Analyzing the efficiency of the Indian hotel industry using the Malmquist DEA approach

IF 4.5 Q1 MANAGEMENT
Shobha Tewari, A. Arya
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引用次数: 0

Abstract

PurposeThe purpose of this paper is to determine the most efficient hotels in the Indian hotel industry, the competitive positioning of these hotels, and the factors that affect their efficiency change.Design/methodology/approachThis study conducts a two-stage analysis and uses data envelopment analysis (DEA) and Global Malmquist productivity index (MPI) approach in the first stage to calculate the managerial performance of a panel of 63 Indian hotels in 2019–2020 and their efficiency change from 2009–2010 to 2019–2020. Bootstrapped generalized least square (GLS) approach is applied in the second stage to evaluate the impact of contextual variables on efficiency change.FindingsUsing the results of the first stage analysis, the authors categorized the 63 Indian hotels into 7 distinct clusters. These clusters represent different levels of competitiveness and pace of growth. The GLS regression reveals a U-shaped relationship between hotel size and efficiency change and a negative relationship between pro social investments and efficiency.Originality/valueThis is the first study in the hotel industry that has used global MPI as a measure of efficiency change in the first stage and GLS in the second stage. In the Indian context, to the best of authors’ knowledge, no such study exists.
用Malmquist DEA方法分析印度酒店业的效率
本文的目的是确定印度酒店业中效率最高的酒店,这些酒店的竞争定位,以及影响其效率变化的因素。本研究进行了两阶段的分析,并在第一阶段使用数据包络分析(DEA)和全球Malmquist生产力指数(MPI)方法来计算63家印度酒店在2019-2020年的管理绩效及其从2009-2010年到2019-2020年的效率变化。第二阶段采用自举广义最小二乘(GLS)方法评估环境变量对效率变化的影响。使用第一阶段分析的结果,作者将63家印度酒店分为7个不同的集群。这些集群代表着不同水平的竞争力和增长速度。GLS回归显示,酒店规模与效率变化呈u型关系,亲社会投资与效率呈负相关关系。原创性/价值这是酒店业的第一个研究,在第一阶段使用全球MPI作为效率变化的衡量标准,在第二阶段使用GLS。在印度的背景下,据作者所知,不存在这样的研究。
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
CiteScore
10.40
自引率
16.10%
发文量
154
期刊介绍: Benchmarking is big news for companies committed to total quality programmes. Its enthusiastic reception by many prominent business figures has created high levels of interest in a technique which promises big rewards for co-operating partners. Yet, like total quality itself, it must be understood in its proper context, and implemented single mindedly if it is to be effective - this journal helps companies to decide if benchmarking is right for them, and shows them how to go about it successfully.
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