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AuthorAl-Sharafi, Mohammed A.
AuthorArshah, Ruzaini Abdullah
AuthorAbu-Shanab, Emad A.
Available date2020-08-20T08:06:21Z
Publication Date2017
Publication NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ResourceScopus
ISSN21593442
URIhttp://dx.doi.org/10.1109/TENCON.2017.8228001
URIhttp://hdl.handle.net/10576/15703
AbstractThis research aims at validating the vital factors that affecting the continuous use of cloud computing services through literature review and experts' evaluation. These factors are factors that have an effect on the decision makers to forge ahead in the use of cloud computing services in their various organizations. Semi-structured interviews using email were carried out with twenty-three experts (nine IT practitioners and fourteen academics) in order to realize the identified objective. Based on the expert's perspectives, the followings factors; cost reduction, top manager's support, relative advantage, compatibility, perceived trust, complexity competitive pressure, perceived security and privacy, IT readiness and government support have the greatest ten are the ten noteworthy factors which have effect on the decision makers to further the use of cloud computing services. The findings of this study will be the building block in developing a conceptual model for the continuous intention to use of cloud computing services in small and medium enterprises (SMEs) in Malaysia. 2017 IEEE.
SponsorThe authors would like to sincerely thank Faculty of Computer Systems & Software Engineering (FSKKP), Universiti Malaysia Pahang as this research has been supported by the Research University Grant PGRS170389.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCloud computing services
Continuous intention to use cloud computing services
Experts' perspective
Factors affecting cloud computing adoption
Small and medium enterprises
TitleFactors affecting the continuous use of cloud computing services from expert's perspective
TypeConference Paper
Pagination986-991
Volume Number2017-December
dc.accessType Abstract Only


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