{"product_id":"next-gen-supply-chains-ai-automation-and-sustainability-in-a-disrupted-world-hardback-9781836690740","title":"Next-Gen Supply Chains; AI, Automation, and Sustainability in a Disrupted World (Hardback) 9781836690740","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eNext-Gen Supply Chains\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eAI, Automation, and Sustainability in a Disrupted World\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003ePankaj Bhambri (Edited by), P Bhambri (Author), Pushan Kumar Dutta (Edited by), Mudassir Khan (Edited by), Marta Starostka-Patyk (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781836690740, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 24 March 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e416 pages\u003cbr\u003e23.5 x 15.6 x 2.6 cm, 0.862 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eIn an era defined by global disruptions, sustainability mandates and rapid technological advancement, \u003ci\u003eNext-Gen Supply Chains\u003c\/i\u003e provides an essential roadmap for navigating the complex transformation of global supply networks. This comprehensive book moves beyond isolated trends to present an integrated framework where generative AI, blockchain, autonomous systems and the Internet of Things converge to build resilient, efficient and responsible operations.\u003c\/p\u003e \u003cp\u003eThis book masterfully bridges the critical gap between theoretical concepts and practical implementation, offering readers actionable strategies, detailed case studies from industry leaders such as Amazon and Lenovo, and robust frameworks for risk management, ethical AI governance and circular economy integration. With its unique emphasis on the synergy between technological innovation and the necessary human capital development, the book is an indispensable resource for supply chain executives, operations managers, technology implementers and academics seeking to future-proof their organizations and master the strategic imperatives of the modern supply chain landscape.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xix\u003cbr\u003e\u003ci\u003ePankaj BHAMBRI, Pushan KUMAR DUTTA, Mudassir KHAN and Marta STAROSTKA-PATYK\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. AI and Automation: Building Resilient and Sustainable Supply Chains in Uncertain Times 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSanam SOOMRO, Mingyue FAN, Ranjeeta SADHWANI and Safia SOOMRO\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1. Introduction 1\u003cbr\u003e1.2. Understanding supply chain resilience 2\u003cbr\u003e1.3. Risk management frameworks 2\u003cbr\u003e1.4. Impact of the pandemic on supply chain vulnerabilities 3\u003cbr\u003e1.5. Building resilience post-pandemic 5\u003cbr\u003e1.6. The future of supply chain resilience 7\u003cbr\u003e1.7. Conclusion 10\u003cbr\u003e1.8. References 11\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Generative AI's Impact on Supply Chain Decision-Making 17\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePankaj BHAMBRI and Himani SHARMA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1. Introduction 17\u003cbr\u003e2.2. Literature review 18\u003cbr\u003e2.3. Comparison table 22\u003cbr\u003e2.4. Challenges 28\u003cbr\u003e2.5. Technologies 29\u003cbr\u003e2.6. Future scope 30\u003cbr\u003e2.7. References 31\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. Circular Supply Chain Economics 35\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVijay Kumar SINHA and Balajee MARAM\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1. Introduction 35\u003cbr\u003e3.2. Conceptual foundations 36\u003cbr\u003e3.3. Circular supply-chain economic mechanisms 37\u003cbr\u003e3.4. Demand and revenue models 38\u003cbr\u003e3.5. Operations research models: closed-loop inventory, pricing and remanufacturing 40\u003cbr\u003e3.6. Metrics for businesses and products 41\u003cbr\u003e3.7. Rules and standards set by the government 44\u003cbr\u003e3.8. Changes in jobs and structures 45\u003cbr\u003e3.9. Case studies and empirical evidence 45\u003cbr\u003e3.10. Barriers and enablers 46\u003cbr\u003e3.11. Evidence from the real-world and case studies 47\u003cbr\u003e3.12. Things that get in the way and things that help 48\u003cbr\u003e3.13. A plan for companies to follow to put it into action 51\u003cbr\u003e3.14. Research priorities and gaps 51\u003cbr\u003e3.15. Conclusion 52\u003cbr\u003e3.16. References 53\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. IoT Architecture for End-to-End Visibility 59\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMarta STAROSTKA-PATYK\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1. Introduction 59\u003cbr\u003e4.2. Visibility of supply chains 60\u003cbr\u003e4.3. Internet of Things (IoT) in logistics and supply chains 61\u003cbr\u003e4.4. IoT for end-to-end visibility in supply chains 64\u003cbr\u003e4.5. IoT challenges and barriers to end-to-end visibility in supply chains 66\u003cbr\u003e4.6. The future of IoT in supply chains and their visibility E2E 68\u003cbr\u003e4.7. Conclusions 69\u003cbr\u003e4.8. References 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. Building Blocks of a Transparent IoT Ecosystem 73\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBhagwat KAULWAR, Milind GODASE, Chandrani SINGH and Pankaj BHAMBRI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1. Introduction 74\u003cbr\u003e5.2. Characteristics of IoT 76\u003cbr\u003e5.3. IoT architecture 77\u003cbr\u003e5.4. IoT as XaaS 80\u003cbr\u003e5.5. Conclusion 83\u003cbr\u003e5.6. References 84\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. Blockchain Implementation for Supply Chain Transparency Modeling 87\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHelena KOSCIELNIAK\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1. Introduction 87\u003cbr\u003e6.2. Experimental methods and materials 89\u003cbr\u003e6.3. Results and discussion: case studies 90\u003cbr\u003e6.4. Conclusion 98\u003cbr\u003e6.5. References 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7. Autonomous Systems in Supply Chain Operations 101\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAgnieszka PACUD\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1. Introduction 101\u003cbr\u003e7.2. Objective and scope of the chapter 104\u003cbr\u003e7.3. Research procedure 104\u003cbr\u003e7.4. Analysis of results and discussion 106\u003cbr\u003e7.5. Conclusions 111\u003cbr\u003e7.6. References 113\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8. Leveraging Data and Analytics for Next-Generation Supply Chain Resilience 117\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKarina ZACHARSKA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1. Introduction 117\u003cbr\u003e8.2. The challenges of today's supply chains 119\u003cbr\u003e8.3. The role of data as the foundation for optimization 119\u003cbr\u003e8.4. The importance of data in supply chain management 120\u003cbr\u003e8.5. Technologies supporting data collection and analysis 121\u003cbr\u003e8.6. Analytical methods and optimization models in supply chain management 126\u003cbr\u003e8.7. Conclusion 129\u003cbr\u003e8.8. References 130\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9. Data-driven Supply Chain Optimization 133\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRafa³ NIEDBAL, Paula PYP£ACZ and Muhammad Asif KHAN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1. Introduction 133\u003cbr\u003e9.2. Literature review 134\u003cbr\u003e9.3. Automated ML in supply chain optimization 140\u003cbr\u003e9.4. Conclusion 151\u003cbr\u003e9.5. References 152\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10. Sustainability Transformation Roadmaps 159\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePaula BAJDOR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1. Introduction 159\u003cbr\u003e10.2. Sustainability transformation 161\u003cbr\u003e10.3. Sustainability roadmap structures 162\u003cbr\u003e10.4. Building a sustainable transformation roadmap 169\u003cbr\u003e10.5. Conclusion 171\u003cbr\u003e10.6. References 172\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11. Reimagining Supply Chains: Nearshoring and Network Redesign in the Age of AI, Automation and Sustainability 175\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJeffy JOHNSON\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1. Introduction 176\u003cbr\u003e11.2. Experimental methods and materials 176\u003cbr\u003e11.3. Nearshoring as a resilience strategy 176\u003cbr\u003e11.4. Conceptual foundations of nearshoring 177\u003cbr\u003e11.5. Drivers of nearshoring adoption 177\u003cbr\u003e11.6. Benefits of nearshoring 178\u003cbr\u003e11.7. Challenges and risks of nearshoring 179\u003cbr\u003e11.8. Industry case studies 180\u003cbr\u003e11.9. Theoretical and analytical frameworks 181\u003cbr\u003e11.10. Future directions in nearshoring research 181\u003cbr\u003e11.11. Network redesign and digital twins 181\u003cbr\u003e11.12. Challenges and future directions 184\u003cbr\u003e11.13. Sustainability and ESG compliance in supply chains 187\u003cbr\u003e11.14. Analysis of supply chain performance graphs 189\u003cbr\u003e11.15. Recommendations 192\u003cbr\u003e11.16. Conclusion 193\u003cbr\u003e11.17. References 193\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12. Digital Supply Chain Talent Development: Preparing the Workforce for Next-Gen Supply Chains 197\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePankaj BHAMBRI and Sita RANI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1. Introduction: the looming talent crisis in a digital era 197\u003cbr\u003e12.2. Defining the next-generation supply chain professional 200\u003cbr\u003e12.3. A strategic framework for talent development 202\u003cbr\u003e12.4. The critical role of academia and industry partnerships 205\u003cbr\u003e12.5. Case study: building a future-ready talent pipeline in practice 206\u003cbr\u003e12.6. Conclusion: securing competitive advantage through strategic talent management 207\u003cbr\u003e12.7. References 210\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13. Change Management for Supply Chain Transformation 213\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eS. KAVITHAMBIKA, K.M. SANTHOSHA, R. KIRAN and Pankaj BHAMBRI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1. Introduction 213\u003cbr\u003e13.2. Theoretical foundations of change management 214\u003cbr\u003e13.3. Framework for supply chain change management 219\u003cbr\u003e13.4. Importance of leadership and governance structures 221\u003cbr\u003e13.5. Challenges and barriers 221\u003cbr\u003e13.6. Enablers and best practices 222\u003cbr\u003e13.7. The future 222\u003cbr\u003e13.8. References 223\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14. Future Horizons: Emerging Technologies and Models 227\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKrishi Pallab SAIKIA, Debjit DHAR, Rik DAS and Saranik MAHAPATRA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1. Introduction 228\u003cbr\u003e14.2. A unified framework for intelligent data migration 231\u003cbr\u003e14.3. The role of generative AI in cross-domain data migration 237\u003cbr\u003e14.4. Real-world applications across domains: bridging petrochemical and medical data ecosystems 241\u003cbr\u003e14.5. Synthetic evaluation and performance metrics 246\u003cbr\u003e14.6. Future directions 250 14.6.1. Explainable AI for semantic transformation 251\u003cbr\u003e14.7. Conclusion 252\u003cbr\u003e14.8. References 252\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15. Cybersecurity and Zero Trust Architectures in Supply Chains 255\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eP. ASHOK, Venkatesh RAMAMURTHY, S. Lakshmi SRIDEVI and K. Murali KRISHNA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1. Introduction 256\u003cbr\u003e15.2. Literature review 256\u003cbr\u003e15.3. Architectures in supply chain landscape 258\u003cbr\u003e15.4. The pillars of Zero Trust in the supply chain context 260\u003cbr\u003e15.5. Implementing ZTA: an architectural shift 263\u003cbr\u003e15.6. Zero Trust for next-generation supply chain technologies 263\u003cbr\u003e15.7. Technical challenges\/limitations 263\u003cbr\u003e15.8. Future enhancements 264\u003cbr\u003e15.9. Conclusion 264\u003cbr\u003e15.10. References 265\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16. Additive Manufacturing and the Rise of Digital Inventory 271\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePankaj BHAMBRI and Mudassir KHAN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1. Introduction: the burden of physical inventory 271\u003cbr\u003e16.2. Defining the digital inventory paradigm 272\u003cbr\u003e16.3. Additive manufacturing as the enabling technology 273\u003cbr\u003e16.4. Strategic benefits: resilience, agility and cost redefinition 273\u003cbr\u003e16.5. The sustainability imperative: waste reduction and localized production 274\u003cbr\u003e16.6. Implementation challenges and considerations 275\u003cbr\u003e16.7. Future horizons: integrating digital inventory with AI and IoT 276\u003cbr\u003e16.8. Conclusion: a roadmap for adoption 278\u003cbr\u003e16.9. References 279\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17. Ethical and Social Governance of AI-enabled Supply Chains 283\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePankaj BHAMBRI and Marta STAROSTKA-PATYK\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1. Introduction: the imperative for ethical AI in global supply chains 283\u003cbr\u003e17.2. Core ethical challenges posed by supply chain AI 287\u003cbr\u003e17.3. Societal implications and stakeholder perspectives 289\u003cbr\u003e17.4. Frameworks for ethical AI governance in supply chains 291\u003cbr\u003e17.5. Implementing social governance: beyond compliance 293\u003cbr\u003e17.6. Building the governance infrastructure 295\u003cbr\u003e17.7. Metrics, reporting and continuous improvement 297\u003cbr\u003e17.8. Case studies: navigating ethical dilemmas 299\u003cbr\u003e17.9. Conclusion: toward responsible and trustworthy AI-powered supply chains 301\u003cbr\u003e17.10. References 303\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 18. Revolutionizing Supply Chains with Artificial Intelligence and Machine Learning: A Conceptual Model 307\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSunitaa TANK, Manika GARG and Bharat Kumar TANK\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1. Introduction 307\u003cbr\u003e18.2. Literature review 308\u003cbr\u003e18.3. Methodology 310\u003cbr\u003e18.4. Conceptual model 311\u003cbr\u003e18.5. Findings 313\u003cbr\u003e18.6. Implications 314\u003cbr\u003e18.7. Conclusion 315\u003cbr\u003e18.8. Future research directions 316\u003cbr\u003e18.9. References 317\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 19. Enabling AI in Supply Chain Transformation: An MCDM-Based Analysis of Critical Success Factors 321\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eTripti SHARMA, Akash RAI, Indrajit GHOSAL and Md. Rahat KHAN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1. Introduction 321\u003cbr\u003e19.2. Literature review 323\u003cbr\u003e19.3. Methodology 326\u003cbr\u003e19.4. Findings and discussion 330\u003cbr\u003e19.5. Conclusion and future work 333\u003cbr\u003e19.6. References 334\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 20. Sustainable Intelligence: Aligning Ethical AI in Global Supply Chain Systems 337\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eGagandeep SINGH, Jasdeep Singh WALIA and Priya MANDIRATTA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1. Introduction 337\u003cbr\u003e20.2. Review of the literature 338\u003cbr\u003e20.3. Research gap 343\u003cbr\u003e20.4. Theoretical framework 344\u003cbr\u003e20.5. Proposed framework concerning sustainable intelligence in AI-enabled supply chains 347\u003cbr\u003e20.6. Implications of the study 350\u003cbr\u003e20.7. Conclusion and scope for future research work 353\u003cbr\u003e20.8. References 354\u003c\/p\u003e \u003cp\u003eList of Authors 359\u003cbr\u003eIndex 365\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446832656664,"sku":"9781836690740","price":123.25,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781836690740.jpg?v=1785115192","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/next-gen-supply-chains-ai-automation-and-sustainability-in-a-disrupted-world-hardback-9781836690740","provider":"Freshly Printed Books","version":"1.0","type":"link"}