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.
Table of Contents
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
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
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
Artificial intelligence development strategies on the global arena
4.1. United States
4.3. European Union
Piotr Buła 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.