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Examining key hotel attributes for guest sleep and overall satisfaction. 检查客人睡眠和整体满意度的主要酒店属性。
Pub Date : 2021-04-01 DOI: 10.1177/1467358420961544
Rebecca Robbins, Michael Grandner, Adam Knowlden, Kimberly Severt

Introduction: Despite the fact that hotels provide a venue for sleeping, there is surprisingly little research that has explored sleep among hotel guests. The aim of this study is to identify the relationship between hotel attributes (e.g., light in the guestroom, bed linens), guest sleep, and overall guest satisfaction.

Methods: Cross-sectional survey data were obtained from frequent business and leisure travelers (N = 609). Guest sleep satisfaction and overall guest satisfaction were measured on 5-point Likert scales. Participants were asked to report the extent to which hotel attributes (e.g., "Room too light or too dark") related to their sleep on a scale from 1 (not at all) to 5 (very much). We used ordinal logistic regression to predict guest sleep and hotel satisfaction using hotel attributes as predictors while controlling for age, sex, and relationship status.

Results: Hotel guest sleep did not differ between business and leisure travelers. Hotel guest sleep was inversely associated with "uncomfortable bed linen," "uncomfortable pillows," and "sound from the air conditioning unit or heater." Regression revealed that sleep satisfaction was a strong predictor of overall hotel satisfaction.

Conclusions: Our study suggests that guest sleep is be a critical component of the guest satisfaction equation. Importantly, our study illuminated the hotel attributes that offer the biggest contribution to hotel guest sleep and the specific steps for improving guest sleep.

引言:尽管酒店提供了一个睡觉的地方,但令人惊讶的是,很少有研究探索酒店客人的睡眠。本研究的目的是确定酒店属性(如客房灯光、床上用品)、客人睡眠和整体客人满意度之间的关系。方法:从经常出差和休闲的旅行者中获得横断面调查数据(N = 609)。客人睡眠满意度和客人总体满意度采用李克特5分制进行测量。参与者被要求报告酒店属性(例如,“房间太亮或太暗”)与他们睡眠的关系程度,从1(一点也不)到5(非常)。我们使用有序逻辑回归来预测客人的睡眠和酒店满意度,使用酒店属性作为预测因子,同时控制年龄、性别和关系状态。结果:商务旅行者和休闲旅行者的酒店客人睡眠没有差异。酒店客人的睡眠与“不舒服的床单”、“不舒服的枕头”和“空调或加热器发出的声音”成反比。回归分析显示,睡眠满意度是酒店整体满意度的重要预测因子。结论:我们的研究表明,客人睡眠是客人满意度方程的关键组成部分。重要的是,我们的研究阐明了对酒店客人睡眠贡献最大的酒店属性以及改善客人睡眠的具体步骤。
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Tourism and hospitality research : the Surrey quarterly review
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