Cloud computing adoption factors for university administration

With the current financial crisis and challenging growing needs, many universities are facing problems in providing necessary information technology (IT) support for administrative, educational, and research activities. Cloud Computing (CC) has been developed to meet these demands, and is accepted b...

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Bibliographic Details
Main Authors: Badie, Nasrin, Che Hussin, Ab. Razak, Mohamed Dahlan, Halina
Format: Article
Language:English
Published: Penerbit UTM 2014
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Online Access:http://eprints.utm.my/id/eprint/52129/1/NasrinBadie2014_Cloudcomputingadoptionfactors.pdf
http://eprints.utm.my/id/eprint/52129/
http://dx.doi.org/10.11113/jt.v70.3519
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Institution: Universiti Teknologi Malaysia
Language: English
Description
Summary:With the current financial crisis and challenging growing needs, many universities are facing problems in providing necessary information technology (IT) support for administrative, educational, and research activities. Cloud Computing (CC) has been developed to meet these demands, and is accepted by numerous organizations as a good alternative to manage their IT provisions. However, it is rarely used at universities. This paper intends to find out the major reasons that have caused many universitiesare non usage of CC. A systematic review was conducted based on recently published works on CC to identify the staff positions as well as their required services. Secondly, a correspondence to these was initiated to find out the models/services/applications that are available in the marketplace. Furthermore, an explorative case study was used to find out the factors that have caused the negligence of CC applications at universities. A semi-structured interview was also conducted with administrators, IT staffers, technicians and clerks at four public and private universities in Malaysia. The collected data were analyzed using an open coding methodology. To support the finding of interview a survey is done and a questionnaire distributed. For analysing the result of questionnaire correlation and regression is done by using SPSS