Benchmarking in tourism and hospitality industries : the selection of benchmarking partners /

• Main Author: Wöber, Karl W., (Author)
• Format: eBook
• Language: English
• Published: Wallingford, Oxfordshire, UK : CABI, 2002.
• Subjects: 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.
• Online Access: View fulltext via EzAccess
• Physical Description: 1 online resource (xiii, 261 pages) : illustrations, charts; Also available in print format.
• Bibliography: Includes bibliographical references (pages 234-256) and index.
• Access: 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.