Description
This book offers a comprehensive exploration of how artificial intelligence (AI), and large language models (LLM) are reshaping leadership strategies in business and economics, emphasizing sustainable development and entrepreneurial innovation. Drawing from selected research papers presented at the 9th Prague Institute for Qualification Enhancement (PRIZK) International Leadership Conference held in Prague, Czech Republic, this volume focuses explicitly on novel AI-driven business models, strategies, and leadership paradigms, including such topics as leadership in AI-guided energy policy, or AI in strengthening military and economic leadership. These cases provide unique perspectives on integrating frontier technologies within traditional sectors, presenting successes and lessons that have global applicability. By emphasizing the interplay between AI technologies, entrepreneurial leadership, and sustainable economic growth, this book offers actionable insights and practical frameworks relevant worldwide.
The book is designed for a broad audience, including academics, policymakers, business leaders, entrepreneurs, and professionals involved in shaping future-oriented business practices and economic policies. It addresses a critical gap by highlighting regional leadership insights within a global context, emphasizing how lessons learned from today's volatile and dynamic markets can inspire innovative strategies globally.
Chapter 1: An introduction Leadership in business and economics in the new AI driven era.- Part 1: Novel leadership trends in business and economics in the era of AI.- Chapter 2: Emerging leadership trends in the AI-driven era and changing leadership models.- Chapter 3: AI use in business activities: trends, advantages, and challenges.- Chapter 4: Impacts of AI implementation on digital literacy and organizational outcomes in business companies.- Chapter 5: The role of digital leadership in reshaping organizational structures and enhancing productivity.- Chapter 6: E-leadership, AI communication, and collaboration tools in business and economics.- Part 2: AI driven financial decision-making and financial management.-Chapter 7: AI-Driven Mechanisms to Counter Organized and Transnational Cybercrime: A Cross Disciplinary Approach.- Chapter 8: AI Driven financial decision making: enhancing precision and managing risks.- Chapter 9: The role of Artificial Intelligence in advancing financial technology.- Part 3: AI applications in education and its impacts of education.- Chapter 10: Using AI in higher education: micro-credentialing and targeted modular learning experiences.- Chapter 11: Leadership in developing future skills via the application of AI in education.- Part 4: Leadership in AI-guided energy policy: new threats and opportunities.- Chapter 12: Leadership in the use of smart grids in the Internet of Things.- Chapter 13: Does Business Growth Facilitate Energy Transition? Assessing the Impact of Enterprises and AI-Driven Insights on Carbon Emissions.- Chapter 14: The impact of AI in green technology innovations on sustainable development of global economic growth.- Chapter 15: The Role of Leadership and Artificial Intelligence in Shaping National Energy Systems: Strategies for Sustainable Development in Ukraine and Germany.- Chapter 16: Adapting foreign experience in the field of renewable energy sources: artificial intelligence as a component.- Part 5: Artificial intelligence in strengthening military and economic leadership.- Chapter 17: Integrating AI into national defence economics: risks, strategies, and potentials.- Part 6: Leadership and entrepreneurship in advancing green economic development.- Chapter 18: The use of AI as a factor increasing the innovative potential of the North Caucasus Federal District.- Part 7: Labour market impacts of novel AI technologies.- Chapter 19: New challenges for artificial intelligence in leadership: applications in human resource management.- Chapter 20: The impact of AI on the evolution of business leadership styles.- Chapter 21: AI and Business Leadership in the Age of Automation: Preparing for the Workforce of the Future.- Chapter 22: Labor market impacts of novel AI technologies: how AI can help instead of replacing human workers.- Part 8: Role of AI in changing bibliometrics and research assessment.- Chapter 23: Adaptation of AI and machine translation algorithms to linguo-ethnic conditions of text perception.- Chapter 24: Conclusions Overall conclusions and policy implications for business and economics.
Wadim Strielkowski is Managing Director of the Prague Institute for Qualification Enhancement (PRIZK) and Professor at Prague Business School, Prague, Czech Republic. He is also a Senior Researcher at the Cambridge Institute for Advanced Studies, United Kingdom. Professor Strielkowski pursues a multi-disciplinary approach with several research topics such as leadership in business, economics, higher education, energy economics and policy, and tourism economics. He is among 2% of the world's most cited scientists in 2019 and 2020 (a list of over 100,000 top-scientists with a percentile rank of 2% or above) at the prestigious Stanford University ranking which covers all disciplines included in the Scopus database.
