Innovation characteristics and the decision to adopt cloud computing by Small and Medium Enterprises in Kampala
Abstract
The study looked at the innovation traits that influenced SME (Small and Medium enterprises) adoption of cloud computing in Kampala, Uganda.
In Kampala, Uganda, Small and Medium Enterprises (SMEs) made decisions to use cloud computing based on innovation characteristics.
It was found that: cloud computing enhanced innovations in their business (Mean = 3.78, St. Dev = .601), there was a complexity that comes with the use of cloud computing (Mean = 4.01, St. Dev = 1.180), the cloud could not be easily be integrated into our existing IT infrastructure (Mean = 2.62, St. Dev = 1.032), there was Trialability (Trialability is the ease with which customers can try a new product or service) of the cloud computing systems was conducive in this business (Mean = 3.40, St. Dev = .921), there was no security (Mean = 2.73, St. Dev = .918), lack of privacy (Mean = 2.71, St. Dev = .790).
References
2.Greengard, S. (2010). CloudComputing and Developing Nations.Communications of the ACM, 53(5),18-20.
3.Ghobakhloo, M., Arias-Aranda, D.and Benitez-Amado, J. (2011).Adoption of e-commerceapplications in SMEs. IndustrialManagement & Data Systems, 111,1238-126
4.Ifinedo, P. (2011b.) Internet/e-business technologies acceptance inCanada’s SMEs: an exploratoryinvestigation. Internet Research, 21,255-281.
5.Luftman, J. & Ben-Zvi, T. (2010).Key issues for IT executives, MISQuarterly Executive, 9 (1), 49-59.
6.Luo, X., Gurung, A. and Shim, J. P.(2010). Understanding theDeterminants of User Acceptance ofEnterprise Instant Messaging: AnEmpirical Study. Journalof Organizational Computingand Electronic Commerce, 20, 155-181.
7.Lyer, B. R., & Henderson, J. C.(2010). Preparing for the Future:Understanding the SevenCapabilities of Cloud Computing.MIS Quarterly Executive, 9(2).
8.Marston, S., Li, Z., Bandyopadhyay,S. a., Zhang, J. a., & Ghalsasi, A.(2011). Cloud computing —Thebusiness perspective. DecisionSupport Systems, 176-189.
9.Moore, G. and Benbasat, I. (1991).Development of an Instrument toMeasure the Perceptions of Adoptingan Information TechnologyInnovation. Information SystemsResearch, 2, 192-222
10.Prasad, A., Green, P., Heales, J. &Finau, G. (2014). Towards a modelof Cloud computing services forSMEs, in 25th AustralasianConference on Information Systems,Auckland, New Zealand.
11.Thiesse, F., Staake, T., Schmitt, P.and Fleisch, E. (2011). The rise ofthe ―next-generation bar code: aninternational RFID adoption study.Supply Chain Management: AnInternational Journal, 16, 328-245
12.Venters, W., & Whitley, E. (2012).A critical review of cloudcomputing: researching desires andrealities. Journal of InformationTechnology, 27(3).
13.Voas, J., & Zhang, J. (2009). CloudComputing: New Wine or Just aNew Bottle? IT Professional, 11(2),15-17.
14.Wang, W.Y.C., Rashid, A. andChuang, H. (2011). Toward the trendof cloud computing. Journal ofElectronic Commerce Research, 12(4), 238–242
15.Wu, W.W. (2011). Miningsignificant factors affecting the adoption of SaaS using the rough set approach. Journal of Systems and Software, 84, 435-441.
16.Zhu, K., Dong, S., Xu, S. X. andKraemer, K. L. (2006a). Innovation
diffusion in global contexts: determinants of post-adoption digital transformation of European companies. European Journal of Information Systems, 15, 601-616
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