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doi: 10.1111/dpr.12142
The article uses a conceptual framework to review empirical evidence and some 180 articles related to the opportunities and threats of Big Data Analytics for international development. The advent of Big Data delivers a cost‐effective prospect for improved decision‐making in critical development areas such as healthcare, economic productivity and security. At the same time, the well‐known caveats of the Big Data debate, such as privacy concerns and human resource scarcity, are aggravated in developing countries by long‐standing structural shortages in the areas of infrastructure, economic resources and institutions. The result is a new kind of digital divide: a divide in the use of data‐based knowledge to inform intelligent decision‐making. The article systematically reviews several available policy options in terms of fostering opportunities and minimising risks.
Big Data, Data Science (rcdc), Policy and Administration, Human Geography, 4407 Policy and administration (for-2020), 4408 Political science (for-2020), digital divide, 1604 Human Geography (for), 4404 Development Studies (for-2020), international development, Information and Communication Technology, Information and Communication Technology (ICT), Networking and Information Technology R&D (NITRD) (rcdc), digital, 1605 Policy and Administration (for), Generic health relevance (hrcs-hc), decision-making, 44 Human Society (for-2020), innovation, Networking and Information Technology R&D (NITRD), 4404 Development studies (for-2020), Generic health relevance, decision‐making, Development Studies, Development Studies (science-metrix)
Big Data, Data Science (rcdc), Policy and Administration, Human Geography, 4407 Policy and administration (for-2020), 4408 Political science (for-2020), digital divide, 1604 Human Geography (for), 4404 Development Studies (for-2020), international development, Information and Communication Technology, Information and Communication Technology (ICT), Networking and Information Technology R&D (NITRD) (rcdc), digital, 1605 Policy and Administration (for), Generic health relevance (hrcs-hc), decision-making, 44 Human Society (for-2020), innovation, Networking and Information Technology R&D (NITRD), 4404 Development studies (for-2020), Generic health relevance, decision‐making, Development Studies, Development Studies (science-metrix)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 451 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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