. Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. AI technologies often struggle with construction data's fragmentation, inconsistency, and confidentiality. AI technologies may also face regulatory and legal hurdles related to data confidentiality, protection, and property rights. These issues may limit AI tool use or increase legal liability, hindering adoption. Integrating AI technology may be costly, especially for smaller companies with limited funds. Hardware, software, and training costs may prevent certain construction businesses from using AI solutions. Industry culture and change aversion may slow AI tool adoption. Conventional attitudes, fear of termination, and reluctance to change processes may hinder AI adoption in construction workflows. Finally, interoperability and integration issues may hinder AI adoption. Incorporating AI into pre-existing software, systems, and processes may require significant effort and tailoring, and compatibility issues may hinder the easy integration of AI utilities into building projects.
Barriers to Using Shared Mobility Electric-Scooters in Dubai: The DEMATEL Approach
(The British University in Dubai (BUiD), 2024-03) ALMARRI, HESSA MARWAN; Dr Sa'Ed Salhieh
This study investigates barriers to the widespread adoption of shared mobility electric scooters (e-scooters) in Dubai. Using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, the research identifies key obstacles such as weather conditions, safety concerns, limited availability, and service coverage. Expert opinions validate the findings, emphasising the need to address these barriers to enhance e-scooter acceptance and usage in the city. Keywords: electronic-scooter, barriers, shared mobility, DEMATEL
Challenges and Motivators associated with treated wastewater reuse in the United Arab Emirates
(The British University in Dubai (BUiD), 2023-06) ALSHAMSI, FATMA; Dr Sa’Ed Salhieh
Fresh water resources are very limited in the United Arab Emirates, due to natural factors such as non-availability of fresh surface water streams, rare rainfall and climate change in addition to human related factors including extreme withdrawal of groundwater, high consumption rate and economic and industrial development. During the past decades, UAE suffered from depletion of freshwater resources, increase in groundwater salt content and deterioration in ground water quality. As a result, the conversion towards nonconventional water resources was necessary, where UAE mainly depends on desalination. Wastewater is considered a valuable non-conventional source of interest in the United Arab Emirates. The aim of this paper is to identify the most important challenges and motivators associated with treated wastewater reuse in the context of UAE. The study also aims to categorize the identified factors into cause and effect group, the understanding of relation among set of factors in important for better solution approach, such the focus on because group will improve both causes and effects factors. The Methodology followed to analyze the data is DEMATEL method. Where literature review was first done to identify the list of challenges and motivators of treated wastewater reuse. The identified factors were presented to experts in wastewater management in UAE for their evaluation. The evaluations were arranged in a matrix and the DEMATEL analysis finding was as follows: For challenges: The limited commercial development of reclaimed water was found to be the most important factor and Citizen’s reluctance to pay for wastewater systems is the least important challenge. For motivators: Political dimension and leadership support was found to be the most important driver of wastewater reuse in UAE, and considering treated wastewater as Precautionary measure during emergency cases is the least important factor among motivators. The recommendations focused on the top five factors of each group and the five most important factors in the cause category. The identification and grouping of these challenges and motivators is expected to add valuable information to literature relative to the subject of the study.
Critical Success Factors for Implementing Off-Site Modular Construction projects in UAE: A Fuzzy DEMATEL Approach
(The British University in Dubai (BUiD), 2022-11) EL KHATIB, AHMAD TAHA
Offsite Modular Construction, have started gaining popularity in the middle east in the last few years as it is seen to improve quality, reduce construction time and reduce safety related accidents. This research studied and found the influence and relationship between different critical success factors related to the implementation of offsite construction. the research first identified Critical Success Factors (CSFs) from literature review, then grouping the factors into Principal Success Factors (PSFs) using the affinity diagram method through consulting offsite modular construction experts. A survey found the ranking of the critical success factor and the DEMATEL (Decision Making Trial and Evaluation Laboratory), which is Multi-Criteria Decision Making (MCDM) method, was used with fuzzy set theory methods for finding the causes, effects and influences between the different PSFs to assist executives in taking strategic high level decisions. Fuzzy-DEMATEL was also used for finding the causes, effects and influences between the CSFs which would help project managers and professionals in taking project level decision. After analyzing the data to find the causes, effects and relationships between the different factors, the results of the study found that 5 PSFs and 15 CSFs were causes while 2 PSFs and 10 CSFs were effects. This approach can be considered for future and more extensive research on this subject.
Developing a Fragility Framework for Supply Chain and Outsourcing Engineering Services in UAE
(The British University in Dubai (BUiD), 2019-11) Ababneh, Thamer
This research analyzes the risk and fragility factors which are affecting the outsourcing services in the UAE market concentrating on the risk events and its impacts on fragility. Different organizations have different needs or factors that drive their decision related to outsourcing. The research aimed to analyze the risks which affect the implementation of outsourcing and to identify the characteristics to build a fragility framework for the outsourcing of engineering services. The analyses were carried out based on process, people, systems, and external factors and attempted to specify the risk events that influence on outsourcing fragility and develop the outsourcing fragility framework for engineering services enterprises. This framework can be utilized by the company decision-makers to manage fragility as well as deal with the various risk events, both pre and post outsourcing decisions. Results showing how main risk factors influence the risk and fragility and assist firms where to focus when outsourcing needs to be decided or improved to avoid threats, harm reputation or financial loss, etc. The research findings showed that if companies can develop a strategy for outsourcing that addressed the limitation and challenges, the firms can get many benefits that come with outsourcing. Firms can save on time, get an enhanced quality of product, save cost, and gain performance enhancements that can provide the firms with the flexibility and capability to get better projects. There is potential to researchers to find how to minimize the risks and fragility to improve the supply chain and firms to decide for outsourcing their services with higher quality and less cost. Researchers can focus for specific industry for more coherent analysis and find relation between fragility and resilience.
Effect of Customer Service Modernization on Customer Satisfaction in Shell Petrol Stations in Oman
(The British University in Dubai (BUiD), 2023-02) AL BALUSHI, TALAL
Customer service modernization is a critical success factor for energy service sector companies. Influencing positive customer experience is essential for enterprises operating in this area since energy sector depends on high quality customer service delivery to influence competitive market advantage. The study determines the effect of customer service modernization on customer satisfaction in Shell petrol stations in Oman to examine the effect of service visibility, service reliability, service effectiveness and efficiency, and service customization on customer satisfaction. The research adopted a descriptive research design and a population of customers who fuel at Shell petrol stations in Oman. A sample comprising 196 customers were recruited using simple random sampling. Online semi-structured questionnaires were used to collect the primary data. Multiple regression and correlation tests were inferential statistics reported. The results reveal service visibility positively and significantly affects customer satisfaction (β1 = 0.40; p < 0.05). Service reliability positively and significantly affects customer satisfaction (β2 = 0.267; p < 0.05). Service effectiveness and efficiency positively and significantly affects customer satisfaction (β3 = 0.169; p < 0.05). Service customization positively and significantly affects customer satisfaction (β4 = 0.124; p < 0.05). Shell stations to promote customer satisfaction through quality service delivery.
The Effectiveness of Leadership Style and Employee Skills Development on Customer Satisfaction and Brand Loyalty, Case Study: Emirates Airlines
(The British University in Dubai (BUiD), 2023-04) BITAR, TONY NABEH
The research is aimed at detailing and understanding the effectiveness of the leadership style and employee’s skills development in Emirates Airlines company and seeks to understand the connection between it, customer satisfaction and brand loyalty. This research study has considered analysing the factors that are influencing customers satisfaction and includes a detailed literature review section, in which different concepts regarding employee’s skills development and leadership styles have been provided. In the methodology section, the methods that have been used in the research study for collecting and analysing the collected information have been analysed to determine the ways the research study has been carried out to ensure reliability of the findings. In the findings and discussion section, the reasons behind the customer satisfaction with the organisation have been analysed for gaining a clear understanding of the strategies to be adopted to gain their brand loyalty, while continuing with innovation to manage competitive advantage of the organisation. The findings represent that the customers are more satisfied when the employees are well trained and highly qualified in providing a high-quality service. In addition, to the positive effect on their loyalty to the brand of Emirates airlines
The Effectiveness of Technological Innovations on Customers Satisfaction & their Behavioural Intention at Airports, Case Study: Dubai International Airport
(The British University in Dubai (BUiD), 2018-09) EL NAJJAR, MOHAMAD HOUSSAM
The research study concentrated on understanding the effect of using technological innovations at airports and aims to recognize the relationship between technological innovations, customers’ satisfaction and their behavioural intention toward the airports. The expected results of the research were to enhance the understanding and the readiness of airports management in all over the world to use technological innovations and their impacts on the airports performance in general. On other hand, the research is expected to clarify to airports managers the opportunities to create a stable successful performance and business in this environment. A case from Dubai International Airport was selected for this research study and a total of 269 questionnaires were gained from the passengers who had the experience of a flight through Dubai International Airport. A total of 15 samples sere defused from the population, and a total of 254 samples were returned and were useful. Many appropriate statistical methods were used to analyze the data gained, in which they show an objective and valid conclusion. The findings show that the passengers are more satisfied when services are provided by technological innovations. In addition to the positive behavioural intention of passengers toward the airport generated as a result. The study comprehensively reviews and identifies the factors perceptual correlates that are unique to the airport growth.
Electrical Power Transformer Health Condition Assessment Using Health Index Model
(The British University in Dubai (BUiD), 2023-06) ALASHI, LUBNA; Professor Alaa A-Ameer
Power Transformer is the principal to preserve Transmission network operation and is required to ensure the stability of the power grid. Over time, Power Transformer is degrading, and it is essential to assess its condition to avoid system interruptions and breakdowns. Moreover, condition evaluation may help to regularly revise and adjust the maintenance strategy to effectively optimize the recourses used with respect to the desired quality. Health Index formulation is one of the effective models to evaluate the asset condition. It comprises a series of evaluation parameters combined into a single value to indicate the health index from different aspects for the best asset management planning. This study aims to develop a Health Index model for Power Transformers based on the most suitable parameters. Furthermore, the research will propose a decision-making Flow Chart for the maintenance requirements and determining the remaining life. The major parameters selected in this research are electrical and laboratory tests, location, age, and site observations. Basically, the existing methods of Health Index are usually a combination of experts’ knowledge and data-driven. Therefore, the method used in this research is the scoring and weighting method to evaluate the parameters using experts’ experience, international standards, and previous studies. The data is collected based on a real case study of Three Power Transformers in the Middle East region. Further, a Flow Chart diagram is established to make a decision on the most appropriate maintenance requirement needed for each Power Transformer. After that, the remaining expected life is also determined. The findings of the Three Power Transformers states are Good, close to Fair, and close to Poor. Accordingly, further enhancement is required for the two Power Transformers by adjusting the maintenance plan and continuously monitoring their condition. A replacement plan should also be prepared as both Power Transformers' end of life are less than Ten years. In conclusion, the key factor in establishing a successful Health Index model is selecting realistic and suitable parameters, scores and weight.
Employee Reward as Moderator in The Relationship Between Transformational Leadership Style on Employee Motivation in Construction Organisations in UAE
(The British University in Dubai (BUiD), 2022-09) ABULAWI, RAKAN HAKEM HASAN
This study aims to investigate the moderating effects of extrinsic and intrinsic employee rewards on the relationship between transformational leadership style and employee motivation in construction organisations in the UAE. The data were collected through a questionnaire distributed among the employees of different construction organisations in UAE to investigate their opinions. The data collected from 144 employees were analysed using a combination of inferential and descriptive statistics. All of the statistical analyses were performed using IBM's SPSS 28 statistical package. The study findings revealed a significant positive relationship between intrinsic and extrinsic employee rewards and employee motivation for construction sector workers in UAE. Also, the study’s results suggest that there is not enough evidence supporting the notion that the presence or absence of intrinsic and extrinsic rewards affect the impact of transformational leadership style on employee motivation for construction employees in UAE. The study's findings were compared with those of previous research. The study's limitations and the theoretical and practical implications of the findings were acknowledged. Moreover, the study's findings are expected to help develop a comprehensive understanding of the relationship between employee rewards, transformational leadership style and the motivation of construction employees in UAE.
Enhancing the construction innovation practices
(The British University in Dubai (BUiD), 2020-12) AL SHAHER, BASSEL
This research aims to investigate the impact of planning on construction projects duration in Dubai. The primary data has been gathered through a questionnaire which was distributed among the project managers of different construction companies of Dubai (UAE) to investigate their opinions. The secondary data has been presented in the literature review which has been gathered from books, reports, and academic journals. The analysis of the correlation has been provided to understand the relationship among the independent and dependent variables of the research. The conclusion has been drawn at the end, and suitable recommendations have been provided for project managers of construction companies.
Enhancing the construction innovation practices using exploratory project to overcome construction innovation’s obstacle and improve the project performance
(The British University in Dubai (BUiD), 2019-11) SAYYED, YAZAN
Even though the field of construction occupies a privileged place in a country’s economy, the innovation in the construction industry is suffering due to the low quality and slow growth comparing to other industries. Taking into account the role of innovation to succeed in a fast changing and extremely competitive market which highlights the high importance of innovation in the construction market for development and better opportunities. Hence, this research is investigating the reasons behind the backward of innovation in the construction industry and to propose solutions to reduce this gap. After intensive research, a gap has been noticed on the effect of level of innovation and procurement management on the construction project innovation. Accordingly, the role of construction projects’ obstacles and its effect in improving the exploratory project innovation and performance has not been studied before which provides a uniqueness to this research. To achieve this research goals, the impact on the projects’ performance will be studied in relation between the exploratory project’s level of innovation and procurement management type in construction projects (one of construction innovation obstacles) as well as the impact on each other. In order to validate these objectives, a quantitative method is followed based on data collected by a survey filled by professionals in the construction industry. The data collected were valid and reliable as proved by Cronbach and Spearman tests. The process of analyzing the data confirmed that there is a strong positive relation among the exploratory project’s level of innovation, collaborative procurement management, and project performance. Furthermore, the analysis indicated the role of procurement management as a moderator between the level of innovation and the performance.
Establishing A Guideline and Decision-Making Approach For UAE Solar Assets Waste Management By Utilising PVsyst
(The British University in Dubai (BUiD), 2023-06) AL-ALI, AMEL; Professor Alaa A-Ameer
As the number of solar panel installations increases, the amount of discarded panels is also expected to escalate to an estimated 60 million tons by 2050, assuming a lifespan of 20-30 years for the panels. It is a newly declared global concern for the need to manage this new technology waste. End-of-life solar panels contain valuable components, but there currently needs to be globally documented guidelines in place to manage this type of waste efficiently. This paper studies solar PV waste in relation to EOL end-of-life management of PV assets installed in a solar park in the United Arab Emirates. Given the specific research limitations in implementing the proposed methodologies, the researcher conducted a comparative analysis by studying four different climatic regions: the UAE, Canada, India, and Norway, to bridge the gap and reinforce the validity of the results. The lack of comprehensive global guidelines and frameworks that guide decision-making regarding photovoltaic (PV) panel waste disposal and insufficient research on managing such waste are the driving forces behind this study. The study aims to address this gap by identifying the factors that affect the performance and efficiency of photovoltaic energy systems, specifically in the United Arab Emirates, a country known for its extremely hot and dry climate, and to develop assessment approaches and guidelines. PVsyst simulation software has been used for system performance analysis and to support decision-making by examining specially designed technical flow charts. The PV panels' basic performance-related parameters and meteorological information were identified as essential elements for evaluating the overall performance. The study also identified the primary tools for making end-of-life (EOL) decisions. The results revealed that the photovoltaic system in the UAE solar park completed its end-of-life with a PR ratio of 80% sooner than expected, with 22 years compared to the 25 years predicted by the manufacturer. This leads to the conclusion that installing PV panels in hot climate regions accelerates the deterioration of PV panels. India, a country with very hot and rainy weather, also backed up these assumptions by reaching an 80.8% PR in 22 years. The study provides a clear understanding of the factors that must be considered when deciding where to install solar panels due to their impact on the efficiency and health of the panels, and the conditions that cause PV systems to fail earlier than expected, thus introducing more waste to the environment.
Factors Influencing Construction Waste Generation in Building Construction: A Case of UAE
(The British University in Dubai (BUiD), 2023-06) ALMIDAMAH, ENTESAR
In this research, an extensive examination was carried out, investigating the issue of construction waste production in the United Arab Emirates (UAE). This issue is of particular importance considering the high-speed urban development and extensive construction activities occurring within the country. A comprehensive understanding of construction waste, its origins, and implications on environmental stability and societal prosperity is imperative. The central insight from this investigation is that the production of construction waste is a layered issue, influenced by numerous interrelated elements. The method of study was quantitative, aimed at pinpointing these elements and determining their impacts. Data was amassed via a survey and processed using statistical methodologies like Cronbach's alpha and regression analysis. Crucial contributors to construction waste in the UAE were identified as sub-optimal design and planning procedures, antiquated construction techniques, subpar materials, and inadequate storage approaches. Furthermore, the study unearthed those issues within site management such as poor waste segregation, lack of planning, and incorrect material manipulation substantially add to the problem. Deficiencies in stringent waste management rules and enforcement within UAE's regulatory framework also fuel waste production. Unique attributes of the UAE, such as fast-paced construction, large-scale projects, local environmental conditions, and cultural nuances, intensify waste production. The findings emphasize the urgent need for an all-encompassing strategy for managing construction waste in the UAE. Any devised strategies need to address a variety of challenges, from design and planning processes to site management, all the way to regulatory enforcement. A crucial element of the study was also the highlighting of the need for industry-wide awareness and education to foster a mindset of waste reduction. This research paves the way for future investigations into managing construction waste, offering potential focus areas such as the influence of technological advancements, cultural and environmental factors unique to the UAE, policy interventions, and the role of private sectors in minimizing waste. The study further suggests an exploration into construction waste within the parameters of circular economy concepts as a novel path to sustainable construction. This study provides an in-depth understanding of construction waste generation in the UAE, paving the way for more efficient and sustainable practices in the industry. It offers valuable insights for stakeholders, policymakers, and researchers seeking to tackle this critical issue, ultimately contributing to a more sustainable construction sector in the UAE.
Factors Influencing the Adoption and Implementation of Predictive Maintenance Technologies in Organizations
(The British University in Dubai (BUiD), 2023-08) Alnashwan, Mohammed; Dr Sa'ed Salhieh
Significant research has explored the numerous advantages of predictive maintenance technologies. In today's Industry 4.0 era, organizations, especially in the manufacturing sector, are increasingly adopting predictive maintenance practices and technologies to forecast equipment failure enabling them to proactive maintain manufacturing and processing tasks and activities. Predictive maintenance technologies enable organizations to meet their production costs as well as product quality and quantity objectives. Accordingly, studies have associated predictive maintenance technologies and practices with the capabilities of improving organizational performance in the economic, ecological/environmental, and social dimensions. However, despite the numerous advantages, many organizations have not leveraged these technologies due to various organizational, financial, and human-related barriers. As a result, drawing from relevant literature and the data from the Abu Dhabi National Oil Company (ADNOC), the study will explore the factors that influence the adoption of predictive maintenance technologies, the consequent impact on organizational performance and provide suggestions for businesses looking to adopt and use these technologies. In a questionnaire conducted with 108 respondents from different companies in the UAE, relevant insights are found pertaining to the factors that influence the adoption and implementation of predictive maintenance technologies in organizations. One of the most important factors reported by participants in this study is the user perception factor, which reflects important perceptions about the implementation of specific technologies to improve organizational performance. Another relevant factor discussed in the study is the job effectiveness factor.

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