Forecasting and Evaluating the Tourist Hotel Industry Performance in Taiwan Based on Grey Theory

Wann Yih Wu, Shih-Wen Hsiao, Cheng Hung Tsai

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Although Grey theory is extensively adopted to construct the forecasting models for evaluating organisational performance, it is rarely used in the hotel industry. This study draws on the GM(1,1) model to accurately predict the coming year's output value and on Grey relational analysis to select the best-performing hotels in Taiwan. Measures of hotel performance — including profit before tax, ROI before tax, revenue per employee, REVPAR, revenue per square meter, and occupancy rate — were collected from the Tourism Bureau in Taiwan. These data contain the performance of 56 international tourist hotels in 2002 and industry data from 1992 to 2005. Results in this study indicate that four-point GM(1,1) is the best model for predicting output value in the future. In addition, this investigation reveals the various competitive advantages and strategies in these top hotels, such as their appropriate site, higher price, and higher occupancy rate.

Original languageEnglish
Pages (from-to)137-152
Number of pages16
JournalTourism and Hospitality Research
Volume8
Issue number2
DOIs
Publication statusPublished - 2008 Jan 1

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tourist
Taiwan
industry
performance
tax revenue
taxes
Values
revenue
profit
tourism
Tourism
employee
Grey theory
Tourists
Hotels
Industry performance
Hotel industry
hotel industry
rate
tax

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Tourism, Leisure and Hospitality Management

Cite this

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Forecasting and Evaluating the Tourist Hotel Industry Performance in Taiwan Based on Grey Theory. / Wu, Wann Yih; Hsiao, Shih-Wen; Tsai, Cheng Hung.

In: Tourism and Hospitality Research, Vol. 8, No. 2, 01.01.2008, p. 137-152.

Research output: Contribution to journalArticle

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