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dc.contributor.authorRenchen, Kai Dominik
dc.date.accessioned2022-04-18T00:02:13Z
dc.date.available2022-04-18T00:02:13Z
dc.date.issued2020
dc.identifier.issn2336-6494 Sherpa/RoMEO, JCR
dc.identifier.urihttps://repozitar.mendelu.cz/xmlui/handle/20.500.12698/1546
dc.description.abstractThis study evaluates the impact of influencer marketing on consumers. Although online influencers are long established in German B2C markets, research in the field is scarce. Marketing managers are unsure how influencer marketing strategies should be drafted and which influencers should be recruited in order to maximize their marketing efforts at the consumer level. Based on a review of previous theoretical and empirical literature, a mixed method empirical study comprising semistructured interviews with three German fashion influencers and a consumer survey (N = 385) among the followers of these influencers are conducted to evaluate the impact of influencer activity on consumer followership, brand awareness and purchase intention. Results indicate that the intensity of influencer network involvement, intrinsic influencer motivation, authenticity of communication style and the real-life character of influencer posts increase the dependent variables. Hence, the empirical study has contributed to identify the most important determiners for the German B2C fashion influencer segment. Marketing managers are strongly advised to select influencers adequately and organize their marketing strategy in correspondence with their company and products.en
dc.format138-153
dc.publisherMendelova univerzita v Brně
dc.relation.ispartofEuropean Journal of Business Science and Technology
dc.relation.urihttps://doi.org/10.11118/ejobsat.2020.009
dc.rightsCC BY-SA 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectinfluenceren
dc.subjectmarketingen
dc.subjectB2Cen
dc.subjectfashionen
dc.titleInfluencer Impact on Brand Awareness: A Mixed Method Survey in the German Fashion Segmenten
dc.typeJ_ČLÁNEK
dc.date.updated2022-04-18T00:02:12Z
dc.description.versionOA
local.identifier.doi10.11118/ejobsat.2020.009
local.identifier.scopus2-s2.0-85099757825
local.number2
local.volume6
local.identifier.obd43920377
local.identifier.e-issn2694-7161
local.contributor.affiliationPEF


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CC BY-SA 4.0
Except where otherwise noted, this item's license is described as CC BY-SA 4.0