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Effect of Hotel Size on Hotel Operational Performance: Case Study from Taiwanese Hotels

机译:酒店规模对酒店运营绩效的影响:以台湾酒店为例

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This research is to evaluate the operational performance of International Tourist Hotels in Taiwan. In the face of a highly competitive environment, a hotel?s operational performance plays a crucial role in determining the hotel?s profitability and competitiveness. Performance measures can provide hotel managers with benchmarking information and insights into how the hotel can improve performance with its current resources, or through changing resource allocation. Therefore, it is very important for managers to evaluate their hotels? operational performance. Different approaches and techniques have previously been employed to conduct such evaluations, however, the often-used mechanisms for measuring and analyzing performance of hotels do not capture the relevant performance issues necessary for the hotel sector. Data Envelopment Analysis (DEA) provides a framework that integrates several relatively disparate inputs and outputs, producing a single productivity index to help analysts identify which hotel is the most efficient. This technique has been used in this study to assess the relative productivity efficiency of Taiwanese hotels. However, this DEA index only indicated the relative efficiency of all sample hotels and did not consider the role of hotel size. This shortcoming was rectified through the construction of an adjustment to reflect the effect of hotel size on DEA efficiency. Implications for hotel management arising from this adjustment are discussed.
机译:本研究旨在评估台湾国际旅游饭店的运营绩效。面对高度竞争的环境,酒店的运营绩效在决定酒店的盈利能力和竞争力方面起着至关重要的作用。绩效指标可以为酒店管理人员提供基准信息,以及有关酒店如何利用其当前资源或通过更改资源分配来提高绩效的见解。因此,对管理者进行酒店评价很重要吗?经营业绩。以前已经采用了不同的方法和技术来进行此类评估,但是,用于衡量和分析酒店绩效的常用机制并未捕获到酒店业必需的相关绩效问题。数据包络分析(DEA)提供了一个框架,该框架整合了几个相对不同的输入和输出,从而产生了一个生产率指标,以帮助分析人员确定哪家酒店效率最高。该技术已用于本研究中以评估台湾酒店的相对生产力效率。但是,该DEA指数仅表明所有样本酒店的相对效率,而没有考虑酒店规模的作用。通过构建调整以反映酒店规模对DEA效率的影响,可以纠正此缺陷。讨论了此调整对酒店管理的影响。

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