Understanding the determinants of cloud computing adoption for high performance computing

Show simple item record

dc.contributor.author Lynn, Theo
dc.contributor.author Liang, Xiaoning
dc.contributor.author Gourinovitch, Anna
dc.contributor.author Morrison, John P.
dc.contributor.author Fox, Grace
dc.contributor.author Rosati, Pierangelo
dc.date.accessioned 2018-01-11T12:26:59Z
dc.date.available 2018-01-11T12:26:59Z
dc.date.issued 2018-01-03
dc.identifier.citation Lynn, 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.startpage 3894 en
dc.identifier.endpage 3903 en
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10468/5269
dc.description.abstract Within 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.uri http://hicss.hawaii.edu/about/ en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher University of Hawai'i at Manoa en
dc.relation.ispartof 51st Hawaii International Conference on System Sciences (HICSS-51)
dc.relation.uri http://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.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Diffusions en
dc.subject Impacts en
dc.subject Adoption and usage en
dc.subject ICT en
dc.subject Society en
dc.subject Cloud computing adoption en
dc.subject High performance computing en
dc.subject HPC en
dc.subject HOT-fit en
dc.subject TOE en
dc.title Understanding the determinants of cloud computing adoption for high performance computing en
dc.type Conference item en
dc.internal.authorcontactother John Morrison, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: j.morrison@cs.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2018-01-11T12:05:03Z
dc.description.version Published Version en
dc.internal.rssid 421369827
dc.contributor.funder Horizon 2020 en
dc.description.status Not peer reviewed en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Hawaii en
dc.internal.IRISemailaddress j.morrison@cs.ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::RIA/643946/EU/Self-Organising, Self-Managing Heterogeneous Cloud/CloudLightning en


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2018, the Authors. This paper is made available under the CC-BY-NC-ND 4.0 license. Except where otherwise noted, this item's license is described as © 2018, the Authors. This paper is made available under the CC-BY-NC-ND 4.0 license.
This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement