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ABSTRACTTheoretically-informed studies and theoretical integration remain overdue in the field of sport tourism. This study focused on the theory of planned behaviour (TPB) for a critical engagement with the theory that researchers have already been employing in sport tourism research, and tourism ideal affect developed based on the affect valuation theory for those that have yet to be critically applied in sport tourism. The study aimed to investigate (a) TPB's predictive power of intention and actual behaviour in sport tourism contexts, and (b) whether such predictive power can be enhanced by adding tourism ideal affect. Two-wave data collection was implemented in Japan, involving 418 adults. The findings demonstrated that TPB could significantly predict intention and actual behaviour in sport tourism contexts. Subjective norm predicted intention, while intention predicted sport tourism behaviour. Although adding tourism ideal affect did not improve the predictive power of intention and actual behaviour, tourism ideal low-arousal positive affect was found to be negatively related to sport tourism behaviour. Along with theoretical contributions, this research suggests that strengthening promotions involving tourists' significant others (e.g. adding family components) by targeting Japanese people who have a lower level of tourism ideal low-arousal positive affect may be an effective approach to further sport tourism development in Japan.KEYWORDS: Sport tourismtourism ideal affecttheory of planned behaviourJapan AcknowledgementsThis work was supported by the Wakayama University CTR Research Support Fund Project Number 2019C2. The author would like to thank Dr. Shintaro Kono (University of Alberta) for his insightful comments and suggestions on the data analyses.Disclosure statementNo potential conflict of interest was reported by the author.Notes1 A follow-up hierarchical logistic regression analysis was performed, in which only tourism ideal low-arousal positive affect was added to the original TPB model. The test of this follow-up model was also significant, χ2(8) = 78.78, p < .01, and a significant improvement was observed with this addition, χ2(1) = 5.07, p < .05, although the overall correction classification rate for sport tourism behaviour was still 80.4%.Additional informationFundingThis work was supported by Wakayama University CTR Research Support Fund Project: Grant Number 2019C2.
Eiji Ito (Mon,) studied this question.