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Article . 2012 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2012
Data sources: DBLP
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Mobile Payments in Emerging Markets

Authors: Nir Kshetri; Sharad Acharya;

Mobile Payments in Emerging Markets

Abstract

Mobile payments- payment services conducted via a mobile device-have been a key driver of socioeconomic development in emerging markets. Factors such as advancements in technology, socioeconomic conditions, and the high penetration rate of mobile devices are driving m-payment development in certain emerging markets. As Tom Standage noted in his “Virgin Territory” Economist article (17 Nov. 2011), it's “easier to use your mobile phone to pay for a taxi in Nairobi [Kenya's capital] than in New York.” A well-developed m-payment ecosystem has evolved in Kenya that, as of February 2012, had over 18 million m-payment users. In the Asia Pacific, m-payment is expected to grow by 15 percent annually, reaching US$3.8 billion by 2015.2 Likewise, mobile banking in Africa is expected to reach US$22 billion by 2015.3 Table 1 presents some examples of m-payment systems in the emerging economies of Africa, Asia, and Latin America.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
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