对印度国内乡村游客的细分

IF 1 Q3 HOSPITALITY, LEISURE, SPORT & TOURISM
N. Chowdhary, Rahul Pratap Singh Kaurav, Shailja Sharma
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引用次数: 4

摘要

印度的乡村旅游竞争日益激烈。客户期待更好的服务和独特的体验。因此,服务提供商必须更好地了解访客的期望,并仔细匹配他们的报价。细分和市场定位是公认的商业原则,在细分的基础上进行了大量的研究。本文的主要目的是确定游客在印度农村旅游动机的不同集群(俗称细分市场)的概况。其目的是解读影响游客访问农村地区的原因集群。这些变量用于确定国内农村旅游市场的各个细分市场。使用自行管理的仪器来收集数据。通过探索性因素分析,确定了四个因素:社会化、逃离、乡村体验和自我放纵。在确定因素后,使用K-means聚类对市场进行细分。研究人员已经确定了国内农村游客的两个相关部分。这些都是家庭静修者和乡村逃亡者。该研究促进了对印度国内乡村旅游市场的理解。它将帮助决策者和从业者设计符合这些目标市场预期的产品和营销计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Segmenting the Domestic Rural Tourists in India
Rural tourism in India is increasingly becoming competitive. Customers expect better services and unique experiences. It is therefore essential for the service providers to better understand the expectations of the visitors and carefully match their offers. Segmentation and targeting of the market are accepted principles of business and there has been a lot of research on the basis of segmentation. The primary objective of this article is to identify the profile of the different clusters (popularly known as segments) of motivations of tourists traveling within rural India. The intention is to decipher the causative clusters, which influences the tourists to visit the rural areas. These variables are used to identify the various rural domestic tourist market segments. A self-administered instrument was used to collect the data. Four factors have been identified through exploratory factor analysis: socialization, escape, rural experience, and self-indulgence. After identifying factors, K-means clustering was used to segment the market. The researchers have identified two relevant segments of domestic rural tourists. These are family retreaters and rural escapists. The study advances the understanding of the Indian domestic rural tourism market. It will help policymakers and practitioners to design products and marketing programs matching the expectations of these targeted markets.
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来源期刊
Tourism Review International
Tourism Review International HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
3.90
自引率
11.80%
发文量
19
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