Lights! Camera! Action! Unveiling film tourists' profile

IF 1.1 Q4 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Minerva Aguilar-Rivero, M. Solano-Sánchez, T. López-Guzmán, S. Moral-Cuadra
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引用次数: 0

Abstract

PurposeThis research aims to analyse the degree of influence that viewing frequency and preferences for movies and television (TV)/platforms series and aspects related to movie destinations have on the socio-demographic profile of the tourist interested in film tourism.Design/methodology/approachAn artificial neural network (ANN) is used, in which the input values correspond to the questions asked through the questionnaire and the estimated output values are the socio-demographic profile.FindingsLow frequency of attendance at movie theatres, especially amongst the youngest. Profiles with a higher level of education value the cultural elements in the destination more. A high-income profile is revealed that considers the visit to the film destination as a secondary reason for their trip since they value the proximity to the main holiday destination and show that this visit does not bring them greater satisfaction than other activities. Experiential tourism is another aspect valued by the profiles with the highest income, which can be easily related to film tourism.Originality/valueCustomised input values estimate specific output values, building “identikits” of tourists based on the responses incorporated into the model and easily customisable by the researcher, making them useful in film tourism products and service elaboration. Although this method has been used successfully on other tourist profile types, no studies of this type applied to film tourism were found, and this work aims to pioneer this line.
灯光摄像机!行动揭开电影游客的神秘面纱
目的本研究旨在分析电影和电视(TV)/平台系列剧的观看频率和偏好以及电影目的地的相关方面对电影旅游感兴趣的游客的社会人口概况的影响程度。研究采用了人工神经网络(ANN),其中输入值与调查问卷中提出的问题相对应,估计输出值为社会人口概况。教育程度较高的受访者更看重目的地的文化元素。高收入人群认为,参观电影目的地是他们旅行的次要原因,因为他们更看重与主要度假 目的地的距离,并认为与其他活动相比,参观电影目的地不会给他们带来更大的满足感。原创性/价值定制的输入值可以估算出具体的输出值,根据纳入模型的回答建立游客的 "识别模型",研究人员可以很容易地对其进行定制,使其在电影旅游产品和服务的开发中发挥作用。虽然这种方法已成功应用于其他游客特征类型,但目前还没有发现将这种方法应用于电影旅游的研究,这项工作旨在开拓这一领域。
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来源期刊
CiteScore
2.90
自引率
10.00%
发文量
63
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