The Generative AI Impact : Reframing Innovation in Society 5.0 (Emerald Studies in Sustainable Innovation Management)

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The Generative AI Impact : Reframing Innovation in Society 5.0 (Emerald Studies in Sustainable Innovation Management)

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  • Emerald Publishing Limited(2025/07発売)
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  • 製本 Hardcover:ハードカバー版/ページ数 360 p.
  • 言語 ENG
  • 商品コード 9781835491065
  • DDC分類 303.4834

Full Description

Society 5.0 is a concept that focuses on innovation and the creation of adaptable products and services. Integrating technology within society is crucial for the future, and the need to broaden the understanding of Industry 4.0 outcomes can be addressed by integrating them into the Society 5.0 paradigm.

The book shows how Society 5.0 aims to create a human-centric society where technological development is accessible to all. Industry 4.0 technologies play an active role in daily life, industry, healthcare, and other areas, promoting progress, technological advancement, and individual wellbeing. The European Commission supports this human-centred perspective in its Horizon Europe research and innovation program.

The series "Emerald Studies in Sustainable Innovation Management" explores the advancements of innovation management in turbulent times, with 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 digitalisation and the green transition, and negative ones, such as crises and global emergencies.

Contents

Introduction to Generative AI and Its Applications

Chapter 1. Generative AI and Society 5.0: Enabling a Collaborative, Inclusive Future; Antonio Crupi, Luca Marinelli, and Emanuele Cacciatore

Chapter 2. Exploring the Research Landscape of Generative AI: A Bibliometric and Content Analysis; Antonio Crupi, Alessandra Costa, and Andrea Amanti

Chapter 3. Generative AI in the Service of Product Management: How Generative Technologies Innovate the Product Processes; Aron Witkowski and Andrzej Wodecki

Chapter 4. Fashioning Ownership: Intellectual Property Considerations in Generative AI Driven Fashion Design; Eleanor Rockett

Chapter 5. Robo-Advisors: Lessons from the 2008 Financial Crisis, Emotional Intelligence Integration, and Future Research Directions; Sharmila VP and Prof. Bhartendu Singh

Chapter 6. AI-Powered Beauty: Exploring AI's Potential in Society 5.0; Giulia Notarsanti, Giulia Nevi, Sara Bartoloni, and Federica Pascucci

Ethical Considerations in AI Integration

Chapter 7. Ethical Challenges in Gen-AI Innovation Management: Discussing Within the Context of Society 5.0, the Ethical Considerations and Dilemmas Arising from Integrating Gen-AI into Innovation Processes; Modupe Dzorka and Mawutor John Kweku Mensah

Chapter 8. Critical Considerations on the Ethical Implications of the Artificial Intelligence Integration in the Accounting Field; Carmelo Arena and Diego Mazzitelli

Chapter 9. Artificial Intelligence: A Tool of Freedom or a Device of Submission?; Marco Centorrino and Maria Laura Giacobello

Equity and Inclusion in AI Innovation

Chapter 10. Equity and Inclusion in Gen-AI Innovation: Exploring the Challenges and Strategies for Ensuring Equitable Access to and Benefits from Gen-AI-Driven Innovation; V Padmaja, P. Bhanumathi, and Bishal Patangia

Chapter 11. Generative Artificial Intelligence, Creativity and Innovation; Daniele Schilirò

Chapter 12. From Zeta to Alpha: How AI is Transforming Generational Interactions; Giuseppe Lanfranchi, Silvia Sassi, and Antonio Crupi

Human-Centered Innovation and Organizational Transformation

Chapter 13. Training, Reskilling, Recruiting: The future of work in the age of Generative AI; Luca Marinelli, Alessandra Cioli, and Gian Luca Gregori

Chapter 14. Innovative Organizational Dynamics: Generative AI's Transformative Impact; Zhisheng Chen

Chapter 15. How to integrate AI tools into emotional marketing strategies: Redefining marketing creativity; Carlotta Carucci

Chapter 16. Enhancing Healthcare Knowledge With AI: Key Insights and Strategic Framework; Giulia Nevi ,Giulia Gogiali, Luca Dezi, and Gianpaolo Basile

Chapter 17. The Big Unlearn: Learning in the Gen AI Era; Federico Vigorelli Porro and Giuseppe Lanfranchi

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