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|a CtWfDGI
|b eng
|c CtWfDGI
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|a G155.A1
|b W56 2002eb
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|a 338.4/791/068
|2 23
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|a Wöber, Karl W.,
|e author.
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|a Benchmarking in tourism and hospitality industries :
|b the selection of benchmarking partners /
|c Karl W. Wöber, Institute for Tourism and Leisure Studies, Vienna University of Economics and Business Administration.
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|a Wallingford, Oxfordshire, UK :
|b CABI,
|c 2002.
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|c ©2002
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| 300 |
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|a 1 online resource (xiii, 261 pages) :
|b illustrations, charts
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references (pages 234-256) and index.
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|a 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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|a Access limited to subscribing institution.
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|a 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.
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|a Also available in print format.
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| 588 |
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|a Title from PDF title page (viewed August 14, 2013).
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| 650 |
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|a Hospitality industry
|x Management.
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| 650 |
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|a Tourism
|x Management.
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| 650 |
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|a Benchmarking (Management)
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| 650 |
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|a Leisure, Recreation and Tourism Economics, (New March 2000)
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| 650 |
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|a Tourism and Travel.
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| 650 |
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|a Mathematics and Statistics.
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| 650 |
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|a Hospitality industry.
|2 cabt
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| 650 |
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7 |
|a Hotels.
|2 cabt
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| 650 |
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7 |
|a Measurement.
|2 cabt
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| 650 |
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|a Production functions.
|2 cabt
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| 650 |
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|a Regression analysis.
|2 cabt
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| 650 |
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|a Statistical analysis.
|2 cabt
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| 650 |
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|a Tourism.
|2 cabt
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| 650 |
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|a Tourist industry.
|2 cabt
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|a Electronic books.
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| 690 |
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|a EE119
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| 690 |
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|a UU700
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| 690 |
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|a ZZ100
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| 710 |
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|a C.A.B. International,
|e issuing body.
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| 776 |
0 |
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|a Wöber, Karl W.
|d Oxford, U.K. : CABI Pub., c2002.
|i Print version:
|t Benchmarking in tourism and hospitality industries.
|w (DLC)2002000679
|z 0851995535
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| 856 |
4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1079/9780851995533.0000
|z View fulltext via EzAccess
|