ABSTRACT

Sport tourism is a heterogeneous phenomenon with diverse motivations. However, the field of water sport tourism has not yet been intensely analyzed. The purpose of this study was twofold. Firstly, the study aimed to unfold the consumer profile of water sport tourists. Secondly, the role of demographic variables and behavioural attributes concerning flow experience in the activities was unveiled. Since flow has the potential of sustaining participation in physical activity pursuits as well as raising destination loyalty, its analysis in the field of leisure and tourism is of utmost interest. A quantitative research method was chosen. The subjects were 297 Hungarian water sport participants. Data were analyzed through k-means clustering and a multivariate general linear model using SPSS software. First, the cluster analysis yielded four clusters based on sport and tourism motivations, namely: Sport-oriented, Leisure-ignoring, Leisure-oriented, Social-oriented groups. Second, in the “Absorption in the Activity” dimension of flow experience, females demonstrated higher scores than males, and participants showed significant differences according to their skill levels. Furthermore, as a predictor variable, flow Absorption influenced expenses on sport lessons, while desired skill level affected the frequency of practising. These findings contribute to reaching water sport tourists more adequately.

摘要

体育旅游业是一种具有多种动机的异质现象。然而，尚未对水上运动旅游领域进行深入分析。这项研究的目的是双重的。首先，该研究旨在揭示水上运动游客的消费特征。其次，揭示了人口统计学变量和行为属性在活动中与流动经验有关的作用。由于流量具有维持参与体育活动以及提高目的地忠诚度的潜力，因此在休闲和旅游领域的分析非常重要。选择了定量研究方法。受试者为297名匈牙利水上运动参与者。数据通过k分析-均值聚类和使用SPSS软件的多元通用线性模型。首先，基于体育和旅游动机的聚类分析得出四个聚类，分别是：体育型，无视休闲，休闲型，社会型。其次，在流动体验的“活动中的吸收”维度中，女性表现出比男性更高的分数，并且参与者根据其技能水平表现出显着差异。此外，作为预测变量，流量吸收会影响体育课的费用，而所需的技能水平会影响练习的频率。这些发现有助于更充分地吸引水上运动游客。