DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | von Luck, Kai | - |
dc.contributor.author | Runge, Michael | |
dc.date.accessioned | 2020-09-29T15:08:22Z | - |
dc.date.available | 2020-09-29T15:08:22Z | - |
dc.date.created | 2019 | |
dc.date.issued | 2019-06-17 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12738/8779 | - |
dc.description.abstract | Ziel dieser Arbeit ist herauszufinden, wie sich Influencer Marketing als Kommunikationsinstrument der Sportbranche auf dem sozialen Netzwerk Instagram darstellt und inwiefern Profisportlern und Unternehmen daraus Chancen und Vorteile ziehen können. Nach dem theoretischen Teil wird das Thema im wissenschaftlichen Teil durch Experteninterviews analysiert. | de |
dc.description.abstract | The aim of this thesis is to find out how Influencer Marketing presents itself as a communication tool of the sports industry on the social network Instagram and to what extent professional athletes and companies can draw opportunities and advantages from it. After the theoretical part, the topic will be analyzed in the scientific part through interviews with experts. | en |
dc.language.iso | de | de |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | - |
dc.subject.ddc | 004 Informatik | |
dc.title | Influencer Marketing als Kommunikationsinstrument der Sportbranche auf Instagram – empirische Untersuchung der Chancen für Unternehmen und Profisportler in Deutschland | de |
dc.title.alternative | Influencer Marketing as a communication tool of the sports industry on Instagram - empirical analysis of the opportunities for companies and professional athletes in Germany | en |
dc.type | Thesis | |
openaire.rights | info:eu-repo/semantics/openAccess | |
thesis.grantor.department | Department Informatik | |
thesis.grantor.place | Hamburg | |
thesis.grantor.universityOrInstitution | Hochschule für angewandte Wissenschaften Hamburg | |
tuhh.contributor.referee | Draheim, Susanne | - |
tuhh.gvk.ppn | 1667534874 | |
tuhh.identifier.urn | urn:nbn:de:gbv:18302-reposit-87811 | - |
tuhh.note.extern | publ-mit-pod | |
tuhh.note.intern | 1 | |
tuhh.oai.show | true | en_US |
tuhh.opus.id | 4885 | |
tuhh.publication.institute | Department Informatik | |
tuhh.type.opus | Masterarbeit | - |
dc.subject.gnd | Influencer | |
dc.type.casrai | Supervised Student Publication | - |
dc.type.dini | masterThesis | - |
dc.type.driver | masterThesis | - |
dc.type.status | info:eu-repo/semantics/publishedVersion | |
dc.type.thesis | masterThesis | |
dcterms.DCMIType | Text | - |
tuhh.dnb.status | domain | - |
item.creatorGND | Runge, Michael | - |
item.fulltext | With Fulltext | - |
item.creatorOrcid | Runge, Michael | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.advisorGND | von Luck, Kai | - |
item.languageiso639-1 | de | - |
item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
item.openairetype | Thesis | - |
Appears in Collections: | Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Masterthesis_Michael_Runge.pdf | 2.03 MB | Adobe PDF | View/Open |
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