Understanding the determinants of cloud computing adoption for high performance computing

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dc.contributor.authorLynn, Theo
dc.contributor.authorLiang, Xiaoning
dc.contributor.authorGourinovitch, Anna
dc.contributor.authorMorrison, John P.
dc.contributor.authorFox, Grace
dc.contributor.authorRosati, Pierangelo
dc.contributor.funderHorizon 2020en
dc.date.accessioned2018-01-11T12:26:59Z
dc.date.available2018-01-11T12:26:59Z
dc.date.issued2018-01-03
dc.date.updated2018-01-11T12:05:03Z
dc.description.abstractWithin the complex context of high performance computing (HPC), the factors influencing technology adoption decisions remain largely unexplored. This study extends Diffusion of Innovation (DOI) and Human-Organization-Technology fit (HOT-fit) theories into an integrated model, to explore the impact of ten factors on cloud computing adoption decisions in the HPC context. The results suggest that adopters and non-adopters have different perceptions of the indirect benefits, adequacy of resources, top management support, and compatibility of adopting cloud computing for HPC. In addition, perceptions of the indirect benefits and HPC competences can be used to predict the cloud computing adoption decision for HPC. This is one of the first studies in the information systems (IS) literature exploring the factors impacting the cloud computing adoption decision in the important context of HPC. It integrates two influential technology adoption theories and enhances understanding of the key factors influencing organizationsâ cloud computing adoption decisions in this context.en
dc.description.statusNot peer revieweden
dc.description.urihttp://hicss.hawaii.edu/about/en
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLynn, T., Liang, X., Gourinovitch, A., Morrison, J. P., Fox, G. and Rosati, P. (2018) 'Understanding the determinants of cloud computing adoption for high performance computing', Proceedings of 51st Hawaii International Conference on System Sciences (HICSS-51), Hawaii, 3-6 January.en
dc.identifier.endpage3903en
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.startpage3894en
dc.identifier.urihttps://hdl.handle.net/10468/5269
dc.language.isoenen
dc.publisherUniversity of Hawai'i at Manoaen
dc.relation.ispartof51st Hawaii International Conference on System Sciences (HICSS-51)
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/643946/EU/Self-Organising, Self-Managing Heterogeneous Cloud/CloudLightningen
dc.relation.urihttp://hdl.handle.net/10125/50377
dc.rights© 2018, the Authors. This paper is made available under the CC-BY-NC-ND 4.0 license.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectDiffusionsen
dc.subjectImpactsen
dc.subjectAdoption and usageen
dc.subjectICTen
dc.subjectSocietyen
dc.subjectCloud computing adoptionen
dc.subjectHigh performance computingen
dc.subjectHPCen
dc.subjectHOT-fiten
dc.subjectTOEen
dc.titleUnderstanding the determinants of cloud computing adoption for high performance computingen
dc.typeConference itemen
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