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: Big data for entrepreneurship and sustainable development
  name:
    name part: Abdelli, Mohammed El Amine
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: "This book provides insight for researchers and decision-makers on the application of data in the entrepreneurship and sustainable development sector. This book covers how Big Data for Industry 4.0 and Entrepreneurship are effective in resolving business, social, and economic problems. The book discusses how entrepreneurs use big data to cut costs and minimize the waste of time. It offers how using big data can increase efficiency, enables the studying of competitors, can improve the pricing of products, increase sales and loyalty, and can ensure the right people are hired. The book presents how decision-makers can make use of big data to resolve economic and social problems. Analyze the development of the economy and enhance the business climate. This book is for researchers, PhD students, Entrepreneurs, and can also be of interest for transformation of governments and businesses"--
  note: edited by Mohammed El Amine Abdelli [and three others].
  note: Includes bibliographical references and index.
  subject:
    topic: Entrepreneurship
    topic: Statistical methods
  subject:
    topic: Sustainable development
    topic: Statistical methods
  subject:
    topic: Big data
  subject:
    topic: Entrepreneuriat
    topic: Méthodes statistiques
  subject:
    topic: Développement durable
    topic: Méthodes statistiques
  subject:
    topic: Données volumineuses
  subject:
    topic: TECHNOLOGY / Manufacturing
  subject:
    topic: Big data
  subject:
    topic: Sustainable development
    topic: Statistical methods
  classification: HB615 .B54 2022
  classification: 338/.040727
  related item:
    title info:
      title: Big data for entrepreneurship and sustainable development
    origin info:
      publisher: Boca Raton : CRC Press, 2022
      edition: First edition.
    identifier: (DLC) 2021016367
  related item:
    title info:
      title: Big data for industry 4.0
  identifier: 9781003090045
  identifier: 1003090044
  identifier: 1000454401
  identifier: 9781000454444
  identifier: 1000454444
  identifier: 9781000454406
  identifier: 9780367546632
  identifier: 9780367546649
  identifier: 2021016368
  identifier: 9781003090045 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 210505
    record change date: 20241108170159.9
    record identifier: in00005524907
    language of cataloging:
      language term: eng