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Superstars as emotion-eliciting objects. An examination of the effect of the emotion mix of movie stars

dc.contributor.authorSuárez Vázquez, Ana 
dc.date.accessioned2021-02-23T10:22:39Z
dc.date.available2021-02-23T10:22:39Z
dc.date.issued2015-06-09
dc.identifier.citationJournal of Media Economics, 28(2), p. 84-99 (2015); doi:10.1080/08997764.2015.1031903
dc.identifier.urihttp://hdl.handle.net/10651/58014
dc.description.abstractThis article examines how superstars can influence moviegoers’ decision process via eliciting emotions. The paper builds upon prior research in the role of emotions in consumption. The data of a survey study are used to capture the emotional profile of superstars. Results from a correspondence analysis indicate that superstars can be classified according to the basic emotions they elicit. The resulting “constellations” of superstars influence spectators’ decisions. A nested logit model gives evidence that supports the importance of taking into account the difference among emotions of the same valence. Moreover, the emotional interdependence between superstars seems to influence spectators’ willingness to attend a movie.spa
dc.format.extentp. 84-99spa
dc.language.isoengspa
dc.publisherTaylor & Francisspa
dc.relation.ispartofJournal of Media Economicsspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights© Taylor & Francis
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Media Economics on 09 Jun 2015, available online: http://www.tandfonline.com/10.1080/08997764.2015.1031903
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCinema market, superstars, emotions, nested logit modelspa
dc.titleSuperstars as emotion-eliciting objects. An examination of the effect of the emotion mix of movie starsspa
dc.typejournal articlespa
dc.identifier.doi10.1080/08997764.2015.1031903
dc.relation.publisherversionhttps://doi.org/10.1080/08997764.2015.1031903
dc.rights.accessRightsopen accessspa
dc.type.hasVersionAM


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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