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dc.contributor.authorPappas, Ilias
dc.contributor.authorMikalef, Patrik
dc.contributor.authorGiannakos, Michail
dc.contributor.authorKrogstie, John
dc.contributor.authorLekakos, George
dc.date.accessioned2017-11-13T10:05:23Z
dc.date.available2017-11-13T10:05:23Z
dc.date.created2017-01-24T14:18:33Z
dc.date.issued2017
dc.identifier.citationLecture Notes in Business Information Processing. 2017, 263 209-218.nb_NO
dc.identifier.issn1865-1348
dc.identifier.urihttp://hdl.handle.net/11250/2465736
dc.description.abstractSocial media websites have managed in a very short period of time to attract and maintain a massive user. Recognizing their potential, the vast majority of companies are deploying strategies in order to harness their potential in various ways, and ultimately, to establish their competitive position. Nonetheless, being relevantly novel, it still remains unclear as to how it is possible to make the most out of social media, especially in competitive and highly dynamic environments. As with any new technology, it is important to understand the mechanisms and processes through which social media can be of business value for companies in order to incorporate them into their competitive strategies. To this end, the present paper aims to provide a theoretical discussion leading up to a conceptual research framework that can help explain the mechanisms through which social media and analytics lead to competitive performance gains. The conceptual research framework builds on the resource-based view (RBV) and dynamic capabilities view (DCV) of the firm, and provides a synthesis of the two theoretical perspectives.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.relation.urihttp://link.springer.com/chapter/10.1007/978-3-319-52464-1_19
dc.titleSocial Media and Analytics for Competitive Performance: A Conceptual Research Frameworknb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber209-218nb_NO
dc.source.volume263nb_NO
dc.source.journalLecture Notes in Business Information Processingnb_NO
dc.identifier.doi10.1007/978-3-319-52464-1_19
dc.identifier.cristin1436699
dc.description.localcode© Springer Verlag. This is the authors' accepted and refereed manuscript to the article. LOCKED until 24.1.2018 due to copyright restrictions. The final publication is available at https://link.springer.com/chapter/10.1007%2F978-3-319-52464-1_19nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknikk og informasjonsvitenskap
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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