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Green Engineering for Optimizing Firm Performance: AI and Automation for Sustainable Technologies.
・ISBN 978-1-041-04034-7 hard GB£ 171.99
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| 著者・編者 | Trivedi, Sonal / Balusamy, Balamurugan / Gernal, Liza Macasukit / Al-Khasawneh, Mahmoud Ahmad (eds.), |
|---|---|
| シリーズ | (Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2025 |
| ページ数 | 292 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-97700＞ |
解説
This book offers a detailed examination of how sustainable technologies are reshaping firm performance. Through an integration of empirical research, expert opinions, and case studies, it explores how green management practices are enhancing business outcomes and contributing to sustainable development. It offers an in-depth understanding of how green technologies and practices, such as green engineering, AI/ML applications, green HRM, and green innovation, impact firm performance.
- Explores topics such as green engineering, AI/ML applications, green finance, green HRM, and green innovation, showing their collective impact on business performance
- Presents real-world case studies and empirical findings to demonstrate how organizations across different industries have successfully implemented sustainable technologies
- Examines regional variations in green management practices, offering insights into the impact of economic, regulatory, and cultural contexts on sustainability initiatives
- Critically analyzes contemporary challenges with practical strategies for addressing issues effectively
- Recommends actionable policy and future research directions for sustainable business practices, providing a roadmap for advancing green management
This reference book is for academicians, scholars, and practitioners who are interested in emerging technologies that are reshaping firm performance and impacting sustainability.