Influencing Factors of Mobile Technology Adoption by Small Holder Farmers in Zimbabwe

Author(s):  
Fine Masimba ◽  
Martin Appiah ◽  
Tranos Zuva
Author(s):  
Abel Kinyondo ◽  
Joseph Magashi

Poverty reduction has been a difficult milestone for Tanzania to achieve despite recording remarkable economic growth over the past decade. This is because the attained growth is not inclusive, in that sectors contributing to this growth employ fewer people. Given the fact that agriculture continues to employ the majority of people in Tanzania, efforts to improve livelihoods should necessarily be geared towards transforming the sector. It is in this context that using a sample of 3,000 farmers from 13 regions of Tanzania; this Tanzania, this study set out to examine challenges facing farmers and their respective solutions following the sustainable livelihood framework. Findings show that improving farmers’ livelihoods would entail concerted efforts by the government to avail to farmers, quality and affordable seeds, fertilizer, agricultural infrastructures, subsidies, extension services, markets, information alert, affordable loans, and areas for pastures. This implies that the government needs to allocate enough funds to the agricultural sector if farmers’ needs are to be met. We note, however, that government’s allocation to the sector has alarmingly generally been exhibiting a declining trend for the past four years. It is against this background that we strongly recommend that the government rethinks its position and prioritize the agricultural sector in its budget.


2018 ◽  
Vol 31 (2) ◽  
pp. 507-526 ◽  
Author(s):  
Visvanathan Naicker ◽  
Derrick Barry Van Der Merwe

Purpose The purpose of this paper is to examine the factors that influence the adoption of mobile technology by considering the information technology (IT) managers’ perception. The research identified the key challenges managers faced and whether management would adopt mobile technology or not. Design/methodology/approach A quantitative approach was used for this research, whereby an explanatory research was utilised. Questionnaires were developed and distributed to respondents who were in management and leadership positions and who were responsible for IT within their organisations. Demographic variables of age, gender differences, level of education, level of experience and culture were tested for association to the perceived factors and adoption. A χ2 of association was used to test the association between demographic variables and mobile technology adoption. Findings The results found that perceived ease of use, perceived usefulness, perceived complexity and perceived cost are important factors for adoption. However, perceived risk was a key factor in the adoption of mobile technology. Mobile strategy adoption must consider perceived risk factors central to the adoption. The younger generation (20 to 40) years found it easier to adopt technology than the older generation of 41 years and older. Individuals with a post matriculation level of education understood the importance of risk and cost required for adoption. Research limitations/implications Purposive sampling from a single industry (Life Insurance) was used. Limited literature was available regarding managers perception of mobile technology adoption in the Life Insurance industry. Practical implications The research offers managers insight into the important factors that need to be considered in adopting mobile technology. Originality/value With mobile technology being pervasive, the research seeks to provide managers with the insight in managing the adoption of the technology.


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