Benchmarking in tourism and hospitality industries :
Wöber, Karl W.,
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. - 1 online resource (xiii, 261 pages) : illustrations, charts
Includes bibliographical references (pages 234-256) and 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.
Access limited to subscribing institution.
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.
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.
Electronic books.
G155.A1 / W56 2002eb
338.4/791/068
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. - 1 online resource (xiii, 261 pages) : illustrations, charts
Includes bibliographical references (pages 234-256) and 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.
Access limited to subscribing institution.
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.
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.
Electronic books.
G155.A1 / W56 2002eb
338.4/791/068