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Building environmentally sustainable information services: A green is research agenda

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  • Gobinda Chowdhury

Abstract

Climate change has become a major area of concern over the past few years and consequently many governments, international bodies, businesses, and institutions are taking measures to reduce their carbon footprint. However, to date very little research has taken place on information and sustainable development in general, and on the environmental impact of information services in particular. Based on the data collected from various research papers and reports, this review article shows that information systems and services for the higher education and research sector currently generate massive greenhouse gas (GHG) emissions, and it is argued that there is an urgent need for developing a green information service, or green IS in short, that should be based on minimum GHG emissions throughout its lifecycle, from content creation to distribution, access, use, and disposal. Based on an analysis of the current research on green information technology (IT), it is proposed that a green IS should be based on the model of cloud computing. Finally, a research agenda is proposed that will pave the way for building and managing green ISs to support education and research/scholarly activities.

Suggested Citation

  • Gobinda Chowdhury, 2012. "Building environmentally sustainable information services: A green is research agenda," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(4), pages 633-647, April.
  • Handle: RePEc:bla:jamist:v:63:y:2012:i:4:p:633-647
    DOI: 10.1002/asi.21703
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    Cited by:

    1. Kuan-Siew Khor & Ramayah Thurasamy & Noor Hazlina Ahmad & Hasliza Abdul Halim & Lo May-Chiun, 2015. "Bridging the Gap of Green IT/IS and Sustainable Consumption," Global Business Review, International Management Institute, vol. 16(4), pages 571-593, August.
    2. Hatice Demirtas Dogan & Bulut Gurpinar, 2023. "Green Libraries and the User’s Perspective: A Case Study in Turkey," SAGE Open, , vol. 13(4), pages 21582440231, December.
    3. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    4. Katundu Imasiku & Valerie Thomas & Etienne Ntagwirumugara, 2019. "Unraveling Green Information Technology Systems as a Global Greenhouse Gas Emission Game-Changer," Administrative Sciences, MDPI, vol. 9(2), pages 1-29, June.

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