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Measuring Digital Development with Online Data: Digital Economies in Eastern Europe and Central Asia

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  • Braesemann, Fabian
  • Stephany, Fabian

Abstract

The Internet, like railways and roads in the past, is paving innovation and alters the way in which citizens, consumers, businesses, and governments function and interact with each other. This digital revolution is empowering societies. It opens new, effective, and scalable services for governments and the private sector. It provides us with a more adaptive, data-driven approach to decision making in many aspects of our life. The digitalisation is particularly relevant for developing countries, as they can seize the opportunity for leapfrogging in order to become part of the global digitalised economy. With the example of Eastern Europe and Central Asia, this work illustrates how openly available online data can be used to identify, monitor, and visualise trends in digital economic development. Our interactive online dashboard allows researchers, policy-makers, and the public to explore four aspects of digital development: E-services, online labour markets, online knowledge creation and access to online knowledge.

Suggested Citation

  • Braesemann, Fabian & Stephany, Fabian, 2020. "Measuring Digital Development with Online Data: Digital Economies in Eastern Europe and Central Asia," SocArXiv f9jqh, Center for Open Science.
    • Handle: RePEc:osf:socarx:f9jqh
    DOI: 10.31219/osf.io/f9jqh
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    References listed on IDEAS

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    1. Stephany, Fabian & Braesemann, Fabian, 2017. "An Exploration of Wikipedia Data as a Measure of Regional Knowledge Distribution," SocArXiv c2gd8, Center for Open Science.
    2. Kässi, Otto & Lehdonvirta, Vili, 2018. "Online labour index: Measuring the online gig economy for policy and research," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 241-248.
    3. Fabian Stephany & Niklas Stoehr & Philipp Darius & Leonie Neuhauser & Ole Teutloff & Fabian Braesemann, 2020. "The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time," Papers 2003.12432, arXiv.org, revised Apr 2020.
    4. Stephany, Fabian & Braesemann, Fabian & Graham, Mark, 2019. "Coding Together - Coding Alone: The Role of Trust in Collaborative Programming," SocArXiv 8rf2h, Center for Open Science.
    5. Stephany, Fabian & Dunn, Michael & Sawyer, Steven & Lehdonvirta, Vili, 2020. "Distancing Bonus or Downscaling Loss? The Changing Livelihood of US Online Workers in Times of COVID-19," SocArXiv vmg34, Center for Open Science.
    6. Fabian Braesemann & Niklas Stoehr & Mark Graham, 2019. "Global networks in collaborative programming," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 6(1), pages 371-373, January.
    Full references (including those not matched with items on IDEAS)

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