Understanding determinants of cloud computing adoption using an integrated TAM-TOE model

Abstract

Purpose – The purpose of this paper is to integrate TAM model and TOE framework for cloud computing adoption at organizational level. Design/methodology/approach – A conceptual framework was developed using technological and organizational variables of TOE framework as external variables of TAM model while environmental variables were proposed to have direct impact on cloud computing adoption. A questionnaire was used to collect the data from 280 companies in IT, manufacturing and finance sectors in India. The data were analyzed using exploratory and confirmatory factor analyses. Further, structural equation modeling was used to test the proposed model. Findings – The study identified relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for affecting cloud computing adoption using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. Also, competitive pressure and trading partner support were found directly affecting cloud computing adoption intentions. The model explained 62 percent of cloud computing adoption. Practical implications – The model can be used as a guideline to ensure a positive outcome of the cloud computing adoption in organizations. It also provides relevant recommendations to achieve conducive implementation environment for cloud computing adoption. Originality/value – This study integrates two of the information technology adoption models to improve predictive power of resulting model.

A Decision-Making Model for Adopting a Cloud Computing System

“…The Government Regulation factor (0.10887) was the fifth highest priority, while the Related Advantage factor (0.09816) had the lowest priority. Top Management Support was a significant factor for adopting a cloud computing system, as seen in previous studies [23,29]. However, Compatibility did not correspond to a previous study [11,29].…”

“…They identified "security concerns", "cost savings", "relative advantage", "complexity", "compatibility", "technology readiness", "top management support", "firm size", "competitive pressure", and "regulatory support" as factors. Based on this model, Gangwar et al [23] suggested an organization's important determinants for adopting cloud computing were "relative advantage", "complexity", "compatibility", "ease of use", "usefulness", "top management commitment", "organizational readiness", "training and education", "competitive pressure", and "trading partner support". Gutierrez et al [38] found that "complexity", "technology readiness", "competitive pressure", and "trading partner pressure" were decision-makers' affecting factors for cloud computing adoption.…”

“…Alshamaila et al [33] attempted to explore and develop an adoption model of cloud computing for small and medium business. Gangwar et al [23] attempted to build a TAM(Technology Acceptance Model)-TOE framework for cloud computing adoption. Zardari and Bahsoon [34] suggested a goal-oriented approach for cloud adoption.…”

“…Thirdly, a public cloud is not limited to use by one person or firm, and can be operated by a public cloud service provider like Amazon Web Services, Microsoft, and Sales Force [18,22]. Finally, there is a hybrid cloud model which is run by two or more model combinations [23]. It is growing in the market because companies need computing services that not only cover the globe without latency, but also has secure service without interruption [24].…”

Factors Affecting the Intention of Adopting Cloud Computing in Jordanian Hospitals

“…The third service model is Software as a service (SaaS). It is known for providing users with a piece of software over a network such as internet, where it enables users to install the software and use the application anytime and anywhere they have access to the network [45]. It also provides an agile updating for applications as the service provider hosting the application systems performs updates that take place seemingly without any scheduled downtime, and it helps with the removal of legacy systems which helps organizations to extend their software application into other global regions [46] [47].…”