Benchmarking in tourism and hospitality industries : the selection of benchmarking partners / Karl W. Wöber, Institute for Tourism and Leisure Studies, Vienna University of Economics and Business Administration.

By:

Wöber, Karl W [author.]

Contributor(s):

C.A.B. International [issuing body.]

Material type: Text

TextPublisher: Wallingford, Oxfordshire, UK : CABI, 2002Copyright date: 2002Description: 1 online resource (xiii, 261 pages) : illustrations, chartsContent type:

text

Media type:

computer

Carrier type:

online resource

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Print version:: Benchmarking in tourism and hospitality industries.DDC classification:

338.4/791/068 23

LOC classification:

G155.A1 W56 2002eb

Online resources:

Click here to access resource

Also available in print format.

Contents:

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.

Abstract: 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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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.

ICAR-Indian Agricultural Research Library

Benchmarking in tourism and hospitality industries : the selection of benchmarking partners / Karl W. Wöber, Institute for Tourism and Leisure Studies, Vienna University of Economics and Business Administration.