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Big Data in Life Cycle Assessment

Author

Listed:
  • Joyce Cooper
  • Michael Noon
  • Chris Jones
  • Ezra Kahn
  • Peter Arbuckle

Abstract

No abstract is available for this item.

Suggested Citation

  • Joyce Cooper & Michael Noon & Chris Jones & Ezra Kahn & Peter Arbuckle, 2013. "Big Data in Life Cycle Assessment," Journal of Industrial Ecology, Yale University, vol. 17(6), pages 796-799, December.
  • Handle: RePEc:bla:inecol:v:17:y:2013:i:6:p:796-799
    DOI: 10.1111/jiec.12069
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    Cited by:

    1. Agneta Ghose & Matteo Lissandrini & Emil Riis Hansen & Bo Pedersen Weidema, 2022. "A core ontology for modeling life cycle sustainability assessment on the Semantic Web," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 731-747, June.
    2. Ma-Lin Song & Ron Fisher & Jian-Lin Wang & Lian-Biao Cui, 2018. "Environmental performance evaluation with big data: theories and methods," Annals of Operations Research, Springer, vol. 270(1), pages 459-472, November.
    3. Guillaume Majeau‐Bettez & Jean‐Marc Frayret & Anu Ramaswami & Yang Li & Niko Heeren, 2022. "Data innovation in industrial ecology," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 6-11, February.
    4. Grischa Beier & Julian Kiefer & Jutta Knopf, 2022. "Potentials of big data for corporate environmental management: A case study from the German automotive industry," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 336-349, February.
    5. Eric Mieras & Anne Gaasbeek & Daniël Kan, 2019. "How to Seize the Opportunities of New Technologies in Life Cycle Analysis Data Collection: A Case Study of the Dutch Dairy Farming Sector," Challenges, MDPI, vol. 10(1), pages 1-9, January.

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