Leena N. Fukey – författare

As technology continues to evolve rapidly, the future of small business holds immense promise and potential. Though uncertainty and risk are key issues for both large companies and small businesses, in recent times applying new technology may allow for a better characterisation of uncertainty and reduce risk in small business decision-making.The curated chapters cover topics including: business models, social innovation, green innovation, firm resilience, industry 5.0 and many more. The diverse chapter authors from around the world provide in-depth information on innovative behaviour and future trends in eco-innovation, frugal innovation, and AI innovation by entrepreneurs and small business and gather academic recommendations from research on innovation adaptations.The series Emerald Studies in Sustainable Innovation Management aims at exploring the advancements of innovation management in turbulent times with a special attention to the transition towards a sustainable economy. The practice of innovation management is evolving rapidly as a consequence of positive phenomena such as digitalization and the green transition and negative ones such as crises and global emergencies.

In an era of rapid technological innovation and digital transformation, artificial intelligence (AI) is reshaping the way organizsations approach talent acquisition and management. Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization analyses the intersection of AI and workforce strategies, offering readers a thorough exploration of analytical approaches, cutting-edge practices, and innovative models.Bridging the gap between AI theory and practical application, the authors provide actionable frameworks and strategies for leveraging AI in workforce management. From streamlining talent acquisition to enhancing management practices, the authors present a comprehensive roadmap for navigating the transformative impact of AI on digital talent strategies. Whether you're a business leader, HR professional, or academic, this book equips you with the tools and knowledge to thrive in the ever-evolving landscape of digitalization.

In an era of rapid technological innovation and digital transformation, artificial intelligence (AI) is reshaping the way organizsations approach talent acquisition and management. Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization analyses the intersection of AI and workforce strategies, offering readers a thorough exploration of analytical approaches, cutting-edge practices, and innovative models.Bridging the gap between AI theory and practical application, the authors provide actionable frameworks and strategies for leveraging AI in workforce management. From streamlining talent acquisition to enhancing management practices, the authors present a comprehensive roadmap for navigating the transformative impact of AI on digital talent strategies. Whether you're a business leader, HR professional, or academic, this book equips you with the tools and knowledge to thrive in the ever-evolving landscape of digitalization.