Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/11961
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dc.contributor.authorHameed, M-
dc.contributor.authorCounsell, S-
dc.date.accessioned2016-01-29T10:35:33Z-
dc.date.available2014-02-
dc.date.available2016-01-29T10:35:33Z-
dc.date.issued2014-
dc.identifier.citationInternational Journal of Innovation Management,18, (01): pp. 1450007 - 1450007, (2014)en_US
dc.identifier.issn1363-9196-
dc.identifier.issn1757-5877-
dc.identifier.urihttp://www.worldscientific.com/doi/abs/10.1142/S1363919614500078-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/11961-
dc.description.abstractThis article presents the findings of a meta-analysis of innovation characteristics that influence the adoption of Information Technology (IT) in organizations. Past studies that examine the determinants of IT innovation adoption have produced inconsistent and contradictory results and deducing a definitive set of attributes for innovation adoption has become impractical. The study aggregated findings of past research on IT adoption using meta-analysis to identify key factors in terms of innovation or technology that influences adoption of IT in organization. Six innovation characteristics most commonly examined by researchers were analysed. The results of our meta-analysis confirmed that relative advantage, compatibility, cost, observability and trialability were strong determinants of IT innovation adoption. However, the study found no association between complexity and IT innovation adoption. The effect of stage of innovation, type of innovation, type of organization and size of organization as four moderating conditions was also examined.en_US
dc.format.extent1450007 - 1450007-
dc.language.isoenen_US
dc.publisherWorld Scientific Publishingen_US
dc.subjectAdoption of information technologyen_US
dc.subjectInnovation adoptionen_US
dc.subjectMeta-analysisen_US
dc.subjectModerating effecten_US
dc.titleEstablishing relationships between innovation characteristics and it innovation adoption in orgnisations: A meta-analysis approacheen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1142/S1363919614500078-
dc.relation.isPartOfInternational Journal of Innovation Management-
pubs.issue01-
pubs.publication-statusPublished-
pubs.publication-statusPublished-
pubs.volume18-
Appears in Collections:Dept of Computer Science Research Papers

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