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dc.contributor.authorAlonso Dos Santos, Manuel 
dc.contributor.authorAguado Berenguer, Sergio
dc.contributor.authorCalabuig Moreno, Ferran
dc.contributor.authorAlguacil Jiménez, Mario
dc.date.accessioned2024-07-23T11:55:58Z
dc.date.available2024-07-23T11:55:58Z
dc.date.issued2024-04-15
dc.identifier.citationAlonso Dos Santos, M. et. al. Event Management, Vol. 28, pp. 401–419. [https://doi.org/10.3727/152599523X16990639314765]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/93418
dc.description.abstractThe study aims to explain how marketing variables (quality, value, satisfaction) combined with corporate image can explain the loyalty and word-of-mouth of those attending a sporting event. It also aims to know the different user profiles in the event and how these variables interact in each of these profiles. For this purpose, 697 sporting event attendees were surveyed. Structural model analysis was combined with unobserved a posteriori segmentation (POS) through PLS, which allows us to know the groups without a prior criterion. The results confirmed the hypothesis, explaining loyalty and word-of-mouth in a sporting event and revealing three unobserved groups of fans: involved, nonconforming, and opportunistic. The proposed model is useful to explain loyalty and word-of-mouth and the segments of users. On the other hand, corporate image must be considered to understand consumer behavior in sporting events, because it has shown influence, especially in the involved and opportunistic segments.es_ES
dc.language.isoenges_ES
dc.publisherIngenta Connectes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPLS-POSes_ES
dc.subjectLoyaltyes_ES
dc.subjectWord-of-mouthes_ES
dc.titlePredicting Loyalty and Word-of-Mouth at a Sports Event Through a Structural Model and Posteriori Unobserved Segmentationes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3727/152599523X16990639314765
dc.type.hasVersionVoRes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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