Hotel Analytics: The Case for Reverse Competitive Sets

IF 3.4 4区管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM

Cornell Hospitality Quarterly Pub Date : 2021-08-08 DOI:10.1177/19389655211036656

Z. Schwartz, Timothy Webb, Jing Ma

引用次数: 1

Abstract

Hotel industry practitioners and scholars expressed concerns regarding the reliability of the commonly used comparative performance indices, given the subjective nature of the competitive (comp) sets. This study explores the potential of two alternative comp sets: reverse and name-back. It is demonstrated that they have a higher level of integrity as they moderate the values of a traditional comp set–based RevPAR (revenue per available room) index, are simple to implement, and are more dynamic. The study shows analytically and empirically that the two are likely to mitigate biases and that the reverse comp set appears to be more effective than the name-back. Multiple practical implications are outlined and discussed.

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酒店分析:逆向竞争集的案例

酒店业从业者和学者对常用的比较绩效指标的可靠性表示担忧，因为竞争(比较)指标具有主观性。本研究探讨了两种可供选择的比较集的潜力:反向和反向。结果表明，它们具有更高的完整性，因为它们调节了传统的基于比较集的RevPAR(每间可用房间的收入)指数的值，易于实现，并且更具动态性。从分析和经验的角度来看，研究表明，这两种方法可能会减轻偏见，而反向比较组似乎比反向比较组更有效。本文概述并讨论了多种实际意义。

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

Cornell Hospitality Quarterly Multiple-

CiteScore

8.50

自引率

2.90%

发文量

期刊介绍： Cornell Hospitality Quarterly (CQ) publishes research in all business disciplines that contribute to management practice in the hospitality and tourism industries. Like the hospitality industry itself, the editorial content of CQ is broad, including topics in strategic management, consumer behavior, marketing, financial management, real-estate, accounting, operations management, planning and design, human resources management, applied economics, information technology, international development, communications, travel and tourism, and more general management. The audience is academics, hospitality managers, developers, consultants, investors, and students.