An Integrated Model to Investigate an Individual’s Behavioural Towards using Cloud Computing

Nouf Alkhater, Gary Wills, Robert Walters

2017

Abstract

Cloud computing technology can bring benefits at both individual level and organisational level, for example, flexibility and cost saving. However, there is a lack of empirical studies that examine the usage of cloud computing technology from an individual’s perspective. In fact, the adoption of cloud services in Middle Eastern counties like Saudi Arabia is still low compared with developed countries. Therefore, this study aims to investigate the end users' behavioural towards using cloud computing services in Saudi Arabia. In this paper, we propose an integrated model in an attempt to understand individuals’ attitudes and to identify the key factors that might impact on their behaviour to use cloud technology services. The proposed model integrates the critical factors from technology adoption theories Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT), along with other factors to examine the effect of these variables on end users’ behaviour.

References

  1. Alkhater, N., Wills, G. & Walters, R. 2014. Factors influencing an organisation's intention to adopt cloud computing in Saudi Arabia. IEEE 6thInternational Conference on Cloud Computing Technology and Science, pp. 1040-1044.
  2. Alkhater, N., Wills, G. and Walters, R. 2015. Factors affecting an organisation's decision to adopt cloud services in Saudi Arabia. In: 3rd International Conference on Future Internet of Things and Cloud (FiCloud). pp. 553-557.
  3. Anandarajan, M., Igbaria, M. & Anakwe, U.P. 2002. IT acceptance in a less- developed country: A motivational factor perspective. International Journal of Information Management, 22(1), pp.47-65.
  4. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., and Zaharia M. 2010. A view of cloud computing. Communications of the ACM, 53(4), pp. 50-58.
  5. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J. &Brandic, I.2009. Cloud computing and emerging IT platforms: Vision, hype and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), pp. 599-616.
  6. Buyya, R., Calheiros, R. N. & Li, X. 2012. Autonomic cloud computing: Open challenges and architectural elements. 2012 Third International Conference on Emerging Applications of Information Technology, pp. 3-10. doi:10.1109/EAIT.2012.6407847.
  7. Davis, F.D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), pp. 319-340.
  8. Ghorab, K.E., 1997. The impact of technology acceptance considerations on system usage, and adopted level of technological sophistication: An empirical investigation. International Journal of Information Management, 17(4), pp.249-259.
  9. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J. & Ghalsasi, A. 2011. Cloud computing-The business perspective. Decision Support Systems, (51)1, pp. 176-189. doi:10.1016/j.dss.2010.12.006.
  10. Park, S.C. and Ryoo, S.Y., 2013. An empirical investigation of end-users' switching toward cloud computing: A two factor theory perspective. Computers in Human Behavior, 29(1), pp.160-170.
  11. Rogers, E.M. 1995. Diffusion of innovation. 4thed. New York: The Free Press.
  12. Saunders, M., Lewis, P. and Thornhill, A. 2009.Research methods for business students. 5th ed. Harlow: Pearson Education.
  13. Sharma, S. K., Govindaluri, S. M., & Al Balushi, S. M. (2015). Predicting determinants of Internet banking adoption: a two-staged regression-neural network approach. Management Research Review, 38(7), pp. 750-766.
  14. Sharma, S.K., Al-Badi, A.H., Govindaluri, S.M. and AlKharusi, M.H., 2016. Predicting motivators of cloud computing adoption: A developing country perspective. Computers in Human Behavior, 62, pp.61-69.
  15. Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D.2003. User acceptance of information technology: toward a unified view. MIS Quarterly27(3), pp. 425- 478.
Download


Paper Citation


in Harvard Style

Alkhater N., Wills G. and Walters R. (2017). An Integrated Model to Investigate an Individual’s Behavioural Towards using Cloud Computing . In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: WICSPIT, ISBN 978-989-758-245-5, pages 478-481. DOI: 10.5220/0006404204780481


in Bibtex Style

@conference{wicspit17,
author={Nouf Alkhater and Gary Wills and Robert Walters},
title={An Integrated Model to Investigate an Individual’s Behavioural Towards using Cloud Computing},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: WICSPIT,},
year={2017},
pages={478-481},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006404204780481},
isbn={978-989-758-245-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: WICSPIT,
TI - An Integrated Model to Investigate an Individual’s Behavioural Towards using Cloud Computing
SN - 978-989-758-245-5
AU - Alkhater N.
AU - Wills G.
AU - Walters R.
PY - 2017
SP - 478
EP - 481
DO - 10.5220/0006404204780481