Cloud computing adoption and determining factors in different industries : a case study of Thailand

The cloud computing model is a modern concept of computation that provides a number of benefits for its adopters. This online computing model has been widely used in the western world and accepted to have some business and economic impacts. This paper provides some basic knowledge about cloud computing and discusses the greatest benefit which is cost reduction in fixed ICT capital and services. With such the benefit, this study attempts to find the determining factors for cloud computing adoption in various industries and proposes some policy recommendations accordingly in order to facilitate the diffusion of the innovative computing model as well as the extensive realisation of its benefit. Thailand is selected as ground for investigation. The discrete choice model of logistic regression is selected as an econometric tool to extract the relationships of different attributes and the probability of cloud computing adoption in 206 industries. The results point out significant determining factors categorised into Internet and technology; cost; and some difficulties in ICT usage. Hence, some policy implications in order to increase the possibility of adoption include an effort to improve internet capability of employees; provide some investment incentives such as tax reduction and low-cost loans for initial set-ups of cloud computing systems; and develop reliable internet network with advanced capability and low cost of use. -- Cloud computing ; Economic benefits of the cloud ; Cloud computing adoption ; Binary regression ; Thai industries