EVALUATION OF A CLOUD STORAGE SYSTEM USING THE TAM MODEL IN THE UAE
DOI:
https://doi.org/10.36825/RITI.06.12.022Keywords:
Cloud Computing, Technology Acceptance Model, Storage System, CloudAbstract
Today's cloud storage system architectures play an important role in an organization's infrastructure because they aim to improve storage capacity, profitability, resiliency, and scalability. This article seeks to know the degree of acceptance when using cloud storage systems. In order to evaluate the objectives of this work, it is proposed to apply the technological acceptance model (TAM) adapted to cloud storage systems.
References
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly , 13 (3), 319-340. doi: 10.2307/249008
Zhao, L., Liu, A., Keung, J. (2010). Evaluating cloud platform architecture with the care framework. 17th Asia Pacific IEEE Software Engineering Conference (APSEC), (pp. 60-69). Sydney, Australia.
Shen, Z., Li, L., Yan, F., Wu, X. (2010). Cloud computing system based on trusted computing platform. IEEE International Conference on Intelligent Computation Technology and Automation (ICICTA), (pp. 942-945). Changsha, China.
Toral, S., Barrero, F., Martínez Torres, M., Gallardo Vázquez, S., Lillo Moreno, A. (2005). Implementation of a web-based educational tool for digital signal processing teaching using the technological acceptance model. IEEE Transactions on Education, 48 (4), 632-641.
King, W., He, J. (2006). A meta-analysis of the technology acceptance model. Information & management, 43 (6), 740-755.
Legris, P., Ingham, J., Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40 (3), 191-204.
Wu, B., Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221-232.
Venkatesh, V., Davis, F. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision sciences, 27 (3), 451-481.
Succi, M., Walter, Z. (1999). Theory of user acceptance of information technologies: an examination of health care professionals. Systems Sciences, HICSS-32. Proceedings of the IEE 32nd Annual Hawaii International Conference on Systems Sciences, (pp. 1-7). Maui, HI, USA, USA.
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., Pahnila, S. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet research, 14 (3), 224-235.
Roca, J., Chiu, C., Martínez, F. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of human-computer studies, 64 (8), 683-696.
Mun, Y., Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International journal of human-computer studies, 59 (4), 431-449.
Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52 (2), 302-312.
Rauniar, R., Rawski, G., Yang, J., Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27 (1), 6-30.
Lee, M. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic commerce research and applications, 8 (3), 130-141.
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Revista de Investigación en Tecnologías de la Información
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Esta revista proporciona un acceso abierto a su contenido, basado en el principio de que ofrecer al público un acceso libre a las investigaciones ayuda a un mayor intercambio global del conocimiento.
El texto publicado en la Revista de Investigación en Tecnologías de la Información (RITI) se distribuye bajo la licencia Creative Commons (CC BY-NC
), que permite a terceros utilizar lo publicado citando a los autores del trabajo y a RITI, pero sin hacer uso del material con propósitos comerciales.
