The research examines how Information and Communication Technology (ICT) and Total Quality Management (TQM) practices affect operational efficiency in the UAE oil and gas industry. The UAE's oil and gas sector needs to enhance productivity while achieving sustainability goals because of rising global energy needs and strict environmental mandates and market risk factors. The examined effects of ICT and TQM on operational efficiency used quantitative data gathered from 100 professionals through a cross-sectional survey to conduct regression analysis. The analysis demonstrates that ICT directly and positively affects efficiency, enabled by AI, IoT, and cloud computing systems for real-time management decisions. TQM practices implementing continuous improvement, employee participation, and top management commitment yield the most powerful influence. Combined, ICT and TQM account for 75.6% of the variance in operational efficiency. Obstacles include organizational resistance to change, lack of qualified professionals, and integration challenges. The study provides essential insights for industrial leaders and policymakers to enhance the UAE’s position in the global energy market.

The dissertation provides a comprehensive investigation and detailed analysis of the intrinsic motivation and EM from a broader perspective of different industrial domains in the United Arab Emirates. Through quantitative survey questionnaires with professionals in different industries, the study examines how these variables affect Job satisfaction, motivation, and output. The literature investigates and examines renowned ideas such as SDT. Other theories include the Two-Factor Theory presented by Herzberg and the Hierarchy of Needs theory presented by Maslow. The provided conclusion of the study showcases that WLB, supportive leadership, and both internal and external motivators significantly boost motivation. Using a quantitative research approach. The results of the research were gathered from 200 respondents in order to examine the dataset using descriptive statistics. The examination also consists of correlation and regression analysis. The results indicate that intrinsic factors such as autonomy, career advancement, and meaningful work, along with extrinsic factors like financial incentives and recognition, significantly influence job satisfaction. After that, the extrinsic factors including financial incentives, leadership support, and recognition have a significant impact on the job. The results help organizations create strategies to cultivate a motivated staff, which boosts productivity and worker satisfaction. The dissertation also provides comprehensive and detailed implications for management. The results of the dissertation further provide suggestions for further research.

The rapid shift to hybrid work accelerated by the COVID-19 pandemic has fundamentally transformed organizational dynamics highlighting the need for innovation leadership in distributed environments. This paper addresses the evolving challenges of managing innovation in hybrid settings where traditional frameworks often fall short due to their reliance on co-located teams. The objective is to critically evaluate existing innovation frameworks and leadership models, identifying their limitations in hybrid contexts and propose a new hybrid-optimized innovation leadership framework. Through secondary research and a comprehensive literature review, this study synthesizes relevant academic and industry insights including perspectives on transformational, servant and digital leadership as well as innovation models such as Doblin’s Ten Types of Innovation and Open Innovation. The Hybrid Innovation Alignment Model (HIAM) is introduced, focusing on six guiding principles trust-based autonomy, digital inclusion, asynchronous collaboration, psychological safety, purpose-driven connectivity, and adaptive leadership. Key findings indicate that a hybrid-specific framework can foster innovation by integrating digital tools and adaptive leadership styles, while supporting asynchronous workflows and remote collaboration. This paper contributes both theoretically and practically by offering a flexible framework for hybrid teams, enhancing innovation processes and leadership effectiveness in increasingly distributed work environments.

The toll gate system of Salik was launched by RTA (Roads and Transport Authority) in Dubai, it is the main key component in addressing the traffic congestion, improving mobility, and fund infrastructure projects within the city. This operation research paper will be evaluating the effectiveness of Salik system’s in achieving these goals and look at its broader economic, social and environmental impacts by using secondary data collection. The entity was able to significantly reduce congestion on one of the major highways, such as the Sheikh Zayed Road by effectively utilizing electronic toll collection (ETC) technology. This system generated a massive revenue which contributed to the development of the city. However, it also presented challenges and concerns towards its social equity, as citizens with lower income who are forced to pass through Salik toll gates are the ones who are affected significantly. This paper will also examine the environmental effects of the company, focusing on both its positive contribution in emission reduction and the increase in environmental footprint due to its involvement in Dubai infrastructure. Moreover, further exploration will be looked at in Salik system’s technology, reviewing its operational efficiency and the possibility to integrate it to future innovations such as smart city technologies and dynamic toll pricing. This study will be concluded with key recommendations for the company system improvements, which focuses on sustainability and technology advancement. This ensures the continuous improvement to Dubai’s long term transportational goals and become one of the leading role models for future tolling systems.

The discussions around the benefits of implementing artificial intelligence or AI have been quite lively today. AI has been benefiting organizations with increased efficiencies, enhanced decision-making, cost reductions, and improved consumer experiences. Rather, it has been opening newer opportunities day by day. However, AI implementation across organizations has never been an easy job. The contribution of AI in strategic change management within organizations, however, is meeting several challenges. Employees within an organization resist technological adaptations due to the fear of losing their jobs. Some are under the threat that they are unfamiliar with the technology, and this could severely impact their growth in the organization. A few challenges are ethical and privacy concerns, integrating AI with the current organizational system, skill gaps, and understanding what its capabilities and limitations are. In this paper, the researchers discuss AI’s role in driving strategic change management. They are curious to understand how AI entered the organizational realm and is driving an impressive change in management culture. The researchers of this present study believe that this piece of work will serve as a basis for the upcoming researchers in understanding how AI is supporting ethical and sustainable organizational practices.

This paper evaluates the impact of innovation on the sustainability of elec-tric vehicles (EVs) in the transportation industry. It does this by analyzing the development of new electric vehicle (EV) batteries, the improvement in charging stations, the aesthetics of cars, the construction of smart grids, and the effects of consumers and the production processes of EVs. This research utilizes a quantitative method based on a survey that was conducted with participants working in the EV manufacturing industry of the UAE. It has been found that the use of technological handicrafts makes a considerable contribution to the improvement of EV sustainability through greater energy efficiency, reduction of damaging impacts to the environment, and with the range of consumer issues in terms of range or charging skepticism. Fur-thermore, as the critical adopting, the emerging innovations, and the policy emersion that needs to be controlled, public-private partnerships appear to be essential. The study makes practical recommendations to government and business leaders and underlines the importance of putting more focus on financing activities such as R&D, promoting infrastructure, building awareness among consumers about electric vehicles, and strengthening global sustainability objectives. These results highlight the importance of the interdependence of technology, policy, business, and other social factors on the development of sustainable transportation (Alanazi, 2023).

Businesses need to integrate workforce training, employee health, and leadership development into a single cohesive strategy in order to be sustainable. With the evolution of business and competition, leadership and retention of people has become much more important. This study helps fill the gap in planning for succession, employee mental health, performance management, and overall resilience of the organization. Using a mixed-methods approach this study relies on particular theories like Herzberg’s Two-Factor Theory along with the McKinsey 7-S Framework, which offers solid analytical underpinning, qualitative literature reviews were conducted together with quantitative data from 120 survey responses collected from various sectors in UAE, reflecting on the results, these components should have a strategic coherance to be retained for further growth. Other orders were successfully completed as well. Advanced succession planning has the potential to greatly increase employee engagement, enhance leadership effectiveness, and provide organizational resilience during periods of transformation. These are some of its practical outcomes, but there are others like succession planning being closely aligned to organization's leadership training and promotion strategies and the general organizational culture. These are the gaps for other researchers, but there are numerous ways HR managers can create effective risk plans using managed talent to achieve the objectives of the organization. Effective succession planning, as Ali et al. (2019) argue, has been shown to enhance both leadership functionality and employee motivation.

This thesis evaluates the impact of innovation on the sustainability of electric vehicles (EVs) in the transportation industry. It does this by analyzing the de-velopment of new electric vehicle (EV) batteries, the improvement in charging stations, the aesthetics of cars, the construction of smart grids, and the effects of consumers and the production processes of EVs. This research utilizes a quantitative method based on a survey that was conducted with participants working in the EV manufacturing industry of the UAE. It has been found that the use of technological handicrafts makes a considerable contribution to the improvement of EV sustainability through greater energy efficiency, reduction of damaging impacts to the environment, and with the range of consumer issues in terms of range or charging skepticism. Furthermore, as the critical adopting, the emerging innovations, and the policy emersion that needs to be controlled, pub-lic-private partnerships appear to be essential. The study makes practical rec-ommendations to government and business leaders and underlines the im-portance of putting more focus on financing activities such as R&D, promoting infrastructure, building awareness among consumers about electric vehicles, and strengthening global sustainability objectives. These results highlight the im-portance of the interdependence of technology, policy, business, and other social factors on the development of sustainable transportation.

This study investigates the role of Artificial Intelligence (AI) in enhancing the transfer of training within the United Arab Emirates (UAE) government sector, particularly in Dubai. The primary objective is to explore how AI can facilitate the application of newly acquired skills and knowledge in real-world job sce-narios, thereby improving employee performance and productivity. The research addresses the impact of AI on training process, and potential methods to en-hance its effectiveness. This research contributes to the understanding of AI’s role in training transfer and provides practical recommendations for leveraging AI to enhance training outcomes in government organization.