Open Access
SHS Web Conf.
Volume 34, 2017
The 17th Annual Conference of the Asian Academic Accounting Association (2016 FourA Conference)
Article Number 02001
Number of page(s) 6
Section Accounting Information Systems
Published online 14 February 2017
  1. A. Gutierrez, E. Boukrami, R. Lumsden. Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK. Journal of Enterprise Information Management, 28(6), 788–807 (2015). [CrossRef] [Google Scholar]
  2. C. Low, Y. Chen, M. Wu. Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), 1006–1023 (2011). [CrossRef] [Google Scholar]
  3. H. Gangwar, H. Date, R. Ramaswamy. Developing a cloud-computing adoption framework. Global Business Review, 16(4), 632–651 (2015). [CrossRef] [Google Scholar]
  4. S. Bhardwaj, L. Jain, S. Jain. Cloud computing: A study of infrastructure as a service (IAAS). International Journal of Engineering and Information Technology, 2(1), 60–63 (2010). [Google Scholar]
  5. P. Mell, T. Grance. The NIST definition of cloud computing. National Institute of Standards and Technology, 53(6), 50 (2009). [Google Scholar]
  6. T. Oliveira, M. Thomas, M. Espadanal. Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 51(5), 497–510 (2014). [CrossRef] [Google Scholar]
  7. N. Sultan. Cloud computing for education: A new dawn? International Journal of Information Management, 30(2), 109–116 (2010). [CrossRef] [EDP Sciences] [Google Scholar]
  8. L.G. Tornatzky, M. Fleischer. The process of technological innovation. Lexington, MA: Lexington Books (1990). [Google Scholar]
  9. O.M. Yigitbasioglu. The role of institutional pressures and top management support in the intention to adopt cloud computing solutions. Journal of Enterprise Information Management, 28(4), 579–594 (2015). [CrossRef] [Google Scholar]
  10. C.G. Cegielski, L.A. Jones-Farmer, Y. Wu, B.T. Hazen. Adoption of cloud computing technologies in supply chains: An organisational information processing theory approach. The International Journal of Logistics Management, 23(2), 184–211 (2012). [CrossRef] [Google Scholar]
  11. P. Gupta, A. Seetharaman, J.R. Raj. The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861–874 (2013). [CrossRef] [Google Scholar]
  12. P.F. Hsu, S. Ray, Y.Y. Li-Hsieh. Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management, 34(4), 474–488 (2014). [CrossRef] [Google Scholar]
  13. O. Yigitbasioglu. Modelling the intention to adopt cloud computing services: A transaction cost theory perspective. Australasian Journal of Information Systems, 18(3), 193–210 (2014). [CrossRef] [Google Scholar]
  14. E.M. Rogers. Diffusion of innovations (5th Ed.). New York, NY: Free Press (2003). [Google Scholar]
  15. W. Money, A. Turner. Assessing knowledge management system user acceptance with the technology acceptance model. International Journal of Knowledge Management, 1(1), 8–26 (2005). [CrossRef] [Google Scholar]
  16. K. Zhu, S. Dong, S.X. Xu, K.L. Kraemer. Innovation diffusion in global contexts: Determinants of post-adoption digital transformation of European companies. European Journal of Information Systems, 15(6), 601–616 (2006). [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.