Social networks and technology adoption: Evidence from mobile money in Uganda
Alfred Mukong (),
Lwanga Elizabeth Nanziri and
Stephanos Papadamou
Cogent Economics & Finance, 2021, vol. 9, issue 1, 1913857
Abstract:
Innovative financial technologies are becoming a pathway to inclusive economic participation for individuals and firms. This paper presents evidence on how individuals’ decisions to adopt such technology, particularly mobile money, relate to the adoption choices of their network of family and friends. Using the Uganda Financial Inclusion Insights (FII) Tracker Survey for 2013, we find that mobile money adoption decisions are closely linked to the network of an individual’s family and friends. Networks are defined in two ways: by the source of information on mobile money services and by the average number of adoptions in one’s neighbourhood. Like many other studies, we find a positive correlation between mobile money adoption and the adoption decisions of one’s network. The correlation persists across the different measures of networks and even when we control for unobservable (neighbourhood fixed effects) characteristics. However, the magnitude of the point estimates decreases as the model becomes saturated. Despite having more mobile money users than adopters in our sample, we do not find evidence that networks can stifle technology adoption due to the possibility of piggybacking on early adopters within the network.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23322039.2021.1913857 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:oaefxx:v:9:y:2021:i:1:p:1913857
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/OAEF20
DOI: 10.1080/23322039.2021.1913857
Access Statistics for this article
Cogent Economics & Finance is currently edited by Steve Cook, Caroline Elliott, David McMillan, Duncan Watson and Xibin Zhang
More articles in Cogent Economics & Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().