Undergraduates’ Intention to Use Cloud Computing Services for Academic Purposes

Abstract

The paper presents to analyse behavioural intention of undergraduates to use cloud computing services for academic purposes at South Eastern University of Sri Lanka. This study was used Venkatesh et al.’s (2003) unified theory of acceptance and use of technology (UTAUT) which analysed that the constructs of UTAUT including performance expectancy (PE), effort expectancy (EE), social influences (SI), and facilitating conditions (FC), are strong predictors to, or have positively influence on behavioural intention to use cloud computing services for academic purposes among the undergraduate students. However, moderators of UTAUT model are excluded for this study. The UTAUT constructs for this study are used and analysed using structural equation modelling (SEM) through partial least squares path modelling (PLS-SEM). Survey questionnaire through Google Forms shareable link was distributed to 394 participants. 23 responses out of 394 responses are rejected because of insufficient answers. SmartPLS 3 software was used for analysing the data. The path coefficient (β) of PE, EE, SI, and FC are 0.27, 0.279, 0.181, and 0.196 respectively. Therefore, findings of this study concluded that there are significant positive effects of the constructs (PE, EE, SI and FC) on behavioural intention to use cloud computing services among undergraduate students at South Eastern University of Sri Lanka.