Vargas Elena Parra, de-Juan-Ripoll Carla, Panadero Marta Bueno, Alcañiz Mariano
Instituto de Investigación e Innovación en Bioingeniería (i3B), Universitat Politècnica de València, Valencia, Spain.
Heliyon. 2021 Jul 17;7(7):e07579. doi: 10.1016/j.heliyon.2021.e07579. eCollection 2021 Jul.
The significance of national tourism in the global data highlights the importance of studying the characteristics of Spanish tourists that show interest in visiting Valencia (Spain). Personality traits might influence tourism behavior, and their importance has scarcely been addressed in the prior tourism literature.
We aimed to identify the touristic profiles of national tourists based on their lifestyles and to analyze the influence of personality traits in tourism segmentation.
329 individuals participated in this study, they responded questionnaires about sociodemography, personality, lifestyle and a 3-item questionnaire developed by the authors. We performed analysis to obtain profiles by lifestyle, we carried out tests to study differences in personality traits among profiles and we analyzed the effects of the responses to the author-developed questionnaire and the demographic characteristics of the subjects on their cluster membership.
The results show that this market can be segmented into four clusters. We found significant statistical differences in personality traits among profiles. In addition, the authors present an author-designed questionnaire that, together with demographic variables, is able to predict participants' profiles.
The results suggest that lifestyle is an appropriate indicator for this market segmentation and the analysis of its relationship with personality provides a deep comprehension of the resulting profiles. In addition, the profile prediction by the responses to the author-developed questionnaire constitutes a new basis for tourism segmentation, as these predictors might be used as "quick touristic classifiers".
The study of decision-making processes in tourism allows researchers and sellers to predict tourist behaviors and adapt offers to tourists' preferences and interests.
全球数据中民族旅游的重要性凸显了研究对游览瓦伦西亚(西班牙)感兴趣的西班牙游客特征的重要性。人格特质可能会影响旅游行为,而其重要性在以往的旅游文献中几乎未被提及。
我们旨在根据国内游客的生活方式确定其旅游概况,并分析人格特质在旅游细分中的影响。
329人参与了本研究,他们回答了关于社会人口统计学、人格、生活方式的问卷以及作者编制的一份包含三个项目的问卷。我们通过生活方式进行分析以获得概况,进行测试以研究不同概况之间人格特质的差异,并分析对作者编制问卷的回答以及受试者的人口统计学特征对其聚类归属的影响。
结果表明,这个市场可以细分为四个聚类。我们发现不同概况之间在人格特质上存在显著的统计学差异。此外,作者提出了一份作者设计的问卷,该问卷与人口统计学变量一起能够预测参与者的概况。
结果表明,生活方式是这个市场细分的一个合适指标,对其与人格关系的分析能让我们深入理解由此产生的概况。此外,通过对作者编制问卷的回答进行概况预测构成了旅游细分的一个新基础,因为这些预测因素可被用作“快速旅游分类器”。
对旅游决策过程的研究能让研究人员和销售者预测游客行为,并根据游客的偏好和兴趣调整产品供应。