标记
探索性因素分析
索引(排版)
营销
收入
独创性
质量(理念)
入住后评估
酒店业
占用率
服务质量
款待
业务
服务(商务)
计算机科学
广告
旅游
工程类
心理学
建筑工程
哲学
万维网
会计
认识论
法学
社会心理学
政治学
创造力
作者
Dina Marie V. Zemke,Carola Raab,Kaiyang Wu
出处
期刊:International Journal of Contemporary Hospitality Management
[Emerald (MCB UP)]
日期:2018-01-08
卷期号:30 (2): 919-938
被引量:17
标识
DOI:10.1108/ijchm-06-2016-0330
摘要
Purpose The purpose of this paper is to test the relationships between a hotel’s design quality and the property’s business performance. Design/methodology/approach Hotel guests’ assessments of the design quality of hotels that they recently visited are tested using the design quality indicator (DQI). Business performance is measured using indexed values for each property’s occupancy, average daily rate (ADR) and revenue per available room (RevPAR). The data are analyzed using exploratory factor analysis and a variation of a hedonic pricing model. Findings Factor analysis reduced the DQI instrument to 19 measurement items. Factors that measure navigability and signage positively impact occupancy index. Factors that measure flexible space usage negatively impact the RevPAR and ADR indices. Factors that reflect aesthetic constructs, including Urban & Social Integration and Character & Form, positively impact the RevPAR and ADR indices. Research limitations/implications The study examines a nationwide sample of guests from two full-service brands of a single multi-brand hotel company. The study provides a parsimonious, validated design measurement instrument and a revised hedonic pricing analysis. Practical implications Hoteliers can use this technique to assist with resource allocation decisions. Aesthetic elements, including the building’s Urban & Social Integration with its surroundings and its Character & Form, lead to higher ADR and RevPAR performance. Managers should ensure a coherent layout and good signage program to drive occupancy. Originality/value This study offers a technique to measure design quality and a new method of performing a hedonic pricing analysis.
科研通智能强力驱动
Strongly Powered by AbleSci AI