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The Digital Knowledge Economy Index: Mapping Content Production

Author

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  • Sanna Ojanperä
  • Mark Graham
  • Matthew Zook

Abstract

We propose the construction of a Digital Knowledge Economy Index, quantified by way of measuring content creation and participation through digital platforms, namely the code sharing platform GitHub, the crowdsourced encyclopaedia Wikipedia, and Internet domain registrations and estimating a fifth sub-index for the World Bank Knowledge Economy Index for year 2012. This approach complements conventional data sources such as national statistics and expert surveys and helps reflect the underlying digital content creation, capacities, and skills of the population. An index that combines traditional and novel data sources can provide a more revealing view of the status of the world’s digital knowledge economy and highlight where the (un)availability of digital resources may actually reinforce inequalities in the age of data.

Suggested Citation

  • Sanna Ojanperä & Mark Graham & Matthew Zook, 2019. "The Digital Knowledge Economy Index: Mapping Content Production," Journal of Development Studies, Taylor & Francis Journals, vol. 55(12), pages 2626-2643, December.
    • Handle: RePEc:taf:jdevst:v:55:y:2019:i:12:p:2626-2643
    DOI: 10.1080/00220388.2018.1554208
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    Citations

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    Cited by:

    1. Osho Awli & Evan Lau, 2023. "Digital and Sharing Economy for Sustainable Development: A Bibliometric and Systematic Review," Economies, MDPI, vol. 11(4), pages 1-21, March.
    2. Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Using Deep Learning Neural Networks to Predict the Knowledge Economy Index for Developing and Emerging Economies," MPRA Paper 109137, University Library of Munich, Germany.
    3. Naudé, Wim & Liebregts, Werner, 2020. "Digital Entrepreneurship Research: A Concise Introduction," IZA Discussion Papers 13667, Institute of Labor Economics (IZA).
    4. Naudé, Wim & Bray, Amy & Lee, Celina, 2021. "Crowdsourcing Artificial Intelligence in Africa: Findings from a Machine Learning Contest," IZA Discussion Papers 14545, Institute of Labor Economics (IZA).
    5. Guzel Salimova & Alisa Ableeva & Rasul Gusmanov & Aidar Sharafutdinov & Gulnara Nigmatullina, 2024. "Employment in the Digital Economy Development: Regional Clustering," Public Organization Review, Springer, vol. 24(1), pages 141-160, March.
    6. Wim Naudé & Ricardo Vinuesa, 2020. "Data, global development, and COVID-19: Lessons and consequences," WIDER Working Paper Series wp-2020-109, World Institute for Development Economic Research (UNU-WIDER).
    7. Du, Juntao & Shen, Zhiyang & Song, Malin & Zhang, Linda, 2023. "Nexus between digital transformation and energy technology innovation: An empirical test of A-share listed enterprises," Energy Economics, Elsevier, vol. 120(C).
    8. Knut Blind & Torben Schubert, 2024. "Estimating the GDP effect of Open Source Software and its complementarities with R&D and patents: evidence and policy implications," The Journal of Technology Transfer, Springer, vol. 49(2), pages 466-491, April.
    9. Bilan, Yuriy & Oliinyk, Olena & Mishchuk, Halyna & Skare, Marinko, 2023. "Impact of information and communications technology on the development and use of knowledge," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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