Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54355
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dc.contributor.authorApitchaka Singjaien_US
dc.contributor.authorPradorn Sureephongen_US
dc.date.accessioned2018-09-04T10:12:20Z-
dc.date.available2018-09-04T10:12:20Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn17563798en_US
dc.identifier.issn1756378Xen_US
dc.identifier.other2-s2.0-84938246762en_US
dc.identifier.other10.1108/IJICC-06-2014-0029en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84938246762&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/54355-
dc.description.abstract© Emerald Group Publishing Limited. Purpose – The purpose of this paper is to propose a combined technique of cumulative voting and numerical assignment to prioritize the services of the learning cloud service. Design/methodology/approach – The approach starts with requirement elicitation, then analyses of the requirements in terms of prioritization and finally classifies the priority of services into groups. Findings – As a result of the case study the requirements of the College of Art Media and Technology students has been classified into three service groups. Originality/value – This combined prioritized techniques can involve learners in the decision making process about learning cloud services utilization in the organizations.en_US
dc.subjectComputer Scienceen_US
dc.titlePrioritization technique for learning cloud servicesen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Intelligent Computing and Cyberneticsen_US
article.volume8en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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