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.

Table of Contents

• About the Editors
• List of Contributors
• List of Abbreviations
• Preface
• 1. Management Science Applications in Tourism and Hospitality - Muzaffer Uysal, Zvi Schwartz, and Ercan Sirakaya-Turk
• 1.1 Introduction
• 1.2 Management Science Applications
• 1.3 Contribution of This Book
• 1.4 Overview of the Contents
• Acknowledgments
• Keywords
• References
• 2. Complex Tourism Systems: A Quantitative Approach - Rodolfo Baggio and Giacomo Del Chiappa
• 2.1 Introduction
• 2.2 Complex Tourism Systems
• 2.3 The Study of Complex Systems: A Methodological Overview
• 2.4 Main Issues in the Application of Complexity Science
• 2.5 The Analysis of Complex Tourism Systems
• 2.6 Conclusion
• Keywords
• References
• 3. Monitoring and Forecasting Tourist Activities with Big Data - Bing Pan and Yang Yang
• 3.1 Introduction
• 3.2 Conceptual Framework
• 3.3 Types of Big Data for Monitoring, Understanding, and Forecasting Tourists’ Behavior
• 3.4 Conclusions
• Keywords
• References
• 4. Micro-Marketing and Big Data Analytics: An Information System for Destination Marketing Management - Daniel R. Fesenmaier, Neeraj Bharadwaj, Jason Stienmetz, and Zheng Xiang
• 4.1 Introduction
• 4.2 From Mass Marketing to Micro-Marketing for Tourist Destinations
• 4.3 Design Method: The Northern Indiana Travel Network (NITN)
• 4.4 Discussion
• Keywords
• References
• 5. Best-Worst Scaling Method: Application to Hospitality and Tourism Research - Eli Cohen and Larry Lockshin
• 5.1 Introduction
• 5.2 Designing Best Worst Surveys and Data Analyses
• 5.3 Examples of Best-Worst Studies
• 5.4 Importance of Issues in Restaurants
• 5.5 Segmentation
• 5.6 Comparing Latent Clustering Results Using BWS and Likert-Type Scaling
• 5.7 Conclusion
• Keywords
• References
• 6. Using Partial Least Squares Structural Equation Modeling (Pls-Sem) in Tourism Research - Rob Hallak and Guy Assaker
• 6.1 Introduction
• 6.2 PLS-SEM Basics
• 6.3 PLS-SEM Purpose and Application
• 6.4 Model Assessment and Validation
• 6.5 Example of PLS-SEM in Tourism
• 6.6 Conclusion
• Keywords
• References
• 7. Quantity and Quality Issues in Demand for Tourism - Aliza Fleischer
• 7.1 Introduction
• 7.2 Literature Review
• 7.3 Models
• 7.4 Application
• 7.5 Conclusion
• Keywords
• References
• 8. Time Series Models for Capacity Management in the Hospitality Industry - Tianshu Zheng
• 8.1 Introduction
• 8.2 Time Series Forecasting
• 8.3 Time Series Models in the Hospitality and Tourism Research
• 8.4 Conclusion
• Keywords
• References
• 9. An Extended Gravity Model: Applying Destination Competitiveness - Jeong-Yeol Park and SooCheong (Shawn) Jang
• 9.1 Introduction
• 9.2 Literature Review
• 9.3 Methodology
• 9.4 Results
• 9.5 Conclusion
• 9.5 Limitations and Suggestions for Future Study
• Acknowledgement
• Keywords
• References
• 10. Efficacy of Static Shift-Share Analysis in Measuring Tourism Industry's Performance in South Carolina - Tarik Dogru and Ercan Sirakaya-Turk
• 10.1 Introduction
• 10.2 Conceptual Model
• 10.3 Methodology
• 10.4 Results and Discussion
• 10.5 Conclusion
• Acknowledgments
• Keywords
• References
• 11. Destination Attractiveness Based on Supply and Demand Evaluations - Sandro Formica and Muzaffer Uysal
• 11.1 Introduction
• 11.2 Methodology
• 11.3 Analysis and Results
• 11.4 Conclusion
• Acknowledgement
• Keywords
• References
• 12. Overbooking Research in the Lodging Industry: From Origins in Airlines to What Lies Ahead - Matthew Krawczyk, Timothy Webb, Zvi Schwartz, and Muzaffer Uysal
• 12.1 Introduction
• 12.2 Origins of Research Concerning Overbooking in Hotels
• 12.3 Overbooking's Transition into Yield Management
• 12.4 Overbooking in Yield and Revenue Management
• 12.5 Overbooking's Effects on Customer Satisfaction
• 12.6 Current Research in Hotel Overbooking
• 12.7 Conclusion
• Keywords
• References
• 13. Evaluating Forecasting Performance: Accuracy Measures and their Application in Hospitality - Larissa Koupriouchina, Jean-Pierre van der Rest, Zvi Schwartz, and Dirk Sierag
• 13.1 Introduction
• 13.2 An Overview of Forecasting Measures
• 13.3 Case Illustration
• 13.4 Conclusion
• Keywords
• References
• 14. Frontier Approaches for Performance Measurement in the Hospitality and Tourism Industries - A. George Assaf and Frank Wogbe Agbola
• 14.1 Introduction
• 14.2 Concept of Technical Efficiency
• 14.3 Frontier Methods for Estimating Technical Efficiency
• 14.4 Which Frontier Approach Is Preferable?
• 14.5 Empirical Application
• 14.6 Results
• 14.7 Conclusion
• Keywords
• References
• 15. Managing Tourist Satisfaction: An Index Approach - Jason Li Chen, Gang Li, and Haiyan Song
• 15.1 Introduction
• 15.2 Theoretical Frameworks of Consumer/Tourist Satisfaction
• 15.3 Development of the Tourist Satisfaction Index Framework
• 15.4 Case Studies
• 15.5 Conclusion
• Keywords
• References
• 16. Toward Increased Accuracy in Productivity Measurement: Evidence-Based Analytics - Cherylynn Becker
• 16.1 Introduction
• 16.2 Historic Perspectives
• 16.3 Economic Perspectives
• 16.4 Comparative Productivity—Data Envelopment Analysis
• 16.5 Ratio Benchmarking
• 16.6 Evidence-Based Analytics
• 16.7 Conclusion
• Keywords
• References
• 17. Performance Measures and Use in Hospitality - Ersem Karadag
• 17.1 Introduction
• 17.2 Performance Measurement and Managerial Decisions
• 17.3 Financial Measures Used in the Hospitality Industry
• 17.4 Ratio Analysis in the Hospitality Industry
• 17.5 Operating Ratios
• 17.6 Conclusion
• Keywords
• References