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Sustainable Development Plan for Korea through Expansion of Green IT: Policy Issues for the Effective Utilization of Big Data

Author

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  • Hyun Baek

    (IBM-Korea, Dogok 2-Dong 467-12, Gangnam-Gu, Seoul 135-856, Korea)

  • Sun-Kyoung Park

    (Hanyang Cyber University, Wangsimri-Ro 222, Sungdong-gu, Seoul 133-791, Korea)

Abstract

The South Korean government is providing full support for green IT as one of the growth engines of Korea. The purpose of this study is to derive policy issues needed for the sustainable development of Korea through utilizing Big Data by applying green IT. The analysis is done using a Delphi technique. Results show that the establishment of computing platforms that can easily share data and generate value is prioritized for the effective use of Big Data from the environment. In addition, the government-led publication of genetic information and electronic medical records for research purposes has been derived as an important policy issue for the use of bio-Big Data. Besides, a guideline concerning the standardization of machine to machine and Internet of Things communication and data security is needed to effectively use Big Data from machines/things. Moreover, a review of legislation related to the utilization of Big Data from digital media has been derived as an important policy issue. The results of this study propose the direction in which the Korean government should move for green growth through effective utilization of Big Data. The results can be also useful resources for establishing relevant policies for various countries that are accelerating sustainable development.

Suggested Citation

  • Hyun Baek & Sun-Kyoung Park, 2015. "Sustainable Development Plan for Korea through Expansion of Green IT: Policy Issues for the Effective Utilization of Big Data," Sustainability, MDPI, vol. 7(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:2:p:1308-1328:d:45156
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    References listed on IDEAS

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    1. Delin Zeng & Xiangfei Fu & Taohua Ouyang, 2018. "Implementing Green IT Transformation for Sustainability: A Case Study in China," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    2. 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.
    3. Venkatesh Mani & Catarina Delgado & Benjamin T. Hazen & Purvishkumar Patel, 2017. "Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain," Sustainability, MDPI, vol. 9(4), pages 1-21, April.
    4. Truong Thi Thu Thuy & Jungmu Kim, 2018. "Sustainability Managed against Downside Risk and the Cost of Equity: Evidence in Korea," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    5. Sang-Oh Shim & KyungBae Park, 2016. "Technology for Production Scheduling of Jobs for Open Innovation and Sustainability with Fixed Processing Property on Parallel Machines," Sustainability, MDPI, vol. 8(9), pages 1-10, September.

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