Business Analytics Adoption Process: An Innovation Diffusion Perspective

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dc.contributor.authorNam, Dalwooko
dc.contributor.authorLee, Junyeongko
dc.contributor.authorLee, Heeseokko
dc.date.accessioned2019-10-31T01:20:07Z-
dc.date.available2019-10-31T01:20:07Z-
dc.date.created2019-07-27-
dc.date.issued2019-12-
dc.identifier.citationINTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, v.49, pp.411 - 423-
dc.identifier.issn0268-4012-
dc.identifier.urihttp://hdl.handle.net/10203/268065-
dc.description.abstractAlthough business analytics (BA) have been increasingly adopted into businesses, there is limited empirical research examining the drivers of each stage of BA adoption in organizations. Drawing upon technologicalorganizational-environmental framework and innovation diffusion process, we developed an integrative model to examine BA adoption processes and tested with 170 Korean firms. The analysis shows data-related technological characteristics derive all stages of BA adoption: initiation, adoption and assimilation. While organizational characteristics are associated with adoption and assimilation stage, only competition intensity in environmental characteristics is associated with initiation stage. Our findings help practitioners and researchers to understand what factors can enable companies to adopt BA in each stage.-
dc.languageEnglish-
dc.publisherELSEVIER SCI LTD-
dc.titleBusiness Analytics Adoption Process: An Innovation Diffusion Perspective-
dc.typeArticle-
dc.identifier.wosid000489702000031-
dc.identifier.scopusid2-s2.0-85070271565-
dc.type.rimsART-
dc.citation.volume49-
dc.citation.beginningpage411-
dc.citation.endingpage423-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT-
dc.identifier.doi10.1016/j.ijinfomgt.2019.07.017-
dc.contributor.localauthorLee, Heeseok-
dc.contributor.nonIdAuthorLee, Junyeong-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorBusiness analytics-
dc.subject.keywordAuthorInnovation diffusion-
dc.subject.keywordAuthorAdoption process-
dc.subject.keywordAuthorData infrastructure-
dc.subject.keywordAuthorData quality management-
dc.subject.keywordAuthorAnalytics centralization-
dc.subject.keywordPlusBIG DATA ANALYTICS-
dc.subject.keywordPlusINFORMATION-TECHNOLOGY CAPABILITY-
dc.subject.keywordPlusSTRUCTURAL EQUATION MODELS-
dc.subject.keywordPlusCLOUD COMPUTING ADOPTION-
dc.subject.keywordPlusSUPPLY CHAIN MANAGEMENT-
dc.subject.keywordPlusDATA QUALITY-
dc.subject.keywordPlusPREDICTIVE ANALYTICS-
dc.subject.keywordPlusFIRM PERFORMANCE-
dc.subject.keywordPlusORGANIZATIONAL ASSIMILATION-
dc.subject.keywordPlusMEDIATING ROLE-
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