基于聚类分析的德黑兰大巴扎入境游客类型研究:引入新的组合维度基础实现实际行为

IF 0.5 Q4 HOSPITALITY, LEISURE, SPORT & TOURISM
M. Nematpour, Mohammad Ghaffari
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引用次数: 4

摘要

考虑到目的地市场细分作为一种有影响力的营销手段对于识别和理解细分市场的心理特征的重要性,本研究调查了参加德黑兰大集市的入境游客的差异。对数据进行因子分析,提取出15个动机和生活方式因素,并采用聚类分析进行完善。调查结果显示了四种类型的入境游客:“理想感寻求者”、“特别有抱负的游客”、“中等需求度假者”、“有原则行为爱好者”。采用卡方检验对四组进行独立分析,并根据游客的类型和社会人口统计资料进行比较。受访者的社会人口统计资料表明,在性别、年龄、旅行同伴和以前到德黑兰大集市的旅行方面,四个集群之间存在统计学上的显著差异。由于动机和生活方式可能会影响他们在特定度假目的地及其相关产品和服务的决策风格,因此本研究调查了决策风格维度在每个分类细分市场的分布,以了解群体的决策风格。以细分分析的形式结合动机和生活方式维度,使研究人员和管理人员能够确定特定类型的游客群体,以进行有针对性的营销活动,特别是在文化旅游的背景下进行定向推广计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Typology of Inbound Tourists Who Visited Tehran Grand Bazaar Using Cluster Analysis: Introducing New Combining Dimensional Base to Realize Actual Behavior
Considering the importance of destination market segmentation as an influential marketing effort for identifying and understanding segments’ psychological characteristics, the present study investigates the differences of inbound visitors' who attend to the grand bazaar of Tehran city. Factor analysis of the data extracted fifteen motivation and lifestyle factors, which the process was perfect by using cluster analysis. The findings indicated four types of inbound visitors: ‘Ideal-sense seekers’, ‘Special aspiring visitors’, ‘Middle want vacationers’, ‘Principled behavior enthusiasts’. A chi-square test was applied to compare four groups for independence analysis based on the types as well as the visitors' socio-demographic profiles. The socio-demographic profiles of respondents indicated statistically significant differences between the four clusters in terms of gender, age, travel companions, and previous trips to Tehran grand bazaar. Since the motivations and lifestyle would potentially influence their decision-making style in particular holiday destination and its related products and services, the study investigated the distribution of the decision-making style dimensions to every classified segment to understanding the decision-making styles of groups. Combining motivation and lifestyle dimensions in the form of segmentation analysis allows researchers and managers to identify specific types of tourists groups for targeted marketing campaigns specifically directed promotion programs in the context of cultural tourism.
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