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Benchmarking in tourism and hospitality industries

  1. Title statementBenchmarking in tourism and hospitality industries : the selection of benchmarking partners / Karl W. W?ber, Institute for Tourism and Leisure Studies, Vienna University of Economics and Business Administration.
    PublicationWallingford, Oxfordshire, UK : CABI, 2002.
    Copyright notice date?002
    Phys.des.1 online resource (xiii, 261 pages) : illustrations, charts
    Internal Bibliographies/Indexes NoteIncludes bibliographical references (pages 234-256) and index.
    Notes to AvailabilityAccess limited to subscribing institution.
    Another responsib. C.A.B. International,
    Subj. Headings Hospitality industry - Management. * Tourism - Management. * Benchmarking (Management) * Leisure, Recreation and Tourism Economics, (New March 2000) * Tourism and Travel. * Mathematics and Statistics. * Hospitality industry. * Hotels. * Measurement. * Production functions. * Regression analysis. * Statistical analysis. * Tourism. * Tourist industry.
    Form, Genre Electronic books.
    CountryAnglie
    Languageangličtina
    Document kindElectronic sources
    URLClick here to access resource
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    This book provides a detailed description of different performance measurement methods in the context of the tourism and hospitality industry. Chapter 1 serves as an introduction to the principal concept of benchmarking and why it became so popular within the industry. Chapter 2 consists of a comprehensive description of studies on the practice of benchmarking in the tourism and hospitality industry. Chapter 3 deals with theoretical issues related to the measurement of business performance. Chapter 4 presents analytical techniques for estimating the unknown production function, basically classified as central tendency and frontier methods. Chapter 5 introduces the database (the Austrian Hotel and Restaurant Panel, 1991-97) used in the subsequent experimental studies and elaborates on existing performance studies in tourism research. Chapter 6 focuses on the application of mixture regression models as a central tendency's approach for the selection of optimal comparison partners. It includes an illustrative case example for the Austrian hotel and restaurant database. Chapter 7 discusses the data envelopment analysis (DEA) models and illustrates these using numerical examples. Chapter 8 introduces evolutionary data envelopment analysis, a completely new optimization technique for DEA problems to overcome at least some of DEA's main restrictions. Chapter 9 discusses developments and issues that are relevant for the future of benchmarking decision support systems and summarizes the most important research questions surrounding them. The book has a subject index.

    Benchmarking studies in the tourism and hospitality industries -- Measuring business performance -- Methods for estimating the production function -- The Austrian Hotel and restaurant panel -- A mixture regression model -- Data envelopment analysis -- Evolutionary data envelopment analysis -- Perspectives of benchmarking decision support systems in tourism and hospitality management.

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