斯里兰卡科伦坡星级酒店酒店属性对房价的影响

A. Karunarathne, D. S. Silva
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引用次数: 1

摘要

摘要目的:本研究的目的是研究在给定时期内不同酒店属性的可用性或缺位如何影响房价。本研究确定了各种酒店属性对房价的影响。研究方法:通过booking.com在线收集斯里兰卡科伦坡地区星级酒店的可用酒店属性和选定房间类别的房价的公开数据。使用普通最小二乘(OLS)方法来估计酒店设施、质量信号和位置属性下的关键决定因素的影响。结果:结果揭示了星级酒店房价的11个关键属性,说明了7个决定因素的积极影响和4个决定因素的消极影响。酒店等级或星级是房价中最显著的决定因素,它通常决定了酒店的定价行为和服务质量,以及酒店的大部分属性和特征。商务中心的可用性、酒店的位置、健身中心/水疗中心、酒店的客房总数、房间大小和从房间看风景也显著地决定了房价。限制:Booking.com作为斯里兰卡最受欢迎的在线旅行社(OTA),它的信息经常更新。这项研究扩展到科伦坡地区的酒店,因此,结果是基于点数据,这可能不是全岛的代表性或全年的数据。贡献:由于理论应用在斯里兰卡酒店部门的定价和收入决策中未得到充分利用,结果将导致从业者的决策,本研究将补充斯里兰卡背景下收入管理领域文献的缺乏,并可能鼓励未来的研究人员奠定一个鼓舞人心的开端。
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The impact of hotel attributes on room rate in star graded hotels in Colombo, Sri Lanka
Abstract Purpose: The purpose of this study was to examine how the availability or absence of different hotel attributes affect the room rate during a given period. This study identified the impact of various hotel attributes on the room rate. Research methodology: Published data on available hotel attributes, and room rates of selected room categories of star-graded hotels in Colombo district, Sri Lanka, were gathered online through booking.com. The Ordinary Least Squares (OLS) method was used to estimate the impact of key determinants under hotel amenities, quality signals, and locational attributes. Results: The results revealed eleven key attributes of the room rate in star-graded hotels, illustrating the positive impact from seven determinants and the negative impact from four determinants. Hotel class or star grade was the most significant determinant in the room rate, which generally determines the pricing behavior and service quality and most of the attributes and characteristics in a hotel. Availability of a business center, location of the hotel, fitness center/spa, total number of rooms in the hotel, room size, and view from room also significantly determined the room rate. Limitations: Booking.com, as the most popular Online Travel Agent (OTA) used in Sri Lanka, it was assumed that the information is frequently updated. The study was extended for the hotels in the Colombo district, and hence, the results were based on the point data, which may not be an islandwide representation or year through data. Contribution: As theoretical applications are underused in pricing and revenue decisions in the Sri Lankan hotel sector, results will lead to advance the decision making of practitioners, and this study will be a complement to the lack of literature in the field of revenue management in Sri Lankan context and may encourage future researchers laying an inspiring beginning.
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