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Disruptive Technology Adoption in Developing Countries: The Case of Uber in Ghana
Abstract
The purpose of this study is to explore the factors that inform a consumer's behavioural intention to adopt disruptive information technologies. This study uses an inductive reasoning approach to collect qualitative data which is analysed using interpretive analysis guidelines. The outcome of the analysis is the discovery of three new variables, namely, understanding of technology, meta-price value, and perceived need. The knowledge of technology refers to what a consumer knows about disruptive information technology. The meta-price value refers to a consumer's perception of the benefits to be gained from disruptive information technology as compared to those of the disrupted technology. The perceived need refers to a consumer's realisation of the extent to which disruptive information technology is the sole provider for a fundamental requirement. This study is, arguably, the first to propose a different model to explain the adoption of disruptive information technologies.
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