Şengöz, AyşeKement, ÜzeyirÇavuşoğlu, MuhittinBayar, Sinan Baran2025-02-182025-02-182024Sengoz, A., Cavusoglu, M., Kement, U., & Bayar, S. B. (2024). Unveiling the symphony of experience: Exploring flow, inspiration, and revisit intentions among music festival attendees within the SOR model. Journal of Retailing and Consumer Services, 81, 104043.https://www.sciencedirect.com/science/article/pii/S0969698924003394https://doi.org/10.1016/j.jretconser.2024.104043https://hdl.handle.net/20.500.12695/3315This study examined the experiences of music festival attendees and their perceptions within the stimulus-organism-response (SOR) model. In this context, antecedents of the flow experience of music festival attendees (skill performance, ambiance, self-congruence, other consumers' passion, consumer-to-consumer interaction) served as stimuli, whereas flow experience was considered as an organism. The response aspect involved the use of behavioral intention that shapes attendee intention to revisit. Moreover, consumer inspiration was introduced as a moderator between the flow experience and the intention to revisit. An online questionnaire was used to collect data, and partial least squares structural equation modeling was used for data analysis. The impact of ambiance, self-congruence, other consumers’ passion, and consumer-to-consumer interactions on the flow experience was identified. In addition, the evocation or transcendence state of inspiration (consumer inspired by) and the motivational state of inspiration (consumer inspired to) moderated the relationship between the flow experience and the intention to revisit. The findings of this study present several theoretical implications contributing to the broader framework of the SOR model and enhance understanding of the factors influencing both flow experience and subsequent intentions to revisit within the context of music festivals.eninfo:eu-repo/semantics/closedAccessInspiration of evocationInspiration of motivationFlow experienceTomorrowland music festivalStimulus-organism-response modelArticle202481112