Management, Organisations and Artificial Intelligence

This book examines and analyses the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organisation management, business ecosystems, data processing models in AI-based organisations and AI strategies in the global perspective.

Piotr Büa is Associate Professor and Head of the International Management Department at Cracow University of Economics (CUE), Poland, Vice-Rector for Projects and Cooperation (CUE), former Director of Cracow School of Business (CUE), Senior Research Professor in Business Management Department at the University of Johannesburg, South Africa, and Grand Valley State University scholarship holder. He is the author or co-author of more than 170 publications in economics and management. His research interests focus on aspects related to the application of artificial intelligence and neuromanagement, risk management, internal audit, international management and logistics. A member of international organizations associating professors and business practitioners in the management area: EFMD, CEEMAN, IMDA, GBATA, EIBA, GSSI, IAMB, EECSA, SAIMS. Bartosz Niedzielski is Assistant Professor at Cracow University of Economics, Poland. He studied and conducted scientific activities, among other subjects, at the University of Greenwich, University of Oxford, UK, London School of Economics, UK, Deggendorf Institute of Technology, Germany, and Jagiellonian University, Poland. He has over 10 years of professional experience gained in global corporations in the BPO/SCC sector (mainly at HSBC). His research interests focus on aspects related to the application of artificial intelligence in organizations, management and internal audit. He is the author or co-author of more than 50 scientific publications in economics and management.

Chapter One Industrial revolution - from Industry 1.0 to Industry 4.0 1.1. Genesis and development of Industry 4.0 1.2. Industry 4.0 - definition-based perspective 1.3. Industry 4.0 - economic potential of the Fourth Industrial Revolution 1.4. Industry 4.0 - implementation barriers versus support conditions 1.5. Industry 4.0 - challenges and opportunities for the organization and the global economy Chapter Two Artificial intelligence (AI) - a new technology in the postmodern era 2.1. Artificial intelligence - an explanation-based perspective 2.2. Basic elements of artificial intelligence - a classification 2.3. Impact of artificial intelligence on business and economy 2.4. Artificial intelligence 2.0 - evolutionary development path 2.5. Artificial intelligence development prospects in the economy Chapter Three Organizations in the artificial intelligence era 3.1. Impact of artificial intelligence on the organization 3.2. Artificial intelligence - changing managerial paradigms 3.3. Artificial intelligence in the organization - stages of implementation, assessment of resources, challenges 3.4. AI organizations - a new type of organization in the world of management 3.5. Data as the strategic resource of the organization in the AI era Chapter Four Artificial intelligence development strategies on the global arena 4.1. United States 4.2. China 4.3. European Union 4.4. Brazil 4.5. Africa