Entrepreneurship, innovation, and education intersections have become crucial in driving organizational and individual success in today’s quickly changing economic world. Globalization, technological innovation, and evolving consumer habits constantly transform sectors, requiring quick and innovative answers. The key to this transition is encouraging entrepreneurial attitudes, developing new methods, and using educational frameworks to improve performance in all areas. Entrepreneurship Innovation and Education for Performance Improvement thoroughly examines the ways in which these interrelated areas might collaboratively boost the performance of both organizations and individuals in the current dynamic business landscape. It investigates the interconnections among entrepreneurship, innovation, and education, clarifying how these components contribute to improving performance in both new and existing business ventures. By analyzing present patterns, upcoming approaches, and the revolutionary capability of combining these areas, this book sheds light on promoting a culture of ongoing improvement and success in the modern corporate environment. Covering topics such as entrepreneurial leadership, performance improvement, and sustainability, this book is an essential resource for postgraduate students, researchers, lecturers, industry practitioners, entrepreneurs, business leaders, and more.

Artificial intelligence (AI) reshapes the entrepreneurial landscape by offering tools and insights to encourage innovation, transform ideas, and impact business owners’ mindsets. With AI's ability to analyze vast amounts of data, predict trends, and automate complex processes, entrepreneurs are now equipped to make more informed decisions, streamline operations, and discover new market opportunities. However, to fully harness AI's potential, there must be a concerted effort to democratize access to these technologies and provide the necessary skills and resources to aspiring founders. By fostering a culture of learning and experimentation, entrepreneurs may become empowered to explore the vast possibilities of AI within business management processes. It has become necessary to cultivate AI literacy and accessibility, for improved inclusivity and innovation in entrepreneurship practices. Empowering Entrepreneurial Mindsets With AI explores the possibilities of artificial intelligence within entrepreneurial methods. Applications of AI in business are positively outlined, with an emphasis on industry professional empowerment and technology development. This book covers topics such as mental health and wellbeing, cybersecurity, and digital technology, and is a useful resource for therapists, agriculturists, security professionals, healthcare workers, computer engineers, business owners, academicians, researchers, and scientists.

The intersection of corporate governance, financial performance, and long-term value creation is critical to effective sustainability in business. Effective corporate governance provides the framework for accountability and ethical decision-making, directly influencing a company's financial health and its capacity for long-term growth. Such tactics also ensure transparency and trust, enhancing financial performance by mitigating risks and optimizing resource allocation. Successful business operations involve long-term value creation, which involves investing in innovation, sustainability, and stakeholder relationships. Effective research into governance structures that support both immediate financial objectives and enduring value creation is necessary to ensure businesses thrive and achieve a sustainable future. Intersecting Corporate Governance, Financial Performance, and Long-Term Value Creation explores the convergence of corporate governance, finance, and value creation in business. It offers solutions for long-term business sustainability through various models of governance and banking and finance applications. This book covers topics such as energy engineering, Islamic finance, and sustainable development, and is a useful resource for business owners, government officials, finance professionals, engineers, scientists, academicians, and researchers.

The Book explores the intricate balance of preserving cultural heritage while fostering sustainable urban growth. This comprehensive volume presents a diverse array of chapters, each exploring unique facets of this critical intersection. From the contextual preservation methods in Italy's military landscapes and advanced data fusion techniques in Selinunte, to the phenomenological exploration of Bahrain's architectural identity and the environmental frameworks for its primary health care centers, the book offers multifaceted insights. It navigates through the urban transformations in historic sites like Thamugadi and Tripoli, the digitization for conservation in Algeria, and the sustainable urban futures informed by indigenous knowledge systems. Furthermore, it examines public space dynamics, urban green infrastructure, and the integration of sustainable development into urban planning, with case studies spanning from Turkey to Tehran. The book also addresses contemporary architectural discourse, mobility in architecture, and the significance of unacknowledged tributaries in urban planning. Through a rich tapestry of empirical research, case studies, and theoretical analysis, this book is an essential resource for scholars, practitioners, and policymakers dedicated to the advancement of cultural heritage and sustainable urban development.

Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking. AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change.

Master's Thesis from the year 2020 in the subject Business economics - Business Management, Corporate Governance, grade: 94/110, University of Rome "Tor Vergata", language: English, abstract: This thesis deals with Big Data as a key driver of Change Management and the importance of Culture Change in transformation processes. It aims to answer the following questions: What is the Fourth Industrial Revolution’s enabling technology that companies need to concentrate on extraction value in the phase of volatility and uncertainty? How can companies use change management theories and practices to stay competitive and agile? How do companies deal with the resistance to change? What is the role of Culture Change? Throughout the research, the Industry 4.0 as the background and central statue behind der study is examined. Change Management and Big Data are explored broadly in primary academic sources. This research contributes to the literature by providing a comprehensive picture of the essential determinants of successful change management that connects the gab between the different aspects raised in the literature. The world is transforming every day: customer needs are changing; technology is advancing, and the economy is evolving. Businesses who fail to embrace change can easily wind up as dinosaurs. This study analyses decisive change drivers coming with Industry 4.0, particularly Big Data. The core to effectively proceeding Industry 4.0 is to move from a traditional waterfall concept to an agile manner. Effective change management is crucial. Big Data transformations require an innovative way of thinking about how change impacts people, culture, organisations, processes and more. While resistance is the normal human reaction in times of change, Culture Change is critically essential to transformation and can mitigate much of the resistance. Digital transformation is not mainly about technology, it is about agility – organisations’ culture plays a decisive role in the digital transformation of every business.