Pankaj Dutta – författare

This timely Handbook demonstrates how AI can be used to create circular economies with the goal of reducing waste, reusing waste products and protecting the planet. Leading scholars from across the globe highlight the potential of circular economies to transform operational approaches, moving beyond the traditional and unsustainable ’take-make-dispose’ model.Through extensive research and case studies, this Handbook illustrates how AI can facilitate the shift to a circular economy by optimizing a decision-making framework that results in better choices, more efficient processes and streamlined outcomes. By adopting interdisciplinary perspectives which draw on sustainability, operations and ethics studies, contributing authors analyze the benefits of AI in key areas, including healthcare, supply chains, marketing, product design and manufacturing. Ultimately, this Handbook outlines how AI can reduce the complexity of circular transitions to accelerate systemic, cross-sector change.The Handbook on Artificial Intelligence and the Circular Economy is a valuable resource for scholars and students of environmental policy, environmental economics, technology management, industrial engineering and human geography. It is also useful for policy-makers, business managers and operations and supply chain management professionals interested in the practical applications of AI to enhance sustainability.

This timely Handbook demonstrates how AI can be used to create circular economies with the goal of reducing waste, reusing waste products and protecting the planet. Leading scholars from across the globe highlight the potential of circular economies to transform operational approaches, moving beyond the traditional and unsustainable 'take-make-dispose' model.Through extensive research and case studies, this Handbook illustrates how AI can facilitate the shift to a circular economy by optimizing a decision-making framework that results in better choices, more efficient processes and streamlined outcomes. By adopting interdisciplinary perspectives which draw on sustainability, operations and ethics studies, contributing authors analyze the benefits of AI in key areas, including healthcare, supply chains, marketing, product design and manufacturing. Ultimately, this Handbook outlines how AI can reduce the complexity of circular transitions to accelerate systemic, cross-sector change.The Handbook on Artificial Intelligence and the Circular Economy is a valuable resource for scholars and students of environmental policy, environmental economics, technology management, industrial engineering and human geography. It is also useful for policy-makers, business managers and operations and supply chain management professionals interested in the practical applications of AI to enhance sustainability.

This timely Handbook demonstrates how AI can be used to create circular economies with the goal of reducing waste, reusing waste products and protecting the planet. Leading scholars from across the globe highlight the potential of circular economies to transform operational approaches, moving beyond the traditional and unsustainable 'take-make-dispose' model.Through extensive research and case studies, this Handbook illustrates how AI can facilitate the shift to a circular economy by optimizing a decision-making framework that results in better choices, more efficient processes and streamlined outcomes. By adopting interdisciplinary perspectives which draw on sustainability, operations and ethics studies, contributing authors analyze the benefits of AI in key areas, including healthcare, supply chains, marketing, product design and manufacturing. Ultimately, this Handbook outlines how AI can reduce the complexity of circular transitions to accelerate systemic, cross-sector change.The Handbook on Artificial Intelligence and the Circular Economy is a valuable resource for scholars and students of environmental policy, environmental economics, technology management, industrial engineering and human geography. It is also useful for policy-makers, business managers and operations and supply chain management professionals interested in the practical applications of AI to enhance sustainability.

Asia has been a hub for e-commerce companies in the past decade and the growth trajectory narrates the story of bright future. Its growth has largely impacted the economic, social and technological advancements in every country and contributed to global trade. Nonetheless, the success and failure of e-commerce companies lies on various factors, some of which include product pricing, competition, strategies and business models. However, with surveys in India indicating how sale of counterfeit products remains a significant problem for online shoppers across many e-commerce sites, e-commerce companies claim they are taking tough steps to ensure that counterfeit products do not make their way to customers, by delisting fraud sellers, using tamper-proof packaging and monitoring warehouses.This book aims to unwrap the stories of e-commerce companies in Asia and how they have contributed to the society. It discusses the growth and failures of some e-commerce giants and looks at both theoretical and practical aspects of e-commerce by presenting the issues, challenges and successes of e-commerce businesses. It examines interdisciplinary and transdisciplinary aspects from micro and macro perspectives and links disciplines like strategy, management, entrepreneurship, competitiveness, finance, technology and operations.

This book includes selected papers from the International Conference on Emerging Trends in Business Analytics and Management Sciences, 57th Annual Convention of ORSI (BAMS 2024), held during December 12–14, 2024, at Victor Menezes Convention Center (VMCC), IIT Bombay, Mumbai, India. The book includes research works from engineers, researchers, and practitioners in the field of operations research and applications, machine learning, artificial intelligence and data science, big data, IoT, blockchain, cloud computing, inventory management and supply chain analytics, retail analytics, information systems and analytics, financial data analytics, marketing analytics, healthcare analytics, operations and project management, applied mathematics and simulation in business, analytics in strategy and competitiveness, analytics for environmental economics, circular economy and sustainability through business analytics, applied statistics in management, fuzzy logic and intelligent systems, and environment, social, and governance analytics.

This book includes selected papers from the International Conference on Emerging Trends in Business Analytics and Management Sciences, 57th Annual Convention of ORSI (BAMS 2024), held during December 12–14, 2024, at Victor Menezes Convention Center (VMCC), IIT Bombay, Mumbai, India. The book includes research works from engineers, researchers, and practitioners in the field of operations research and applications, machine learning, artificial intelligence and data science, big data, IoT, blockchain, cloud computing, inventory management and supply chain analytics, retail analytics, information systems and analytics, financial data analytics, marketing analytics, healthcare analytics, operations and project management, applied mathematics and simulation in business, analytics in strategy and competitiveness, analytics for environmental economics, circular economy and sustainability through business analytics, applied statistics in management, fuzzy logic and intelligent systems, and environment, social, and governance analytics.

This book includes selected papers from the International Conference on Emerging Trends in Business Analytics and Management Sciences, 57th Annual Convention of ORSI (BAMS 2024), held during December 12–14, 2024, at Victor Menezes Convention Center (VMCC), IIT Bombay, Mumbai, India. The book includes research works from engineers, researchers, and practitioners in the field of operations research and applications, machine learning, artificial intelligence and data science, big data, IoT, blockchain, and cloud computing, inventory management and supply chain analytics, retail analytics, information systems and analytics, financial data analytics, marketing analytics, healthcare analytics, operations and project management, applied mathematics and simulation in business, analytics in strategy and competitiveness, analytics for environmental economics, circular economy and sustainability through business analytics, applied statistics in management, fuzzy logic and intelligent systems, and environment, social, and governance analytics.