Information and communications technology development, interorganizational networks, and public sector corruption in Africa
Quality and Quantity, ISSN: 1573-7845, Vol: 57, Issue: 4, Page: 3285-3304
2023
- 3Citations
- 24Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Studying Information and Communications Technology (ICT) development is increasingly difficult because most advanced countries converge to similar network structures. However, developing countries still manifest meaningful variance in ICT development, affording theoretical elaboration on the nature of societal ICT processes. We examine the relationships between corruption, anti-corruption, interorganizational networks, and ICT development for 48 African countries. Previous studies observed that increased ICT development is associated with lower levels of corruption, although theory to explain this has yet to develop. In the context of interorganizational networks, we theorized that the degree of centralization-decentralization is a key variable in explaining ICT development. We found support for the proposition that there is less ICT development when corruption is high and interorganizational networks are more centralized. In contrast, there is greater ICT development as decentralization increases, coupled with more anti-corruption news. Nevertheless, media freedom was inconsequential regardless of the interorganizational network structure. Lastly, corruption was negatively related to economic growth.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85137415696&origin=inward; http://dx.doi.org/10.1007/s11135-022-01508-4; https://link.springer.com/10.1007/s11135-022-01508-4; https://digitalcommons.kean.edu/keanpublications/103; https://digitalcommons.kean.edu/cgi/viewcontent.cgi?article=1102&context=keanpublications; https://dx.doi.org/10.1007/s11135-022-01508-4; https://link.springer.com/article/10.1007/s11135-022-01508-4
Springer Science and Business Media LLC
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