Abstract
Over the past few years, cloud computing has evolve d as one of the major advances in the field of Information Technology (IT) utilizing third-party s ervices. Therefore, trust in cloud vendors as well as the determination of potential risks, such as privacy a nd security issues, are crucial for ensuring the su ccessful adoption of an appropriate cloud. Prior research ha ve addressed the technical aspects of cloud-based environments, such as cloud virtualization, scalabi lity and security. Nevertheless, it is argued that the biggest obstacle of cloud computing is not technolo gical, rather it is perceptual or attitudinal. The adoption of cloud computing has been central to several scho larly research areas, particularly user acceptance. This study presents an extended Technology Acceptance Model (TAM), which integrates Trust (TR), Anxiety (ANX) and Perceived Risk (PR), to investigate users ’ attitudes and intentions toward the adoption of c loud computing. The proposed model was empirically examined using the Structural Equation Model (SEM) to analyze data gathered by a survey of both IT profes sionals and end users. The results herein suggested that trust, anxiety and PR can be successfully integrate d within the TAMs. Trust has demonstrated to have a strong positive influence on Perceived Ease of Use (PEOU), but it had no significant effects on Perceived Use fulness (PU). Both anxiety and PR were found to have significant negative effects on PEOU and PU. In addition, Behavioral Intention (BI) to use the cloud can be p redicted by trust, attitudes and PU, as PR was show n to have no significant effect on BI. The proposed model, including PR, trust and anxiety, has been demonstrated to be a true predictor of user intentions, toward t he use of cloud computing, within the context of Sa udi Arabia.
Highlights
Cloud computing represents a radically different computing paradigm that has altered the way in which Information Technology (IT) services and capabilities are delivered to consumers (Marston et al, 2011)
A main objective of many organizations is to identify the elements that improve the adoption of cloud computing, so as to truly determine whether it is feasible for implementation
This model has been demonstrated to be a true predictor of user intentions, toward the use of cloud computing, within the context of Saudi Arabia
Summary
Cloud computing represents a radically different computing paradigm that has altered the way in which Information Technology (IT) services and capabilities are delivered to consumers (Marston et al, 2011). According to research conducted by Gartner, it is expected that investments in cloud computing will reach more than $150 billion by 2014 (Marston et al, 2011). As a rapidly emerging IT trend, the cloud hype, which recently reached a peak in terms of its expectations, generally describes the user’s perception of cloud computing (Buyya et al, 2009b). Education High school or under Two-year diploma Bachelor Master PhD. The sample included much variation with 76 (9.9%) respondents being in high school education or under; 58 (7.5%) of the respondents held a two-year diploma; 496 (64.4%) held a bachelor degree; 110 (14.3%) held a master degree; and, 30 (3.9%) had a PhD
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