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Big data for a sustainable future

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  • Hubert Gijzen

    (UNESCO Regional Science Bureau for Asia and the Pacific)

Abstract

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Suggested Citation

  • Hubert Gijzen, 2013. "Big data for a sustainable future," Nature, Nature, vol. 502(7469), pages 38-38, October.
    • Handle: RePEc:nat:nature:v:502:y:2013:i:7469:d:10.1038_502038d
    DOI: 10.1038/502038d
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    Cited by:

    1. Salem Ahmed Alabdali & Salvatore Flavio Pileggi & Dilek Cetindamar, 2023. "Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review," Sustainability, MDPI, vol. 15(10), pages 1-38, May.
    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. Broccardo, Laura & Truant, Elisa & Dana, Léo-Paul, 2023. "The interlink between digitalization, sustainability, and performance: An Italian context," Journal of Business Research, Elsevier, vol. 158(C).
    4. Sebastian Emanuel Stan & Camelia Oprean-Stan & Aurel Mihail Țîțu, 2020. "Digitalization - Sustainable Development Convergence: Metrics And Effects In Romania," Management of Sustainable Development, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(1), pages 1-9, June.
    5. Idiano D’Adamo & Assunta Di Vaio & Alessandro Formiconi & Antonio Soldano, 2022. "European IoT Use in Homes: Opportunity or Threat to Households?," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    6. AlNuaimi, Bader Khamis & Khan, Mehmood & Ajmal, Mian M., 2021. "The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis," Technological Forecasting and Social Change, Elsevier, vol. 169(C).

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