Int. J. of Information Technology and Management   »   2014 Vol.13, No.4

 

 

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

 

Authors: Chutipong Keesookpun; Hitoshi Mitomo

 

Addresses:
Graduate School of Asia-Pacific Studies, Waseda University, Building 19, Tokyo, 1690051, Japan
Graduate School of Asia-Pacific Studies, Waseda University, Building 19, Tokyo, 1690051, Japan

 

Abstract: The cloud computing model is a modern concept of computation that provides a number of benefits to its adopters. This online computing model has been widely used in the Western world and accepted to have some business and economic impacts. The aim of this paper is first to provide some basic knowledge about cloud computing and point out the greatest benefit of it, which is cost reduction in fixed ICT capital and services. Second, this study attempts to find the determining factors for cloud computing adoption and proposes some policy recommendations accordingly. 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 difficulties in ICT usage. Some policy implications include an effort to improve internet capability of employees, provide investment incentives such as tax reduction and low-cost loans for initial setups of cloud computing systems, and develop reliable internet network with advanced capability and low cost of use.

 

Keywords: economic benefits; cloud computing adoption; binary regression; Thailand; cost reduction; econometrics; internet capability; investment incentives; tax reduction; low-cost loans; initial setup; network reliability.

 

DOI: 10.1504/IJITM.2014.065631

 

Int. J. of Information Technology and Management, 2014 Vol.13, No.4, pp.243 - 263

 

Available online: 31 Oct 2014

 

 

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