Dr. Veena Grover is a Professor in Department of Management at Noida Institute of Engineering & Technology, India. Her interests include Micro Finance, Sustainability, Macro Economic Variables, and Innovation Strategy. She has published multiple articles in various journals and presented papers in various conferences. At present, she is guiding four research scholars and serves as an Editor of International Journal of Advanced Trends in Technology, Management & Applied Science.Dr. Balamurugan Balusamy is currently working as Associate Dean–Student Engagement in Shiv Nadar University, India. He has 15 years of experience in the field of computer science. His areas of interest are Internet of Things, Big data, Networking. He has published more than 100 papers and contributed multiple book chapters.Dr. Mariofanna Milanova is a Professor in Computer Science at the University of Arkansas at Little Rock, USA. She has 30 years of experience in the field of artificial intelligence. Dr. Milanova has extensive academic experience at various academic and research organizations worldwide. Dr. Milanova is an IEEE Senior Member, Fulbright U.S. Scholar, and NVIDIA Deep Learning Institute University Ambassador. Dr. Milanova’s work is supported by NSF, NIH, DARPA, DoD, Homeland Security, and NATO as well as Nokia Bell Lab, NJ, USA and NOKIA, Finland. She has published more than 130 publications, over 53 journal papers, 35 book chapters, and numerous conference papers. She also has two patents.Dr. A. Yovan Felix has mentored students in the project areas of Big Data, Deep Learning, and Data Mining. He has published technical papers in national and international journals. He has over 17 years of experience and expertise in data analytics, smart prediction systems, and deep learning algorithms. He also coordinated in organizing several events at both national and international levels.

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• Chapter 1: Supply Chain Management Strategy and Practices: Traditional Vs Advanced.- Chapter 2: Convergence of IoT, Artificial Intelligence and Blockchain Approaches for Applications in Supply Chain Management.- Chapter 3: Value Creation in Blockchain-Driven Supply Chain Financing Opportunities.- Chapter 4: Artificial Intelligence Applications for Demand Forecasting & Optimization.- Chapter 5: AI-Enabled Supply Chain Planning and Execution: A Pathway to Sustainability.- Chapter 6: Leveraging IOT In Supply Chain Sustainability: A Provenance Perspective.- Chapter 7: AI And Machine Learning in Supply Chain Optimization: Mapping the Territory.- Chapter 8: Blockchain and IoT Integration Based Transparency of Supply Chain Social Sustainability.- Chapter 9: Integration of Blockchain, IoT, And AI In Supply Chain Management: A New Paradigm for Supply Chain Integration and Collaboration.- Chapter 10: Challenges of Supply Chain Management Post COVID-19: Mitigation Strategies and Practical Lessons Learned.- Chapter 11: Supply Chain 4.0: Autonomous Vehicles and Delivery Robots in Supply Chain Management.- Chapter 12: Blockchain for the Future of Sustainable Supply Chain Management in Industry 4.0.- Chapter 13: Managing the Dynamics of New Technologies in The Global Supply Chain.- Chapter 14: Future Trends and Challenges in Supply Chain Technology.- Chapter 15: Real-World Applications of Generative AI for Data Augmentation.- Chapter 16: Case Studies and Best Practices in Supply Chain Management.

Dr. Veena Grover is a Professor in Department of Management at Noida Institute of Engineering & Technology, India. Her interests include Micro Finance, Sustainability, Macro Economic Variables, and Innovation Strategy. She has published multiple articles in various journals and presented papers in various conferences. At present, she is guiding four research scholars and serves as an Editor of International Journal of Advanced Trends in Technology, Management & Applied Science.Dr. Balamurugan Balusamy is currently working as Associate Dean–Student Engagement in Shiv Nadar University, India. He has 15 years of experience in the field of computer science. His areas of interest are Internet of Things, Big data, Networking. He has published more than 100 papers and contributed multiple book chapters.Dr. Mariofanna Milanova is a Professor in Computer Science at the University of Arkansas at Little Rock, USA. She has 30 years of experience in the field of artificial intelligence. Dr. Milanova has extensive academic experience at various academic and research organizations worldwide. Dr. Milanova is an IEEE Senior Member, Fulbright U.S. Scholar, and NVIDIA Deep Learning Institute University Ambassador. Dr. Milanova’s work is supported by NSF, NIH, DARPA, DoD, Homeland Security, and NATO as well as Nokia Bell Lab, NJ, USA and NOKIA, Finland. She has published more than 130 publications, over 53 journal papers, 35 book chapters, and numerous conference papers. She also has two patents.Dr. A. Yovan Felix has mentored students in the project areas of Big Data, Deep Learning, and Data Mining. He has published technical papers in national and international journals. He has over 17 years of experience and expertise in data analytics, smart prediction systems, and deep learning algorithms. He also coordinated in organizing several events at both national and international levels.

Select Guide Rating

• Chapter 1: Supply Chain Management Strategy and Practices: Traditional Vs Advanced.- Chapter 2: Convergence of IoT, Artificial Intelligence and Blockchain Approaches for Applications in Supply Chain Management.- Chapter 3: Value Creation in Blockchain-Driven Supply Chain Financing Opportunities.- Chapter 4: Artificial Intelligence Applications for Demand Forecasting & Optimization.- Chapter 5: AI-Enabled Supply Chain Planning and Execution: A Pathway to Sustainability.- Chapter 6: Leveraging IOT In Supply Chain Sustainability: A Provenance Perspective.- Chapter 7: AI And Machine Learning in Supply Chain Optimization: Mapping the Territory.- Chapter 8: Blockchain and IoT Integration Based Transparency of Supply Chain Social Sustainability.- Chapter 9: Integration of Blockchain, IoT, And AI In Supply Chain Management: A New Paradigm for Supply Chain Integration and Collaboration.- Chapter 10: Challenges of Supply Chain Management Post COVID-19: Mitigation Strategies and Practical Lessons Learned.- Chapter 11: Supply Chain 4.0: Autonomous Vehicles and Delivery Robots in Supply Chain Management.- Chapter 12: Blockchain for the Future of Sustainable Supply Chain Management in Industry 4.0.- Chapter 13: Managing the Dynamics of New Technologies in The Global Supply Chain.- Chapter 14: Future Trends and Challenges in Supply Chain Technology.- Chapter 15: Real-World Applications of Generative AI for Data Augmentation.- Chapter 16: Case Studies and Best Practices in Supply Chain Management.

Dr. Veena Grover is a Professor in Department of Management at Noida Institute of Engineering & Technology, India. Her interests include Micro Finance, Sustainability, Macro Economic Variables, and Innovation Strategy. She has published multiple articles in various journals and presented papers in various conferences. At present, she is guiding four research scholars and serves as an Editor of International Journal of Advanced Trends in Technology, Management & Applied Science.Dr. Balamurugan Balusamy is currently working as Associate Dean–Student Engagement in Shiv Nadar University, India. He has 15 years of experience in the field of computer science. His areas of interest are Internet of Things, Big data, Networking. He has published more than 100 papers and contributed multiple book chapters.Dr. Mariofanna Milanova is a Professor in Computer Science at the University of Arkansas at Little Rock, USA. She has 30 years of experience in the field of artificial intelligence. Dr. Milanova has extensive academic experience at various academic and research organizations worldwide. Dr. Milanova is an IEEE Senior Member, Fulbright U.S. Scholar, and NVIDIA Deep Learning Institute University Ambassador. Dr. Milanova’s work is supported by NSF, NIH, DARPA, DoD, Homeland Security, and NATO as well as Nokia Bell Lab, NJ, USA and NOKIA, Finland. She has published more than 130 publications, over 53 journal papers, 35 book chapters, and numerous conference papers. She also has two patents.Dr. A. Yovan Felix has mentored students in the project areas of Big Data, Deep Learning, and Data Mining. He has published technical papers in national and international journals. He has over 17 years of experience and expertise in data analytics, smart prediction systems, and deep learning algorithms. He also coordinated in organizing several events at both national and international levels.

Select Guide Rating

• Chapter 1: Supply Chain Management Strategy and Practices: Traditional Vs Advanced.- Chapter 2: Convergence of IoT, Artificial Intelligence and Blockchain Approaches for Applications in Supply Chain Management.- Chapter 3: Value Creation in Blockchain-Driven Supply Chain Financing Opportunities.- Chapter 4: Artificial Intelligence Applications for Demand Forecasting & Optimization.- Chapter 5: AI-Enabled Supply Chain Planning and Execution: A Pathway to Sustainability.- Chapter 6: Leveraging IOT In Supply Chain Sustainability: A Provenance Perspective.- Chapter 7: AI And Machine Learning in Supply Chain Optimization: Mapping the Territory.- Chapter 8: Blockchain and IoT Integration Based Transparency of Supply Chain Social Sustainability.- Chapter 9: Integration of Blockchain, IoT, And AI In Supply Chain Management: A New Paradigm for Supply Chain Integration and Collaboration.- Chapter 10: Challenges of Supply Chain Management Post COVID-19: Mitigation Strategies and Practical Lessons Learned.- Chapter 11: Supply Chain 4.0: Autonomous Vehicles and Delivery Robots in Supply Chain Management.- Chapter 12: Blockchain for the Future of Sustainable Supply Chain Management in Industry 4.0.- Chapter 13: Managing the Dynamics of New Technologies in The Global Supply Chain.- Chapter 14: Future Trends and Challenges in Supply Chain Technology.- Chapter 15: Real-World Applications of Generative AI for Data Augmentation.- Chapter 16: Case Studies and Best Practices in Supply Chain Management.