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The factors that create a successful mobile money ecosystem: Kenya vs Nigeria
Published 2018“…This study set out to investigate factors affecting the adoption of mobile money services in Kenya and Nigeria. Using various models such as; the Technology Acceptance Model (TAM), Unified Technology Acceptance User Theory (UTAUT), Innovation Diffusion Process and demographic variables (age, sex, education level, access bank account, ownership of mobile phone, MM awareness) from datasets produced by Financial Inclusion Insights. …”
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The Impact Of Mobile Banking Customer Experience On Loyalty Among Millennials In South Africa
Published 2021“…Considering this, a broad literature review was done that revealed the factors that influence mobile customer experience. Based on literature a conceptual model was developed and this model was used a framework for investigating the research problem. …”
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Extending the dialogue : interactional and multimodal strategies in synchronous mobile mathematics tutoring on MXit
Published 2015“…The aim of this study was to explore the interaction between learners and tutors in Dr Math, a mathematics tutoring project that uses instant messaging and the mobile application, MXit. There is currently little computer-mediated communication research available about the uses of mobile instant messaging for mathematics tutoring. …”
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Investigating the effect of gamification on the adoption of fitness apps on mobile devices in South Africa
Published 2020“…The survey design used an extension of the Technology Acceptance Model (TAM) to quantitatively measure the relationship between gamification in fitness mobile apps and the behavioural intention to adopt the fitness mobile app. …”
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Determinants of mobile money subscriptions induced by conventional banks in Sub-Saharan Africa.
Published 2024“…While mobile money components such as active mobile money subscriptions and mobile money agents are examined, the empirical model was estimated using the two-stage least-squares and the twostep system generalised method of moments technique. …”
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Digital resilience and continued use of mobile payment services in a developing economy
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Energy efficient hybrid routing protocol for wireless sensor networks
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Mobile bullying in South Africa – exploring its nature, influencing factors and implications
Published 2014“…Mobile bullying is a form of electronic bullying that is relatively new. …”
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Infrastructure sharing of 5G mobile core networks on an SDN/NFV platform
Published 2018“…Not paying careful attention to this aspect could lead to the drastically reduced performance of network functions thus defeating the purpose of going for virtualisation solutions. The success of mobile network operators in the 5G arena will depend heavily on their ability to shift from their old operational models and embrace new technologies, design principles and innovation in both the business and technical aspects of the environment. …”
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Clustering algorithms for sensor networks and mobile ad hoc networks to improve energy efficiency
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Chemical characterisation of landfill leachate and its potential mobility through the Cape Flats sand
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Wealth mobility, familial ties and migration : evidence from the Cape of Good Hope panel
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The influence of the roles of mobile-phone users on the adoption of m-commerce activities the case of Kenya
Published 2023“…The significant theoretical contribution of this study is the development of a conceptual model. This model provides a more comprehensive understanding of the adoption determinants that influence mobile-phone users' intentions and decisions towards adopting m-commerce activities from the perspective of their roles using mobile-phones. …”
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Impact of Capital Market on Domestic Resource Mobilization for Economic Development in Nigeria (2000-2015)
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Antecedents of mobile banking applications acceptance and usage and its consequence on financial behavior in Namibia
Published 2026“…Structural equation modeling (SEM) analysis revealed that effort expectancy, habit, and trust positively influence consumer intention to accept mobile banking applications and trust negatively influences perceived risk, while habit and behavioral intention positively influence the use of mobile banking applications. …”
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