Ghana Cryptocurrency Awareness and Adoption Survey Data

The<i> </i>dataset presents responses from a survey assessing the level of awareness and adoption of cryptocurrency among college students and staff in a developing economy, specifically Ghana. The data was collected using a structured questionnaire administered through a snowball sampling technique, involving 989 students and staff from six Ghanaian universities. The survey data collection lasted three months between April and May 2022. The dataset comprises raw data available in SPSS (.sav), and Excel (.xlsx) formats with a codebook. It captures self-reported levels of awareness of blockchain technology and cryptocurrency, as well as various determinants of cryptocurrency adoption based on the Utility Theory and the Unified Theory of Acceptance and Use of Technology (UTAUT). The questionnaire was divided into three sections: awareness of blockchain and cryptocurrency, empirical data on drivers of cryptocurrency adoption, and demographic information of respondents. The dataset provides valuable insights into the factors influencing cryptocurrency adoption in a developing economy context. It is suitable for further multivariate analysis, including Structural Equation Modeling (SEM), multigroup analysis (MGA), and logistic regression analysis. The data allows for reuse in future research to explore trends and drivers of cryptocurrency adoption in similar contexts.

本数据集收录了一项针对发展中经济体（具体为加纳）高校学生与教职员工的加密货币认知及采用水平开展的调查反馈。数据采用滚雪球抽样法，通过结构化问卷完成收集，共纳入加纳6所高校的989名学生与教职员工。本次数据收集工作于2022年4月至5月间开展，为期三个月。本数据集包含SPSS（.sav）与Excel（.xlsx）格式的原始数据，并附带编码手册。其收录了受访者自我报告的区块链技术与加密货币认知水平，以及基于效用理论（Utility Theory）和技术接受与使用统一理论（Unified Theory of Acceptance and Use of Technology, UTAUT）推导得出的各类加密货币采用决定因素。问卷共分为三个部分：区块链与加密货币认知模块、加密货币采用驱动因素实证数据模块、受访者人口统计学信息模块。本数据集为发展中经济体背景下影响加密货币采用的各类因素提供了极具价值的研究洞察，可适用于后续多变量分析，包括结构方程模型（Structural Equation Modeling, SEM）、多群组分析（Multigroup Analysis, MGA）以及逻辑回归分析。该数据集可复用于未来研究，以探索类似背景下加密货币采用的趋势与驱动因素。