Artificial intelligence (AI) technologies are one of the top investment priorities in these days. We 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. Continuing this train of thought 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 address the following questions: 1. How will AI impact the business education world? 2. How will AI be used in business schools and management learning? 3. Is AI a threat for the successful implementation of PRME? 4. What should new learning goals be? 5. How should we create next generation learning journeys?

"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)?"--

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.

The dynamics of scientific and technological development of modern society is characterized by high growth rates, accompanied by the algorithmization of the digital economy raises new and transformation of existing social relations in which the boundaries between physical, digital and biological worlds are disappearing, giving rise to an objective need for a comprehensive socioeconomic and institutional transformations in society require an appropriate legal base. In modern scientific literature, the term "fourth industrial revolution" – Industry 4.0 – is used to refer to a radical change in traditional methods and forms of management associated with the introduction of innovative technologies, such as artificial intelligence, the Internet of things, unmanned vehicles, robotic systems, big data, etc. A study on the establishment of the legal concept of neo-industrial modernization, including directions and mechanisms of development of technologies of Industry 4.0, as well as preventive measures to prevent collisions through the use of all types of convergent technologies, is of great scientific and practical value because it provides additional opportunities for economic development and the formation of a fundamentally new legislative approaches to solving fundamental and applied problems in this area for the next 10 years.

This book will explain the doctoral journey, the researcher’s orientation, personal challenges, and process pathway for successful completion. This book will examine doctoral studies' motivation, build a compelling research argument, decide how to structure a thesis/dissertation, remain on task, and expedite the process while maintaining high-quality standards. This book will explain how a Ph.D. candidate should start the process, stay focused on the tasks, separate passion from the process, understand the challenges, and overcome them. We will explain how a Ph.D. mindset should adjust to the processes rather than entrenched in a passion that may not match the process's realities. Globally, the need for completing doctoral studies is growing. However, prospective doctoral candidates do not always have access to experienced academe who can aid and provide guidance. This book will include the necessary thought process and supportive guidelines along the doctoral journey enabling the delivery of a doctoral thesis/dissertation with more ease. Ph.D. candidates will use the book for its theoretical and practical insights, explaining each challenge along the doctoral journey with relevant examples. The book will have a fourfold purpose, a thought initiator, a process guide, practical support, and a reference book on specific parts of the doctoral journey. It also includes essays of successful Ph.D. candidates and lessons learned.

Our current students are digital natives, born into a world of widespread online sharing. Aligning the technologies we use in our courses with their skills and approaches to collaborative learning is an opportunity we should take. The new media share text, images, audio and video material rapidly and interactively. This volume will provide an overview of these new social media including Skype, YouTube, Flickr, blogging, LinkedIn, Facebook, and Twitter. Examples and cases of how instructors around the world are meaningfully incorporating them into their management, marketing, and other business courses are provided. One of the more robust trends is the use of three-dimensional immersive virtual world interfaces for teaching and learning. The leading one is Second Life. Examples of the use of Second Life in business courses will be discussed. The use of wikis to foster collaborative development of course related material by learners will be presented with case examples. Faculty members are co-creators of course content with their learners. Among the topics covered is how faculty members can be supported in their deployment of social media projects and course structures. How social media can enable the structuring of course activities involving students, prospective students, alumni, employers, businesspersons, and others in rich sharing and support with each other will be discussed. Indeed seeing courses as networking venues beyond learning forums will be parsed.

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]