
Management Science in Hospitality and Tourism
Theory, Practice, and Applications
- 426 pages
- English
- PDF
- Available on iOS & Android
Management Science in Hospitality and Tourism
Theory, Practice, and Applications
About this book
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.
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Information
Table of contents
- Front Cover
- Title Page
- Copyright Page
- About the Editors
- Advances in Hospitality and Tourism Book Series
- Contents
- List of Contributors
- List of Abbreviations
- Preface
- Chapter 1: Management Science Applications in Tourism and Hospitality
- Chapter 2: Complex Tourism Systems: A Quantitative Approach
- Chapter 3: Monitoring and Forecasting Tourist Activities With Big Data
- Chapter 4: Micro-Marketing and Big Data Analytics: An Information System for Destination Marketing Management
- Chapter 5: BestâWorst Scaling Method: Application to Hospitality and Tourism Research
- Chapter 6: Using Partial Least Squares Structural Equation Modeling (PLS-SEM) in Tourism Research
- Chapter 7: Quantity and Quality Issues in Demand for Tourism
- Chapter 8: Time Series Models for Capacity Management in the Hospitality Industry
- Chapter 9: An Extended Gravity Model: Applying Destination Competitiveness
- Chapter 10: Efficacy of Static ShiftâShare Analysis in Measuring Tourism Industryâs Performance in South Carolina
- Chapter 11: Destination Attractiveness Based on Supply and Demand Evaluations
- Chapter 12: Overbooking Research in the Lodging Industry: From Origins in Airlines to What Lies Ahead
- Chapter 13: Evaluating Forecasting Performance: Accuracy Measures and Their Application in Hospitality
- Chapter 14: Frontier Approaches for Performance Measurement in the Hospitality and Tourism Industries
- Chapter 15: Managing Tourist Satisfaction: An Index Approach
- Chapter 16: Toward Increased Accuracy in Productivity Measurement: Evidence-Based Analytics
- Chapter 17: Performance Measures and Use in Hospitality
- Back Cover