Abstract
Information and communication technologies have made possible that data can be collected and processed at rates previously unseen. It is the big data phenomenon, which holds potential to boost innovation and improve productivity growth.
This chapter attempts to provide some evidence of the strengths and challenges faced by big data industries. Attention is focused on the position that these industries hold within the economic network in terms of their access to information and knowledge. To achieve this aim, network analysis is used over input-output table information. Given the absence of appropriate statistical data for developing countries, attention is paid to two developed countries, Slovenia and Slovakia, which show some common features in their patterns of digital development with some developing countries. Results show that while the levels of efficiency of these industries are high, they are missing some key economic links with other sectors of the economy.
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Notes
- 1.
United Nations Global Pulse [37] has created the network of innovation labs, Global Pulse, with the aim of taking advantage of the potential of big data for human development, sustainable development, and humanitarian aid.
- 2.
Chile, Kazakhstan, South Africa, Trinidad and Tobago, Turkey, and Uruguay are all classified as developing nations by the United Nations [35].
- 3.
The big data-related industries are identified by the codes of the International Standard Industrial Classification (ISIC, Rev. 4).
- 4.
Given the lack of data of R&D investments in the big data industries, we use as a proxy R&D investments in the ICT sector.
- 5.
According to the 2016 Digital Economy and Society Index [10], Spain, Italy, Latvia, Romania, and Croatia also belong to the catching-up group of countries within the European Union.
- 6.
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García-Muñiz, A.S., Vicente, M.R. (2017). Assessing the Economic Potential of Big Data Industries. In: Kaur, H., Lechman, E., Marszk, A. (eds) Catalyzing Development through ICT Adoption. Springer, Cham. https://doi.org/10.1007/978-3-319-56523-1_14
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