Abstract

In addition to the rapid development of global information and communications technology (ICT) and the Internet, recent rapid growth in cloud computing technology represents another important trend. Individual continuance intention towards information technology is a critical area in which information systems research can be performed. This study aims to develop an integrated model designed to explain and predict an individual’s continuance intention towards personal cloud services based on the concepts of technology readiness (TR) and the unified theory of acceptance and use of technology 2 (UTAUT2), moderated by gender, age, and experience of personal cloud services. The key results of the partial least square test largely support the proposed model’s validity and the significant impact of effort expectancy, social influence, hedonic motivation, price value, habit, and technology readiness on continuance intention towards personal cloud services. In addition to providing symmetric theoretical support with the proposed model and transforming the individual characteristics of TR into UTAUT2, this study could be used to enhance and analyze users’ adoption of personal cloud services and also increase the symmetry of the model’s explanation and prediction. The findings from this research contribute to providing practical implications and academic resources as well as improving our understanding of personal cloud service applications.

Highlights

  • Cloud services have received increasing attention and popularity as a way to deploy and manage innovative ways of using information technology (IT) resources [1]

  • According to above the relevant e-service and m-service adoption research, this study proposes a positive relation between technology readiness (TR) and continuance intention towards personal cloud services and proposes Hypothesis 8: Hypothesis 8 (H8)

  • The theoretical contribution of this study is the addition of the TR dimension to explore personal traits in the UTAUT2 model applied to a consumer environment, permitting a more complete exploration of acceptance behavior in terms of intention to use

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Summary

Introduction

Cloud services have received increasing attention and popularity as a way to deploy and manage innovative ways of using information technology (IT) resources [1]. Cloud services are an innovative paradigm that allows users to access third-party, Internet-hosted software applications, data storage, and computing services based on individual computing needs rather than applications hosted on local computers. This enables individuals or organizations to access a broad range of resources on the Internet at any time and from any location. Numerous business organizations have outsourced their internal information technology (IT) system by adopting cloud services [2,3,4,5,6].

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