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Green Engineering for Optimizing Firm Performance: AI and Automation for Sustainable Technologies(Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management)

Green Engineering for Optimizing Firm Performance: AI and Automation for Sustainable Technologies(Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management)

          
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About the Book

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.



Table of Contents:

1. Literature Review of Green Management and Advanced Technologies for Firm Performance 2. Data analysis on greeningSMEs through resource efficiency: K-means algorithm 3. AI-Driven Green HR Management and Business Performance Insights: A Comprehensive Literature Review 4. Harnessing the Sun: Role of State Action Plan on Climate Changeand Tech-Driven Solutions for Solar Energy Sector in the State of Uttar Pradesh, Kerala and Assam 5. Exploring the Intersection: Technological Innovations and Green Management in Enhancing Sustainable Organizational Performance 6. Impact of Green Management, AI, ML, and Automationon Firm Performance: A Review of Empirical Evidence 7. The Role of AI and Automation in Green Management: A Bibliometric Approach to Evaluating Firm Performance 8. Impact of Green Management on Firm Performance in the purview of AI and data analytics: A comprehensive review 9. Green Purchase Behavior: A Pathway to Corporate Sustainability through Bibliometric Lens 10. The Role of AI, ML, and Data Analytics in Overcoming Greenwashing: Enhancing Proactive Environmental Strategies for Improved Firm Performance 11. Transforming Green Microfinance Using Data Analytics: A Case Study Approach to Growing Green Microfinance in Different Economies 12. Exploring Skepticism and Green Fatigue: A Consumer reaction to Greenwashing 13. Green Finance and Artificial Intelligence : The Role Of Higher Education Institutions In Building Sustainable Future 14. Integrating Data Analytics, AI, and Machine Learning to Optimize Environmental Impact and Foster Green Innovation 15. Artificial intelligence in Business Management and Its Impact on Sustainable Finance: A Bibliometric Overview of Past, Present, and Future Trends


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Product Details
  • ISBN-13: 9781040388938
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Chapman and Hall
  • Language: English
  • Sub Title: AI and Automation for Sustainable Technologies
  • ISBN-10: 1040388930
  • Publisher Date: 12 Aug 2025
  • Binding: Digital (delivered electronically)
  • Series Title: Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management


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