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Understanding information proactiveness and the content management system adoption in pre-implementation stage

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dc.contributor.authorHwang, Yujong-
dc.contributor.authorAl-Arabiat, Mohanned-
dc.contributor.authorShin, Dong-Hee-
dc.contributor.authorLee, Younghwa-
dc.date.available2019-01-22T14:22:21Z-
dc.date.issued2016-11-
dc.identifier.issn0747-5632-
dc.identifier.issn1873-7692-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/1637-
dc.description.abstractThe overall technology acceptance literature does not pay sufficient attention to the issue of the mandated use of systems as the traditional acceptance models (e.g. TAM) were originally built, tested, and validated by being applied to technologies that were mainly voluntary in nature, that is, the users had the choice of whether to use or not use the technology. Few have studied end users' proactive motivation to use information and attitude toward newly implemented technologies within organizational contexts, before end-users start using the technology or pre-implementation stage. This research proposes that information proactiveness has influences on the content management systems adoption beliefs such as perceived ease of use and perceived usefulness. The proposed model was empirically tested using the data collected from content management systems end-users. As theorized, information proactiveness was found to be a significant determinant of system users' perceived ease of use but not perceived usefulness in pre-implementation stage. Furthermore, perceived behavioral control was found to be a strong determinant of systems users' attitude. The study findings provide important insights on enhancing system users' adoption behavior in pre-implementation stage. (C) 2016 Elsevier Ltd. All rights reserved.-
dc.format.extent9-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleUnderstanding information proactiveness and the content management system adoption in pre-implementation stage-
dc.typeArticle-
dc.identifier.doi10.1016/j.chb.2016.07.025-
dc.identifier.bibliographicCitationCOMPUTERS IN HUMAN BEHAVIOR, v.64, pp 515 - 523-
dc.description.isOpenAccessN-
dc.identifier.wosid000384775200051-
dc.citation.endPage523-
dc.citation.startPage515-
dc.citation.titleCOMPUTERS IN HUMAN BEHAVIOR-
dc.citation.volume64-
dc.type.docTypeArticle-
dc.publisher.location영국-
dc.subject.keywordAuthorInformation proactiveness-
dc.subject.keywordAuthorPerceived ease of use-
dc.subject.keywordAuthorPerceived usefulness-
dc.subject.keywordAuthorAttitude-
dc.subject.keywordAuthorPerceived behavioral control-
dc.subject.keywordPlusTECHNOLOGY ACCEPTANCE MODEL-
dc.subject.keywordPlusPLANNED BEHAVIOR-
dc.subject.keywordPlusSKILL ACQUISITION-
dc.subject.keywordPlusSOCIAL NETWORKING-
dc.subject.keywordPlusUSER ACCEPTANCE-
dc.subject.keywordPlusORGANIZATIONS-
dc.subject.keywordPlusINTENTIONS-
dc.subject.keywordPlusMOTIVATION-
dc.subject.keywordPlusSUCCESS-
dc.subject.keywordPlusTRUST-
dc.relation.journalResearchAreaPsychology-
dc.relation.journalWebOfScienceCategoryPsychology, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPsychology, Experimental-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
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