"Artificial intelligence (AI) technologies are one of the top investment priorities in these days. We may expect that by 2030, some 800 million jobs will have disappeared and taken over by machines, and artificial intelligence will reach human levels by around 2029. Follow that out further to 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold. The time of machines requires new forms of work and new ways of business education. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions like how may AI be used /or is a threat for PRME implementation, how will AI impact the business education world or what we should teach in business school in the time of AI (what the 'right' set of future skills is)? In our book, we will try to address the following questions: 1. How will AI impact the business education world? 2. How may AI be used /or is it a threat for PRME implementation? 3. What we should teach (what the 'right' set of future skills is)? 4. How should we teach (the way in which schools should teach and assess them)? 5. Where should we teach (what implications does AI have for today's education infrastructure)?"--

In the current fast-paced business environment, organizations face the challenge of managing internal innovation efforts while leveraging external expertise and resources. Traditional innovation management approaches may struggle to keep up with the rapid changes in technology and market dynamics. Organizations must master innovation while ensuring sustainability and adopting more inclusive and collaborative innovation practices. To address these challenges, the book Mastering Innovation in Business provides a comprehensive solution by delving deep into the principles and practices of open innovation. By examining the evolution of management and the dynamics of open innovation, this book equips readers with the knowledge and strategies needed to manage innovation effectively in a rapidly changing business landscape. It explores intellectual property management, metrics for measuring innovation, and cultural influences on innovation. It offers practical insights and actionable strategies for fostering a culture of innovation within organizations. Additionally, the book delves into the role of digital transformation in driving innovation. It guides how organizations can leverage digital technologies to enhance their innovation efforts.

This book presenting several different cases from various parts of MENA region it showcases how companies cope with the changing economic and social challenges toward the longer-term sustainable development. Carefully selected a variety of case studies prepared by leading authors from the region offer actional insights into incorporating corporate social responsibility and sustainability practices into businesses in the MENA region. This book offers examples of how including social responsibility into everyday life can benefit organizations, society, and the environment. Further, the book provides a unique combination of academic, industrial, and local approaches. Perfect for students taking courses on strategic management, corporate social responsibility, business ethics, marketing, international business, or sustainability management during their undergraduate degrees and at the graduate level as part of an MBA program. This book is also an indispensable resource for consulting and training companies who work with other professionals.

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

Are business schools on the wrong track? For many years, business schools enjoyed rising enrollments, positive media attention, and growing prestige in the business world. However, due to the disruption of Covid-19, many previously ignored issues relating to MBA programs resurfaced. As a result, MBA programs now face lower enrollments and intense criticism for being deficient in preparing future business leaders and ignoring essential topics like ethics, sustainability, and diversity and inclusion. The Future of Business Schools discusses these issues in the context of three critical areas: complexity, sustainability, and destiny

"Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-AI interaction, there is a risk of losing sight of this interaction's goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because "the measure of success for AI applications is the value they create for human lives" (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities' and social sciences' researchers, who can identify cognitive processes and human behaviors. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the 'right' set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today's education infrastructure). We must remember as we have already noticed before " ... education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)""--

Mindfulness and Business Education: Developing self-aware future leaders is a practical guide for educators and academics with teaching responsibilities in business schools or colleges. Business schools have a responsibility to equip future leaders with the right knowledge and the right skills to make the right decisions, particularly in times of volatility, uncertainty, complexity, and ambiguity. This responsibility can only be met if business schools change the way they teach and develop self-aware future leaders who are grounded in the foundations of mindfulness. The book is divided into three parts: Why, What, and How. Part One: Why introduces the foundations of mindfulness, draws on the history of business school development, and discusses leadership approaches presently taught in business schools. Part Two: What discusses ways of measuring mindfulness, the need for training business educators as mindfulness facilitators, and the contextualisation of mindfulness in contemporary business topics such as wellbeing, sustainability, diversity, and artificial intelligence. Part Three: How provides case studies and scripted resources for immediate use and implementation in extracurricular or co-curricular activities to design mindfulness-based modules and courses, to introduce mindfulness coaching as part of pastoral care and staff development, and to develop mindfulness-driven business education strategies. This is an ideal book for those in business education looking to use mindfulness to develop future managers and leaders.