Tourists’ characteristics in relation to expectations, satisfaction and loyalty in hotel industry

IF 1.9 Q3 BUSINESS
Luna Mª Santos Roldán, Beatriz Palacios Florencio, Peter Bolcha
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引用次数: 1

Abstract

Objective: This paper makes an effort in combining the hotel subsector with a specific geographic location and with three determined constructs. Methods: This article uses a unique individual level dataset collected in Spain hotels and attempts to shed more light on three phases of consumer evaluation: expectations, satisfaction and loyalty. In order to relate the evaluation scores in these areas to sociodemographic characteristics of the consumers, we employ regression analysis. Results: The results show that all dependent variables in hand are related to explanatory variables; often in directions assumed by theory or previous empirical studies. Specifically, we find that age, economic status and country of origin are statistically significantly related to consumer evaluation. One of the novelties of our study is inclusion of “exceeded expectations” variable that intends to measure positive or negative surprise with the service. Conclusion: The knowledge of the existence of incidences of demographic variables on satisfaction, loyalty and expectations could not only, but should, lead to the formulation and implementation of differentiated strategies, segmented according to groups of individuals, focused on improving these indicators, adapting services to the demographic characteristics of the clients.
酒店业游客的期望、满意度和忠诚度特征
目的:本文试图将酒店细分行业与特定的地理位置和三个确定的结构相结合。方法:本文使用在西班牙酒店收集的独特的个人层面数据集,并试图阐明消费者评价的三个阶段:期望、满意度和忠诚度。为了将这些领域的评估分数与消费者的社会人口特征联系起来,我们采用回归分析。结果:结果表明,所有手头的因变量都与解释变量相关;通常在理论或先前的经验研究假设的方向。具体来说,我们发现年龄、经济状况和原产国与消费者评价有统计学上显著的关系。我们研究的一个新颖之处在于包含了“超出预期”变量,该变量旨在衡量服务的积极或消极惊喜。结论:了解人口统计变量对满意度、忠诚度和期望的发生率,不仅可以而且应该制定和实施差异化战略,根据个人群体进行细分,重点改进这些指标,使服务适应客户的人口特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ESIC Market
ESIC Market BUSINESS-
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