1.

Record Nr.

UNINA9910784071403321

Titolo

Management science applications in tourism and hospitality / / Zheng Gu, editor

Pubbl/distr/stampa

New York : , : Routledge, , 2012

ISBN

1-138-15569-1

1-317-70862-8

1-315-78247-2

1-317-70861-X

Descrizione fisica

1 online resource (127 p.)

Altri autori (Persone)

GuZheng <1947->

Disciplina

910/.68

Soggetti

Hospitality industry - Management

Tourism - Management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

". has been co-published simultaneously as Journal of travel & tourism marketing, Volume 16, Numbers 2/3 2004."

First published by the Haworth Hospitality Press, 2004.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Cover; Half Title; Title Page; Copyright Page; Table of Contents; Preface; A Multi-Criteria Approach to Destination Benchmarking: A Case Study of State Tourism Advertising Programs in the United States; An Exploratory Investigation of Multiunit Restaurant Productivity Assessment Using Data Envelopment Analysis; Hotel Labor Productivity Assessment: A Data Envelopment Analysis; Using Data Envelopment Analysis for Measuring and Benchmarking Productivity in the Hotel Sector; Modeling Tourism Demand: A Decision Rules Based Approach

Initially Testing an Improved Extrapolative Hotel Room Occupancy Rate Forecasting TechniqueForecasting in Short-Term Planning and Management for a Casino Buffet Restaurant; Applying City Perception Analysis (CPA) for Destination Positioning Decisions; Index

Sommario/riassunto

Find out how accurate forecasting and analysis can prevent costly mistakes!  Management Science Applications in Tourism and Hospitality examines innovative tools for evaluating performance and productivity in tourism offices, hotels, and restaurants. This collection of recent studies focuses on two important topics of management science:



forecasting and a relatively new analytical methodology called data envelopment analysis (DEA). This book will show you how tourism forecasting accuracy can be enhanced and how DEA can be used to benchmark productivity and improve advertisement efficie