Smart watches, autonomous vehicles, and talking robots are now an everyday part of life for many regions of the world. The digital revolution has now permeated nearly every facet of our existence. This surge in technological advancement has ushered in what economists term an "innovation economy." In this era, the synergy between technology and business intelligence propels groundbreaking innovations, fostering entrepreneurial ventures across various sectors. These ventures encompass an array of industries, including agriculture, fast-moving consumer goods, hospitality, cultural and indigenous products, to name just a few. While these entrepreneurial endeavors bring forth creativity and contribute to circular economies within communities, not all manage to navigate the challenging environment successfully. This raises a pressing concern – how can entrepreneurs harness the power of business intelligence and innovation to achieve sustainability and a competitive edge in today's complex business landscape? Applying Business Intelligence and Innovation to Entrepreneurship brings a definitive solution to academicians, researchers, and students who seek a comprehensive understanding of the dynamic interplay between entrepreneurship, business intelligence, and innovation. By dissecting various types of organizations, from small and medium-sized enterprises (SMEs) to technology-based startups like Fintech, digital marketing, and community-driven initiatives, this book paints a vivid picture of the entrepreneurial ecosystem. It delves deep into the symbiotic relationship between local wisdom and innovation, shedding light on how entrepreneurs can seize opportunities presented by disruptive and unpredictable phenomena.

Entrepreneurship, innovation, and education intersections have become crucial in driving organizational and individual success in today’s quickly changing economic world. Globalization, technological innovation, and evolving consumer habits constantly transform sectors, requiring quick and innovative answers. The key to this transition is encouraging entrepreneurial attitudes, developing new methods, and using educational frameworks to improve performance in all areas. Entrepreneurship Innovation and Education for Performance Improvement thoroughly examines the ways in which these interrelated areas might collaboratively boost the performance of both organizations and individuals in the current dynamic business landscape. It investigates the interconnections among entrepreneurship, innovation, and education, clarifying how these components contribute to improving performance in both new and existing business ventures. By analyzing present patterns, upcoming approaches, and the revolutionary capability of combining these areas, this book sheds light on promoting a culture of ongoing improvement and success in the modern corporate environment. Covering topics such as entrepreneurial leadership, performance improvement, and sustainability, this book is an essential resource for postgraduate students, researchers, lecturers, industry practitioners, entrepreneurs, business leaders, and more.

Under the conditions of the Fifth Industrial Revolution, there appears e-business 5.0, a new model of entrepreneurship in which humans and artificial intelligence (AI) are not opposed but systematically combined and effectively used. Because the core of e-business 5.0 is intelligent systems, the most important role in its development belongs to the management of technologies and innovations. Smart technologies may supplement or replace human resources in business processes, which involves various options of their combination and distribution of labor. This complicates things and requires a new approach to management in e-business 5.0. Smart Technologies and Innovations in E-Business is devoted to comprehensive research of e-business 5.0. This book discusses the systematization of international experience, determination of prospects, and development of recommendations for the improvement of the management of smart technologies and innovations in e-business 5.0. Covering topics such as big data, entrepreneurial development and dynamics, and mobile payment systems, this book is an essential resource for entrepreneurs, business executives and managers, e-commerce professionals, digital marketing experts, technology developers and engineers, academicians and researchers, policy makers and regulators, postgraduate educators and students, and more.

Experts are constantly trying to understand the complex relationships between humans and evolving technologies. Cognitive ergonomics, the science behind human-machine interactions, ensures optimal performance and decision-making. Understanding and managing these interactions, especially in medicine and computer tasks, requires an interdisciplinary approach. Bioethics of Cognitive Ergonomics and Digital Transition addresses these challenges head-on, offering a comprehensive exploration of cognitive ergonomics and its implications for technology, society, and more. One of the critical issues addressed in this book is the ethical design and implementation of human-machine interactions, particularly in biomedical research and treatment contexts. As technologies like artificial intelligence (AI) and biotechnology continue to advance, the need for ethical frameworks becomes increasingly critical. This book examines the bioethical perspectives of these interactions, providing readers with insights into how to navigate these complex issues responsibly.

In context of entrepreneurship, this book was motivated by a desire of a team of well-known authors. The book consists of 23 closely related thematic contributions, which fall into 4 separate sections: Interactions between Economy and Entrepreneurship; Innovation in Entrepreneurship and Economic Growth; Current Trends in Family Business, Social Entrepreneurship and Responsibility; and The Role of Human Resource Management, Education and Gender in Entrepreneurship. Authors-contributors have submitted the results of their recent research and presented essential findings about the decision-making process of entrepreneurs in order to maintain their businesses competitive. The reader can get an insight into the selection of the best scientific contributions that have been reviewed and ready for debate. Our piece of work, Entrepreneurship: Development Tendencies and Empirical Approach, has interdisciplinary features. This work by authors from different countries - Finland, Germany, Czech Republic, Slovakia, Italy, Spain, Turkey and Malaysia - is dedicated to readers providing up-to-date research data and background for further research as well as implementation techniques in business practice.

Technology and entrepreneurship converge in the digital era, presenting many possibilities and hurdles. One of the most pressing issues facing entrepreneurs is the ability to harness the power of artificial intelligence (AI) to drive innovation and create sustainable businesses. While AI holds immense potential for transforming entrepreneurial ideas across various fields, many individuals and organizations need help understanding its practical applications and implications. Generating Entrepreneurial Ideas With AI offers a comprehensive solution to this challenge. By examining the intersection of AI and entrepreneurship from a multidisciplinary perspective, we provide readers with invaluable insights and strategies for leveraging AI to enhance their entrepreneurial endeavors. This book is designed for students, entrepreneurs, policymakers, and academics. It is a practical guide and roadmap for integrating AI into entrepreneurial practices. Through a series of in-depth analyses and case studies, we demonstrate how AI can effectively identify new business opportunities, optimize operations, and enhance the overall competitiveness of ventures.

In a fiercely competitive global economy, small and medium-sized enterprises (SMEs) face numerous challenges in achieving and sustaining competitiveness. From limited resources and evolving market dynamics to technological disruptions and regulatory hurdles, SMEs often struggle to navigate the complexities of modern business environments. As a result, many SMEs find themselves at a disadvantage, unable to fully capitalize on opportunities or effectively mitigate threats, thus hindering their growth and long-term viability. Models, Strategies, and Tools for Competitive SMEs offers a comprehensive solution to empower SMEs to thrive in competitive landscapes. By bringing together a wealth of expertise and insights from scholars and practitioners globally, this book serves as a valuable resource for SMEs seeking to enhance their competitiveness and unlock their full potential. Through a diverse array of topics, ranging from leadership and innovation to digital marketing and organizational climate, the book provides actionable strategies and practical tools tailored specifically to the needs of SMEs.

The isolated nature of academic disciplines restricts the potential for collaborative problem-solving and innovative approaches to teaching and learning. This fragmentation limits the effectiveness of educational outcomes and fails to prepare students for the multidimensional demands of the modern world. To address this pressing issue, Transdisciplinary Approaches to Learning Outcomes in Higher Education provides a comprehensive framework for transdisciplinary research in higher education. This book offers a systematic approach to transdisciplinary research and equips researchers, educators, and policymakers with the tools needed to break down disciplinary barriers and foster interdisciplinary collaboration. Through a series of case studies, theoretical frameworks, and practical guidelines, the book demonstrates how transdisciplinary approaches can lead to more effective teaching practices, curriculum design, and student engagement. It highlights the importance of integrating digital transformation, creativity, communication skills, and information technology tools to enhance learning outcomes in higher education.

In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management. AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. Ideal for undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies.

Studies have indicated that employers across the globe face difficulties in filling critical roles, sparking a worldwide "war for talent." This talent war, once a temporary market condition, has now solidified into the "New Normal." Leaders recognize that success in this era demands the construction of optimal teams for strategic competitive advantage amid global uncertainty and hypercompetition. As explored in detail within the pages of Global Practices on Effective Talent Acquisition and Retention, this book serves as an indispensable guide for scholars and practitioners navigating the intricacies of talent management in the current global scenario. This project aspires to create a comprehensive reference material delving into diverse aspects of current global talent realities. It aims to provide scholars and practitioners with recent empirical, practical, and theoretical research on talent acquisition and retention practices worldwide. The emphasis is on sustainable practices that drive organizational success across multiple industries. The impact of this publication will resonate in both application and the direction of future research.