Dataset for SEM and ANN analysis in cloud computing acceptance

Published: 16 November 2021| Version 4 | DOI: 10.17632/v2jrv3s58c.4
Contributor:
chi-hoon song

Description

This article includes an raw data for our research. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), this study is to identify the determinants of cloud computing adoption by using structural equation modeling (SEM) and an artificial neural network (ANN). 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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Cloud Computing

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