Abstract
In this work, we examine the technology acceptance of Cloud computing by using the third iteration of the technology acceptance model, from now on referred to as TAM3. TAM is a well established methodology widely used for the acceptance of technology. Empirical data was analyzed from 138 Cloud developers, IT professionals and managers using factor analysis. The results indicate that user acceptance of Cloud computing can be explained and predicted by variables concerning Perceived Usefulness, Perceived Ease of Use, Subjective Norm, Job Relevance, Image, Output quality, Result Demonstrability, Experience, Computer Self-Efficacy, Perception of external control, Cloud Anxiety, Perceived Enjoyment, Voluntariness, Intention to Use. These results further advance the theory and add to the bases for further research targeted at enhancing our knowledge of technology adoption for Cloud computing. They also provide a first base for companies and governments on how to adopt and successfully integrate Cloud technologies and specifically how users adopt Cloud technologies according to organization size, type and employee job role.
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Nikolopoulos, F., Likothanassis, S. (2018). A Complete Evaluation of the TAM3 Model for Cloud Computing Technology Acceptance. In: Panetto, H., Debruyne, C., Proper, H., Ardagna, C., Roman, D., Meersman, R. (eds) On the Move to Meaningful Internet Systems. OTM 2018 Conferences. OTM 2018. Lecture Notes in Computer Science(), vol 11230. Springer, Cham. https://doi.org/10.1007/978-3-030-02671-4_17
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DOI: https://doi.org/10.1007/978-3-030-02671-4_17
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