Dataset for SEM and ANN analysis in cloud computing acceptance

Published: 11 January 2021| Version 2 | DOI: 10.17632/v2jrv3s58c.2
Contributor:
Chi-Hoon Song

Description

This article includes analytical results an raw data for our research. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), this study seeks the predictors of individual-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 four hundred valid responses of general public in South Korea using cloud computing. The dataset has seven variables such as performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, habit and behavioral intention.

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