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dc.contributor.authorNdege, Maari Denis
dc.date.accessioned2015-12-10T07:50:52Z
dc.date.available2015-12-10T07:50:52Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/11295/93280
dc.descriptionThesisen_US
dc.description.abstractThis study sets to model the uptake of mobile payments by MSMEs in Kenya. The objectives of the study were: to establish the relevant determining and moderating factors for technology adoption of mobile payments by MSMEs in Kenya; to establish the external factors affecting acceptance of mobile payments by MSME‟s in Kenya; to use the factors to formulate a model for technology adoption of mobile payments by MSMEs in Kenya and; to validate the model. The study utilized a descriptive survey design. The target population comprised persons drawn from various SMEs categories of businesses (boutiques, clothes materials shops, retail shops, retail shop and MPESA shops) sampled from Kariobangi and Uhuru Markets, Nairobi. The target population comprised 95 persons. These two markets were targeted for purposes of delimiting the study in scope. Furthermore, there is a huge concentration of business that use lipa na MPESA in these markets. The researcher used proportionate stratified sampling. The researcher used the simplified formula to calculate sample size that was put forward by Yamane (1967). The formula employed is: n=N/ (1+N (e) 2 (where n = sample size, N = population size and e =the level of precision (0.05)). As such, the researcher sampled 90 person from the 5 strata. Individuals within each strata were randomly sampled. The study relied on primary data that will be collected using a structured questionnaire as the research instrument. The questionnaire was divided into through sections that correspond to the research questions of the study. An extra section on the level of adoption of Lipa na MPESA by SMEs was included in the study. Before analysis, the completed questionnaires were checked for completeness and consistency. The data collected was analysed using descriptive and inferential statistics and presented in Tables and Figures. F and t-tests were used to test the hypotheses. From the findings, it can be concluded that various relevant and external factor determine the adoption of mobile payments by MSMEs in Kenya and understanding them could help enhance adoption of such payments. As such, the most important factors are pegged to cost reduction, risk reduction and perceived importance and convenience over other payment methods. Understanding these factors may augment the level of adoption of mobile payments in Kenya. The study therefore recommends as follows: Managers of Safaricom Ltd should understand the factors that influence the adoption of mobile payments as highlighted in this study and institute ways of ensuring that they are well understood and taken into consideration. This should include regular information dissemination on mobile money payments. There should be regular review of prices and upgrading of the payment system to match up the ever increasing needs of MSMEs. In addition, there should always be in place robust customer care services to ensure that the image of Lipa na MPESA is maintained since such an image would safeguard the extent to which its clients would continue subscribing to it. Lastly, Safaricom Ltd. should continuously invent services that could add value to Lipa na MPESA as that would increase its value in Kenya. This study was based on only one mobile money payment service (Lipa na MPESA) of Safaricom Ltd. The Researcher therefore recommends comparative studies focusing on other similar payment services offered by other mobile telephony service providers in Kenya.en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.titleModelling uptake of mobile payments by MSMES in Kenyaen_US
dc.typeThesisen_US


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