Dataset for hybrid analysis on cloud computing adoption at organizational level

This article includes analytical results an raw data for our research. Using the technology acceptance model (TAM) and dependability theory, this study seeks the predictors of organizational-level adoption of cloud computing (CC) by combining structural equation modeling (SEM) and an artificial neural network (ANN) to analyze data collected by an online survey in South Korea. The dataset consists of two hundred thirty valid responses of managers in various organizations using cloud computing. The dataset has seven variables such as perceived usefulness, perceived ease of use, behavioral intention, availability, reliability, security and maintainability. This article is consists of analytical proofs, measurement items, analytic tables,, kolmogorov-smirnv test, homoscedasticity test, deviation test, multicollinearity test, all of analysis image, and raw data.