Management has always been a multifaceted and continuously changing aspect of the business world. Today, with the introduction of revolutionary technology, working environments, and new individual attitudes, it is essential to understand more information than ever. A comprehensive knowledge of the interworking of accounting, behavior, decision making, strategy, data, marketing, and revenue management is a must for any manager to act as efficiently and effectively as possible. Modern Management Science Practices in the Age of AI offers a thorough and interdisciplinary exploration of management, addressing key aspects such as challenge resolution, strategic planning, execution, and performance measurement. It refines and transforms organizational operations across various sectors including public, private, and civil society. Drawing on insights from global scholars, researchers, and practitioners, the volume provides a rich collection of contemporary knowledge that is invaluable for both academics and practitioners. By integrating these diverse fields, the book equips both researchers and organizational managers with the tools needed to adapt and thrive in a rapidly evolving environment.

"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

The rapidly evolving landscape of artificial intelligence (AI) has created unprecedented shifts in nearly all aspects of business and life. To manage human resources more effectively, understanding the intersection of consumer behavior and organizational management has never been more crucial. By synthesizing the latest research and practical applications, managers will be equipped with the tools necessary to lead and innovate in their respective fields. Consumer and Organizational Behavior in the Age of AI represents a comprehensive and interdisciplinary effort to provide a deep understanding of these dynamics, offering strategies to address challenges, plan strategically, execute effectively, and measure performance for continuous improvement across public, private, and civil society sectors. Covering topics such as crisis management, firm strategy, and purchase intention, this book is an excellent resource for organizational leaders, managers, human resource managers, academicians, graduate and postgraduate students, educators, and more.

Artificial Intelligence (AI) serves as a catalyst for transformation in the field of digital teaching and learning by introducing novel solutions to revolutionize all dimensions of the educational process, leading to individualized learning experiences, teachers playing a greater role as mentors, and the automation of all administrative processes linked to education. AI and machine learning are already contributing to and are expected to improve the quality of the educational process by providing advantages such as personalized and interactive tutoring with the ability to adjust the content and the learning pace of each individual student while assessing their performance and providing feedback. These shifts in the educational paradigm have a profound impact on the quality and the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Revolutionizing Education in the Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as AI and tutoring, role of teachers, physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development, support critical thinking, and augmented intelligence and it is designed for educators, curriculum developers, instructional designers, educational software developers, education consultants, academicians, administrators, researchers, and professionals.

This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organizational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors' holistic approach is unique in the field. From a universalist perspective, the book examines and analyzes the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organization management, business ecosystems, data processing models in AI-based organizations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book. This timely and important book will appeal to scholars and students across the fields of organizational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more.

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?