Benchmarking tourist hotels performance for strategies development

Wang, Tien-Chin; Shu-Li, Huang

doi:10.1080/13683500.2020.1718065

Cited by 5 publications

(1 citation statement)

References 51 publications

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“…For business hotels, revenue from accommodation and banquet services are theoretically in conflict due to facility and space constraints (Goldman & Eyster, 1992). Since the decrease in the number of China tourists beginning in 2017 (Wang & Huang, 2021), catering revenue, which mainly comes from banquets, weddings, and corporate parties, has become essential survival income for business hotels. Consequently, operators are investing more resources in improving the quality and diversity of their catering and even invite well‐known chefs to manage their catering services to enhance the technology used in catering (Chen & Wang, 2019).…”

Section: Discussionmentioning

confidence: 99%

Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry

Huang

Chen

2022

Manage Decis Econ

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The main purpose of this study was to develop nonradial metafrontier data envelopment analysis (DEA). Previous studies commonly used assumptions involving the redial measure and convexity of metafrontier to evaluate efficiency and the technology gap. The two assumptions have limitations, and a model that modifies the two assumptions simultaneously has not been proposed. In this study, a nonradial metafrontier DEA is proposed that incorporates the assumptions of nonconvexity as well as the nonradial measure. The study also developed the MFR index for measuring the technology gap based on individual factors.

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Section: Discussionmentioning

confidence: 99%

Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry

Huang

Chen

2022

Manage Decis Econ

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Knowledge flows in Data Envelopment Analysis. The role of peer effects

Chatzistamoulou,

Kounetas,

Tsekouras

2024

Omega

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Ownership Structure and Performance of China’s A-Share-Listed Benchmark Hotels

Peng

Zhang

Lin

et al. 2021

Journal of China Tourism Research

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This study explores how the ownership structure of China's A-share-listed hotel industry affects the operating performance which can help understand the uniqueness of the hotel industry in China. On the basis of the panel data analysis of six A-sharelisted hotels in recent years, the research reveals the following. (1) The proportion of state-owned, institutional investors, tradable ownership and the equity balance index have negative effects on return on assets (ROA). While the proportion of managerial ownership has a positive influence on ROA. (2) The proportion of state-owned, tradable ownership and the equity balance index have positive effect on performance. The proportions of managerial ownership and the top ten shareholders have negative effects on Tobin's Q. (3) The proportion of state-owned, institutional investor shares, tradable ownership and the equity balance index have negative effects on the sustainable growth rate. We found that the Chinese hotel industry moves towards the trend of global operations but still keep it characteristics in the local market structure.

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Benchmarking tourist hotels performance for strategies development

Cited by 5 publications

References 51 publications

Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry

Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry

Knowledge flows in Data Envelopment Analysis. The role of peer effects

Ownership Structure and Performance of China’s A-Share-Listed Benchmark Hotels

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