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A multimethod approach to evaluating social media campaign effectiveness

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dc.contributor.authorPaek, H.-J.-
dc.contributor.authorHove, T.-
dc.contributor.authorCole, R.T.-
dc.date.accessioned2021-06-23T04:23:30Z-
dc.date.available2021-06-23T04:23:30Z-
dc.date.issued2013-00-
dc.identifier.issn1530-1605-
dc.identifier.issn1530-1605-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/29259-
dc.description.abstractThis study reports data from the website monitoring tools Google Analytics and Sprout Social and an online survey for a child welfare social media campaign on three social media platforms-a blog, Facebook, and Twitter. This study has two purposes: (1) to identify characteristics of visitors to causerelated social media platforms and (2) to examine factors associated with the campaign's behavioral goals. Our data produced two key findings. First, there were different visitor patterns across the three platforms in terms of visitor characteristics and engagement. Second, factors positively related to behavioral outcomes were frequency of social media use, interactivity, perceived campaign credibility, and emotional engagement. ? 2012 IEEE.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleA multimethod approach to evaluating social media campaign effectiveness-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/HICSS.2013.47-
dc.identifier.scopusid2-s2.0-84875548989-
dc.identifier.wosid000318231601089-
dc.identifier.bibliographicCitationProceedings of the Annual Hawaii International Conference on System Sciences, pp 1570 - 1579-
dc.citation.titleProceedings of the Annual Hawaii International Conference on System Sciences-
dc.citation.startPage1570-
dc.citation.endPage1579-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusBehavioral outcomes-
dc.subject.keywordPlusEmotional engagements-
dc.subject.keywordPlusGoogle Analytics-
dc.subject.keywordPlusMonitoring tools-
dc.subject.keywordPlusMulti-method approach-
dc.subject.keywordPlusOnline surveys-
dc.subject.keywordPlusSocial media platforms-
dc.subject.keywordPlusVisitor patterns-
dc.subject.keywordPlusBehavioral research-
dc.subject.keywordPlusSocial networking (online)-
dc.subject.keywordPlusSystems science-
dc.subject.keywordAuthorsocial media-
dc.subject.keywordAuthorcampaign-
dc.subject.keywordAuthorwebsite monitoring tools-
dc.subject.keywordAuthorchild welfare-
dc.subject.keywordAuthornonprofit organization-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/6480029/-
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