Behavioural intention to adopt cloud computing: a quantitative analysis with a mediatory factor using bootstrapping

Abstract

This article discusses the research conducted to determine the factors contributing to behavioural intentions (BI) to adopt cloud computing. Small and medium enterprises (SMEs) in the Sri Lanka information technology (IT) sector were surveyed using a questionnaire. The diffusion of innovation (DOI) by Roger and the unified theory of acceptance and use of technology 2 (UTAUT2) by Venkatesh, Thong, and Xu was used as the theoretical framework for evaluating the reference model. Two hundred fifty-six important IT executives from Sri Lanka companies participated in the study. Quantitative techniques of data coding and analysis were applied in this investigation. Statistical package for social sciences (SPSS) software is used for exploratory factor analysis, and analysis of moment structures (AMOS) software is used for confirmatory factor analysis, including bootstrapping for mediator analysis of BI. The results show that among seven hypothesised factors, three factors: relative advantage (RA), compatibility (CT), and complexity (CX), significantly influence BI to adopt cloud computing.