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Use of Big Data to Improve Environmental Sustainability in Developing Countries

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  • Maged Adel Abdo Mukred
  • Zheng Jianguo

Abstract

Big data inhibits the ability to significantly impact a wide range of fields in an economy, from the government sector to commercial sectors like retail and healthcare. Not only has it altered the way companies assess their product’s demand and supply patterns but has also phenomenally helped in making the environment healthier in recent years. It carries the ability to identify valuable data from a huge dataset with exceptional parallel processing. This study presents the general introduction of big data bringing forth its various features and advantages along with the challenges which organizations face while using with respect to environmental sustainability. Observations have also been made on the findings of various researches, and studies and surveys performed by some international organizations in the recent years on the urgent need of taking necessary measures and initiatives to prevent further depletion of natural resources thus making the environment sustainable. Making the issue the study aim, future studies must intend to explore how multinational corporations can enhance environmental sustainability through big data analytics. Lastly, recommendations have been made to organisations– private and public in hiring adequate expertise and set-up, thereby making big data analytics more efficient and reliable.

Suggested Citation

  • Maged Adel Abdo Mukred & Zheng Jianguo, 2017. "Use of Big Data to Improve Environmental Sustainability in Developing Countries," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(11), pages 249-249, October.
  • Handle: RePEc:ibn:ijbmjn:v:12:y:2017:i:11:p:249
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    References listed on IDEAS

    as
    1. Ali Kharrazi & Hua Qin & Yi Zhang, 2016. "Urban Big Data and Sustainable Development Goals: Challenges and Opportunities," Sustainability, MDPI, vol. 8(12), pages 1-6, December.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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