Exploring factors influencing the continued use of personal cloud computing services: an extended expectation-confirmation model

Abstract

Purpose This study leverages an enhanced expectation confirmation model of information technology continuance to explore the factors that shape the continuance intention toward cloud computing services. Design/methodology/approach Data were collected from personal cloud computing service users in Malaysia, resulting in a total of 567 usable responses. The research used partial least squares structural equation modeling (PLS-SEM) for comparative analysis and model selection based on predictive accuracy. Findings The study findings demonstrate that perceived benefits, ease of use, usefulness, risk and trust play crucial roles as antecedents to user confirmation and satisfaction, thereby influencing the intention for continuous service usage. Notably, the hypotheses formulated for the study received robust support, with 13 out of 14 anticipated relationships proving statistically significant. Originality/value This study presents a novel investigation into the continuance of personal cloud computing services among Malaysian users, contributing to a deeper understanding of user intention dynamics in this context. Integrating an expanded ECM-IT framework offers a comprehensive analytical approach that simultaneously considers information systems and non-IS factors. Additionally, the study underscores the significance of predictive capability assessment using the PLSpredict method, providing a valuable benchmark for model selection in future research.

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