Mobile phone adoption in agri-food sector: Are farmers in Sub-Saharan Africa connected?
Ronald Kabbiri,
Manoj Dora,
Vikas Kumar,
Gabriel Elepu and
Xavier Gellynck
Technological Forecasting and Social Change, 2018, vol. 131, issue C, 253-261
Abstract:
In recent years user acceptance of a new technology has become of much interest. One of the most outstanding global problems facing Africa is the digital divide. However, the use and adoption of mobile phones is reducing the digital divide in Africa. In view of the role that mobile phones play in bridging the digital divide in Africa, this study extends the applicability of the technology acceptance model (TAM), without altering its parsimony and information technology focus, in mobile phone adoption. This paper extends the TAM model by adding two new constructs, perceived advantage and socio-economic characteristics. Consequently, the extended TAM was applied to adoption of mobile phones in farming communities in Sub-Saharan Africa. The study relies on a sample from 300 dairy farmers in Uganda which was analysed using structural equation modelling. Theoretically, it contributes to the limited literature on mobile phone adoption in agri-food sector in Sub-Saharan Africa and provides empirical evidence from Ugandan farmers. The research contributes to promoting mobile phone usage in farming communities beyond just normal communication. The research also has a strong practical implication for farmers as well as other stakeholders from the agri-food sector.
Keywords: Dairy value chain; Extended technology adoption model; Smartphone use; Structural equation modelling; Uganda (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162517317894
Full text for ScienceDirect subscribers only
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:eee:tefoso:v:131:y:2018:i:c:p:253-261
DOI: 10.1016/j.techfore.2017.12.010
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().