- ホーム
- > 洋書
- > 英文書
- > Business / Economics
Full Description
Management Science in Hospitality and Tourism is a timely and unique book focusing on management science applications. The first section of the book introduces the concept of management science application in hospitality and tourism and related issues to set the stage for subsequent sections. Section II focuses on management science applications with conceptual pieces, empirical applications, and best practices with examples coming from different parts of the world and settings. The last section ends with a chapter focusing on challenges and future research directions.
This book goes beyond revenue management topics and presents a broad range of topics in management science applications as they relate to hospitality and tourism cases. Researchers and students in hospitality and tourism will find this book very useful since it contains chapters on data analytics, e-commerce and technology, revenue and yield management, optimization methods, resource allocation, goal programming, dynamic programming, Markov chain models, trends analysis and detection, measuring potential and attractiveness in tourism development, performance measures and use of indices in hospitality and tourism, and more. There is a heightened interest in these areas of business applications in today's data-driven business environment, and this book addresses that interest.
This book is the only comprehensive text on management science applications in hospitality and tourism. It will help managers and hospitality and tourism students as future managers to develop an in-depth understanding of the importance of data analysis, interpretation, and generating information, and intelligence for decision making. It covers a broad range of applications representing different geographic regions of the world.
Contents
Management Science Applications in Tourism and Hospitality. Complex Tourism Systems: A Quantitative Approach. Monitoring and Forecasting Tourist Activities with Big Data. Micro Marketing and Big Data Analytics: An Information System for Destination Marketing Management. Best-Worst Scaling Method: Application to Hospitality and Tourism Research. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) in Tourism Research. Quantity and Quality Issues in Demand for Tourism. Time Series Models for Capacity Management in the Hospitality Industry. An Extended Gravity Model: Applying Destination Competitiveness. Efficacy of Static Shift Share Analysis in Measuring Tourism Industry's Performance in South Carolina. Destination Attractiveness Based on Supply and Demand Evaluations. Overbooking Research in the Lodging Industry: From Origins in Airlines to What Lies Ahead. Evaluating Forecasting Performance: Accuracy Measures and Their Application in Hospitality. Frontier Approaches for Performance Measurement in the Hospitality and Tourism Industries. Managing Tourist Satisfaction: An Index Approach. Toward Increased Accuracy in Productivity Measurement: Evidence-Based Analytics.
