rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Enhancing sustainability in global supply chains with big data analytics
  name:
    name part: Hasan, Mohammad Kamrul
    role:
      role term: editor
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Khan, Tahsina
    name part: 1984-
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Hlali, Arbia
    name part: 1983-
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Emon, Md Mehedi Hasan
    name part: 1997-
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: IGI Global Online
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Foreword -- Preface -- Acknowledgment -- Chapter 1. Big Data-Enabled Transformation of Global Supply Chains: Integrating IoT, AI, XAI, and Governance for Sustainable and Resilient Operations -- Chapter 2. A Big Data-Driven MCDM Model for Sustainable Supplier Selection -- Chapter 3. Leveraging Big Data Analytics for Sustainable and Ethical Supply Chains -- Chapter 4. AI-Driven Big Data and Blockchain Convergence for Carbon Footprint Accountability in Global Supply Chains -- Chapter 5. Blockchain and Big Data Integration for Transparent and Traceable Supply Chains: A Literature Scoping Approach -- Chapter 6. Harnessing Big Data for Reverse Logistics and Waste Management: Pathways to Sustainable Supply Chains -- Chapter 7. Big Data-Driven Circularity: Enhancing Sustainability Through Closed-Loop Supply Chain Models -- Chapter 8. From Transparency to Circularity: Enhancing Supply Chain Sustainability Through Big Data -- Chapter 9. Quantum-Inspired Big Data Analytics for Sustainable and Resilient Global Supply Chains -- Chapter 10. Policy, Governance, and Global Collaboration for Data-Driven Sustainable Supply Chains: A Study on the Least Developed Countries -- Compilation of References -- About the Contributors -- Index.
  note: [edited by] Mohammad Kamrul Hasan, Tahsina Khan, Arbia Hlali, Md Mehedi Hasan Emon.
  subject:
    topic: Supply chain management
  subject:
    topic: Sustainable development
  subject:
    topic: Big data
  subject:
    topic: Développement durable
  subject:
    topic: sustainable development
  classification: HD38.6 .E53 2026
  classification: 658.500285
  related item:
    title info:
      title: Enhancing sustainability in global supply chains with big data analytics
    origin info:
      publisher: Hershey : IGI Global Scientific Publishing, 2026
    identifier: (DLC) 2025042334
  related item:
    identifier: (DLC) 2025042333
    identifier: (OCoLC)1569878371
  identifier: 9798337368986
  identifier: 9798337368962
  identifier: 9798337368979
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 260310
    record change date: 20260322141224.7
    record identifier: in00005786605
    language of cataloging:
      language term: eng