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AuthorBrock, Vitor Fabian
AuthorKhan, Habib Ullah
Available date2023-12-28T11:23:58Z
Publication Date2017-04-21
Publication NameInternational Journal of Business Information Systems
Identifierhttp://dx.doi.org/10.1504/IJBIS.2017.083688
CitationBrock, V. F., & Khan, H. U. (2017). Are enterprises ready for big data analytics? A survey-based approach. International Journal of Business Information Systems, 25(2), 256-277.
ISSN1746-0972
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85007328497&origin=inward
URIhttp://hdl.handle.net/10576/50669
AbstractBig data analytics is a fascinating topic in the field of computer science and information systems as it challenges fundamental aspects of computation. The aim of this study is to investigate the acceptance and usage of big data analytics in enterprises, and to understand how end-users perceptions and organisational factors influence the implementation of big data projects. This study unfolds in two objectives. The first objective is to examine the concepts and elements of big data and big data analytics. The second objective is to propose and empirically validate an extensive model of technology acceptance incorporating individual perceptions and organisational elements. The proposed research model expands the traditional technology acceptance model by incorporating the dimensions of organisational learning capabilities. This study surveyed 359 information technology professionals from 83 countries in various industries who are studying at the University of Liverpool Online. This study provides relevant academic and practical insight as it integrates two technology adoption frameworks.
Languageen
PublisherInderscience Publishers
SubjectBig data
Exabyte
OLD
Organisational learning capabilities
TAM
Technology acceptance model
TitleAre enterprises ready for big data analytics? A survey-based approach
TypeArticle
Pagination256-277
Issue Number2
Volume Number25
ESSN1746-0980
dc.accessType Abstract Only


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