This study investigates the ways the corporate culture impacts worker engagement, productivity, and JS. Organizational culture exerts a more profound influence on employee behavior and overall productivity of the organization because it comprises common principles, customs, and val-ues that mold attitudes of workers. This scholarly inquiry delves into the intricate interrelation between cultural variables and employee outcomes by analyzing them in-depth particular while gazing at communication, leadership styles, teamwork, and shared values. Using a quantitative methodology, data were collected from 203 employees across various Dubai-based firms using purposive sampling. The study employed cor-relation and regression analyses to test the proposed relationships. These interviews offered insightful information on the ways in which corporate culture influences workers' drive and performance. The results show that worker engagement, output, and job satisfaction are all considerably in-creased by a business with a good and well-aligned culture. The aim and intent of this research report is to provide firms seeking to formulate a culture that supports worker well-being and fosters long-term success in a competitive business climate with practical advice. The study's conclu-sions will help academics and practitioners both gain insight into how culture affects the outcomes of organizations.

This quantitative study examines the influence of quality management practices on operational performance across multiple sectors in the United Arab Emirates (UAE). Data were collected from 30 organizational respondents using structured questionnaires. The analysis explored the relationships among quality management practices (QMP), organizational culture (OC), leadership support (LS), employee engagement (EE), and organizational productivity (OP). Regression results revealed that OC (β = 0.396, p = 0.048) and LS (β = 0.394, p = 0.034) significantly enhanced productivity, while EE (β = -0.142, p = 0.479) showed no significant effect. QMP had a positive but non-significant relationship (β = 0.138, p = 0.449). The findings support the importance of leadership and culture in driving quality outcomes and operational excellence. The study recommends continuous improvement strategies, proactive risk mitigation, and increased use of data analytics to support quality-driven performance.

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.

In today's world, artificial intelligence (AI) chatbots are a part of customer service in almost every industry. Unfortunately, user dissatisfaction and miscommunication issues are commonly reported even with their use. This research explores the primary drivers of user dissatisfaction in the interaction with AI chatbots, specifically looking into query misinterpretation, lack of emotional recognition, absence of personalized feedback, as well as privacy and data security issues. With a qualitative approach, the study conducted semi-structured interviews with twelve participants from the e-commerce, banking, education, and customer service sectors. Theme-based analysis led to the identification of four major themes: poor interpretation of user instructions, inappropriate or insufficient accuracy responsiveness, absence of empathy, and excessive concern for privacy. The participants pointed out that while chatbots are sufficient in performing mundane tasks, they do not perform very well when it comes to complex and emotional tasks. The study advocates for better chatbot design using sophisticated natural language processing (NLP), emotional AI, fortified security measures, and smoother handoff to a human agent. Enhancing these features is crucial toward achieving greater user satisfaction and effectiveness of AI systems in customer interactions. The results highlight the gaps in empathetic, contextual understanding and privacy-respectful security that chatbots incorporate in reference to the changing needs of users.

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.

This study explores the effectiveness of social media among adults aged eight-een and above, focusing on its impact across four domains: communication and well-being, information sharing and dissemination, professional development and networking, and activism and civic engagement. This research uses a mixed-methods approach, integrating both quantitative surveys and qualitative interviews to explore social media usage patterns, benefits, and challenges. Findings indicate that social media increases communication through connection making and emotional support, despite the fact that some users suffer from negative effects such as anxiety and dependency. Social media are essential for information sharing, disseminating information fast and acquiring diverse per-spectives; however, miscommunication is a significant issue. Platforms like LinkedIn are important tools for professional networking and advancement in career; however, privacy issues limit participation. Social media also enables civic engagement and activism, giving users a voice to mobilize for social causes, though algorithmic biases and echo chambers constrain diverse participation. Social media offers both opportunities and challenges for personal and societal growth. Risks, of course, must be mitigated, but the recommendations do include fostering digital literacy, algorithmic transparency, better privacy protections, and responsible platform use. These insights are foundational in understanding social media's place in the modern adult's life and will form the basis of future research and policymaking.

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).