Green Engineering for Optimizing Firm Performance
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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

About the Author :
Dr. Sonal Trivedi is an Assistant Professor, VIT Business School, VIT Bhopal University, MadhyaPradesh, India. She has more than 12 years teaching experience. She has published 2 Books in National publication and 3 edited books Scopus Indexed. She has 7 patents granted. She has 20 Scopus Book chapters & 6 research papers in Scopus indexed journal. She has 22 research papers in UGC approved journals and 15 papers presented in International and National conferences. She has acted as conference chair in five international conferences. She is reviewer of 4 reputed journals. She has done her Ph.D. in Management (Finance) ‘A study on risk management tools and techniques in life insurance industry in India’ from University of Kota (Rajasthan) in 2017. She has also worked as Teaching Assistant in S.V. National Institute of Technology (NIT), Surat (Institute of National Importance under Ministry of Human Resource Development (MHRD), Government of India). Her areas of interest are Blockchain, finance, Banking and insurance. Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar University, Delhi-NCR. Prior to this assignment he was Professor, School of Computing Sciences & Engineering and Director International Relations at Galgotias University, Greater Noida, India. His contributions focus on Engineering Education, Block chain and Data Sciences. His Academic degrees and twelve years of experience working as a faculty in a global University like VIT University, Vellore has made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier and IEEE. He has done more than 80 Edited and authored books and collaborated with eminent professors across the world from top QS ranked university. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 12 years of experience with VIT University, Vellore. He has published 80+ books on various technologies and visited 15 plus countries for his technical course. He has several conferences in his resume and has published over 200 of quality journal, conference and book chapters combined. He serves in the advisory committee for several start-ups and forums and does consultancy work for industry on Industrial IOT. He has given over 195 talks in various events and symposiums. Dr. Liza Macasukit Gernal is a distinguished academic with over two decades of experience in the field, having contributed her expertise in various countries such as the Philippines, Oman, and the United Arab Emirates. Dr. Gernal holds a Ph.D. in Management from the prestigious University of Liverpool in the United Kingdom, as well as a Doctor in Management from Liceo de Cagayan University in the Philippines. To further her academic journey, she is a candidate for her AQ Bridge to Business program at the University of Toledo in Ohio, USA.Dr. Gernal is renowned for her groundbreaking research, which delves into the profound impact of human activities on ecosystems. She has also served as a dedicated mentor and supervisor to MBA and DBA students from Universidad de Catholica in Spain, nurturing the next generation of business leaders. Dr. Gernal's diverse research interests encompass environmental sustainability, human resource management, educational sustainability, AI in business, and various other business and technology-related fields. Mahmoud Ahmad Al-Khasawneh holds a B.Sc. degree in Computer Science from Yarmouk University, Jordan, conferred in 2003. He obtained both his M.Sc. and Ph.D. degrees in Computer Science from Universiti Teknologi Malaysia (UTM), Johor, Malaysia, in 2013 and 2018, respectively. Currently, he serves as a faculty memeber in the School of ComputingSkyline University College, Sharjah UAE. Dr. Al-Khasawneh's scholarly pursuits span a diverse array of fields within computer science. He has authored numerous papers in esteemed, peer-reviewed journals across leading publishers. His research interests encompass Security, Image Encryption, Wireless Networks, Blockchain, Internet of Things, and Big Data.


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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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