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Benchmarking tourist hotels performance for strategies development

Bibliographic Data

ID21698634
AuthorsTien-Chin Wang (National Kaohsiung University of Science and Technology), Shu-Li Huang (0000-0001-5010-2580, National Kaohsiung University of Science and Technology, corresponding author)
Year2021
Volume24
Issue3
Pages424-441
Publication date2021-02-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCurrent Issues in Tourism (JOURNAL)
Journal identifiersISSN: 1368-3500 • E-ISSN: 1747-7603
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13683500.2020.1718065
OpenAlexW3000899414
LanguageEN
References cited51

The marked decrease in the number of mainland tourists visiting Taiwan may turn from a temporary phenomenon to a normalized one because of the potential harm it represents to the Taiwan tourism industry. The purpose of this study is to use hierarchical cluster analysis combined with entropy to derive clustering and to identify appropriate performers by measuring operational performance levels. These clusters may serve as the benchmarks for under-performing tourist hotels (classified into five groups according to the numbers of employees) to improve in response to the reduced number of Chinese tourists coming to Taiwan. This study provides a different insight into the tourist hotels industry in benchmarking comparable to previous research groups. The measurement of five criteria has been both statistically different and significant for the clusters in order to support a view that the clusters contain hotels with a similar numbers of employees while maintaining distinct performance profiles and developing strategies for improvement

Benchmarking · Business · China · Cluster analysis · Geography · Hierarchical clustering · Hospitality industry · Hotel industry · Mainland · Mainland China · Statistics · Tourism · Computer Science · Cruise Tourism Development and Management · Customer Service Quality and Loyalty · Diverse Aspects of Tourism Research · Mathematics · Marketing

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