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: Digital twins and ESG
  name:
    name part: Mondal, Surajit
    role:
      role term: editor.
  name:
    name part: Kumar, Adesh
    role:
      role term: editor.
  name:
    name part: Khan, Mudassir
    name part: (Computer scientist)
    role:
      role term: editor.
  name:
    name part: Knovel (Firm)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (448 pages)
  abstract: Digital Twins and ESG provides essential insight on how integrating cutting-edge Digital Twin technology with ESG practices can transform the understanding of sustainability and propel businesses towards a more transparent, accountable, and responsible future. Digital Twins and ESG introduces the dynamic world of ESG practices, emphasizing the pivotal role technology plays in shaping and advancing sustainability goals. It introduces readers to the multifaceted world of Digital Twin technology, offering a comprehensive understanding of its historical development and diverse applications across industries. This volume will intricately examine the integration of Digital Twins in ESG metrics and reporting frameworks. Artificial intelligence, machine learning, and blockchain technologies are also discussed as key enablers for achieving ESG goals, providing readers with a glimpse into the potential advancements and breakthroughs that lie ahead. Through detailed analyses and case studies, readers will gain insights into how Digital Twins enhance data collection, monitoring, and reporting, elevating transparency and accountability. Digital Twins and ESG serves as a rallying call, urging businesses to embrace Digital Twins as an integral component of their ESG strategies, ultimately paving the way for a more sustainable and responsible future.
  note: edited by Surajit Mondal, Adesh Kumar, Mudassir Khan.
  subject:
    topic: Digital twins (Computer simulation)
  subject:
    topic: Social responsibility of business
    topic: Technological innovations
  subject:
    topic: Entreprises
    topic: Responsabilité sociale
    topic: Innovations
  subject:
    topic: Intelligence (AI) & Semantics
  subject:
    topic: COMPUTERS
  subject:
    topic: Social responsibility of business
  classification: T57.62
  classification: 003.3
  identifier: 9781394303229
  identifier: 139430322X
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UKMGB
    record creation date: 250814
    record change date: 20260121211552.7
    record identifier: in00005677038
    language of cataloging:
      language term: eng