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dc.contributor.authorBowen, M.
dc.contributor.authorWen, Xiaohan Hannah
dc.contributor.authorKim, S.
dc.date.accessioned2023-09-11T12:50:09Z
dc.date.available2023-09-11T12:50:09Z
dc.date.issued2023-03
dc.identifier.issn0923-0645en_US
dc.identifier.urihttp://hdl.handle.net/10679/8788
dc.identifier.urihttps://link.springer.com/article/10.1007/s11002-021-09606-3
dc.description.abstractHow do people react to business model innovation (BMI) announcements on social media? Is the analysis of social media reactions to BMI announcements a fruitful method for assessing the potential and pitfalls of BMIs? This research provides a novel perspective by answering these questions using a multi-case study approach. Our results show that social media reactions to BMI announcements can provide first indications of the success or failure of a BMI as well as initial information on how to further adjust the BMI. However, our results also indicate that classical means of assessing the success of innovations (i.e., through assessing the valence of user reactions) are not effective in the context of BMIs.en_US
dc.description.sponsorshipUniversity of Missouri
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofMarketing Letters
dc.rightsrestrictedAccess
dc.titleA lure or a turn-off: social media reactions to business model innovation announcementsen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-0835-1839 & YÖK ID 257267) Wen, Xiaohan
dc.contributor.ozuauthorWen, Xiaohan Hannah
dc.identifier.volume34en_US
dc.identifier.issue1en_US
dc.identifier.startpage13en_US
dc.identifier.endpage33en_US
dc.identifier.wosWOS:000742563700001
dc.identifier.doi10.1007/s11002-021-09606-3en_US
dc.subject.keywordsBusiness model innovationen_US
dc.subject.keywordsCase studyen_US
dc.subject.keywordsContent analysisen_US
dc.subject.keywordsSocial mediaen_US
dc.subject.keywordsWord-of-mouthen_US
dc.identifier.scopusSCOPUS:2-s2.0-85123063352
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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